BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.4.0.1//EN
TZID:Europe/Paris
X-WR-TIMEZONE:Europe/Paris
BEGIN:VEVENT
UID:261@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20201105T140000
DTEND;TZID=Europe/Paris:20201105T140000
DTSTAMP:20260828T070046Z
URL:https://isdm.umontpellier.fr/events/launch-organization-of-ml-mtp-benc
 hopt/
SUMMARY:Launch / organization of ML-MTP + Benchopt
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:262@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20201119T140000
DTEND;TZID=Europe/Paris:20201119T140000
DTSTAMP:20260828T070137Z
URL:https://isdm.umontpellier.fr/events/lloyd-s-algorithm-and-spectral-clu
 stering/
SUMMARY:Lloyd's Algorithm and spectral clustering
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:263@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20201203T140000
DTEND;TZID=Europe/Paris:20201203T140000
DTSTAMP:20260828T070251Z
URL:https://isdm.umontpellier.fr/events/risks-measures-in-medical-imaging/
SUMMARY:Risks measures in medical imaging
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:264@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210107T140000
DTEND;TZID=Europe/Paris:20210107T140000
DTSTAMP:20260828T070342Z
URL:https://isdm.umontpellier.fr/events/neurips-debriefing-rankmax-an-adap
 tive-projection-alternative-to-the-softmax-function/
SUMMARY:NeurIPS debriefing: "Rankmax: An Adaptive Projection Alternative to
  the Softmax Function"""
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:265@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210121T140000
DTEND;TZID=Europe/Paris:20210121T140000
DTSTAMP:20260828T070454Z
URL:https://isdm.umontpellier.fr/events/similarity-search-approximate-near
 est-neighbors-et-hashing/
SUMMARY:Similarity Search\, Approximate Nearest Neighbors et hashing
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:266@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210204T140000
DTEND;TZID=Europe/Paris:20210204T140000
DTSTAMP:20260828T070533Z
URL:https://isdm.umontpellier.fr/events/keops-fast-geometric-methods-with-
 symbolic-matrices-software/
SUMMARY:Keops: Fast geometric methods with symbolic matrices (software)
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:267@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210218T140000
DTEND;TZID=Europe/Paris:20210218T140000
DTSTAMP:20260828T070613Z
URL:https://isdm.umontpellier.fr/events/r-shiny-building-interactive-graph
 ical-applications-seamlessly/
SUMMARY:R shiny: building interactive graphical applications seamlessly
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:268@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210304T140000
DTEND;TZID=Europe/Paris:20210304T140000
DTSTAMP:20260828T070650Z
URL:https://isdm.umontpellier.fr/events/introduction-to-causal-inference/
SUMMARY:Introduction to causal inference
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:269@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210318T140000
DTEND;TZID=Europe/Paris:20210318T140000
DTSTAMP:20260828T070724Z
URL:https://isdm.umontpellier.fr/events/fast-classification-rates-without-
 standard-margin-assumption-and-other-stuff-paper-club/
SUMMARY:Fast Classification rates without standard margin assumption [and o
 ther stuff] (paper club)
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:270@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210401T140000
DTEND;TZID=Europe/Paris:20210401T140000
DTSTAMP:20260828T070804Z
URL:https://isdm.umontpellier.fr/events/expanding-boundaries-of-gap-safe-s
 creening/
SUMMARY:Expanding boundaries of Gap Safe screening
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nPart of the &quot\;Screening sessio
 n&quot\;&quot\;.&quot\;\n\nMachine Learning in Montpellier\, Theory &amp\;
  Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:271@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210401T140000
DTEND;TZID=Europe/Paris:20210401T140000
DTSTAMP:20260828T070848Z
URL:https://isdm.umontpellier.fr/events/screening-for-sparse-online-learni
 ng/
SUMMARY:Screening for sparse online learning
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nPart of the &quot\;Screening sessio
 n&quot\;&quot\;.&quot\;\n\nMachine Learning in Montpellier\, Theory &amp\;
  Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:272@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210415T140000
DTEND;TZID=Europe/Paris:20210415T140000
DTSTAMP:20260828T070924Z
URL:https://isdm.umontpellier.fr/events/learning-to-optimize-with-unrolled
 -algorithms/
SUMMARY:Learning to optimize with unrolled algorithms
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:273@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210429T140000
DTEND;TZID=Europe/Paris:20210429T140000
DTSTAMP:20260828T070954Z
URL:https://isdm.umontpellier.fr/events/ridge-regularization-an-essential-
 concept-in-data-science-paper-club/
SUMMARY:Ridge Regularization: an Essential Concept in Data Science (paper c
 lub)
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:274@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210520T140000
DTEND;TZID=Europe/Paris:20210520T140000
DTSTAMP:20260828T071034Z
URL:https://isdm.umontpellier.fr/events/segmentation-d-instance-du-r-cnn-a
 u-mask-r-cnn/
SUMMARY:Segmentation d'instance du R-CNN au Mask R-CNN
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n\,\,\n\nMachine Learning in Montpel
 lier\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:275@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210617T140000
DTEND;TZID=Europe/Paris:20210617T140000
DTSTAMP:20260828T072347Z
URL:https://isdm.umontpellier.fr/events/misinformation-in-times-of-the-pan
 demic/
SUMMARY:Misinformation in times of the pandemic
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMessages posted on Twitter reveal t
 hat many individuals believe COVID is a hoax: either that the virus does n
 ot exist\, is transmitted through 5G towers or is a bioweapon. Insights in
 to how these pieces of information affect risk attitudes\, behaviours and\
 , hence\, health outcomes help in designing credible policy aimed at conta
 ining the pandemic. However\, identifying impact of misinformation on heal
 th outcomes is not trivial. The development of the pandemic itself likely 
 influences the prevalence of misinformation. The goal of this project is t
 o develop strategies to identify and follow arguments related to misinform
 ation with the view of understanding how can COVID-related misinformation 
 can be combatted.\n\nMachine Learning in Montpellier\, Theory &amp\; Pract
 ice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:276@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210701T140000
DTEND;TZID=Europe/Paris:20210701T140000
DTSTAMP:20260828T072430Z
URL:https://isdm.umontpellier.fr/events/bayesian-model-choice-as-a-classif
 ication-problem/
SUMMARY:Bayesian model choice as a classification problem
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:277@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20210923T140000
DTEND;TZID=Europe/Paris:20210923T140000
DTSTAMP:20260828T072508Z
URL:https://isdm.umontpellier.fr/events/an-introduction-to-transformers/
SUMMARY:An introduction to transformers
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:278@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20211014T140000
DTEND;TZID=Europe/Paris:20211014T140000
DTSTAMP:20260828T072542Z
URL:https://isdm.umontpellier.fr/events/introduction-to-automatic-differen
 tiation/
SUMMARY:Introduction to automatic differentiation
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:279@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20211028T140000
DTEND;TZID=Europe/Paris:20211028T140000
DTSTAMP:20260828T072621Z
URL:https://isdm.umontpellier.fr/events/introduction-to-neural-network-ses
 sion-0-of-the-reading-group-on-deep-learning-a-statistical-viewpoint/
SUMMARY:Introduction to neural network (session 0 of the reading group on "
 Deep Learning: a statistical viewpoint"")"
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:280@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20211125T140000
DTEND;TZID=Europe/Paris:20211125T140000
DTSTAMP:20260828T072655Z
URL:https://isdm.umontpellier.fr/events/an-introduction-to-algorithmic-fai
 rness/
SUMMARY:An introduction to algorithmic fairness
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:281@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20211202T140000
DTEND;TZID=Europe/Paris:20211202T140000
DTSTAMP:20260828T072730Z
URL:https://isdm.umontpellier.fr/events/session-1-of-the-reading-group-on-
 deep-learning-a-statistical-viewpoint/
SUMMARY:Session 1 of the reading group on "Deep learning: a statistical vie
 wpoint"""
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:282@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20211209T140000
DTEND;TZID=Europe/Paris:20211209T140000
DTSTAMP:20260828T072803Z
URL:https://isdm.umontpellier.fr/events/session-2-of-the-reading-group-on-
 deep-learning-a-statistical-viewpoint/
SUMMARY:Session 2 of the reading group on "Deep learning: a statistical vie
 wpoint"""
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:283@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220106T140000
DTEND;TZID=Europe/Paris:20220106T140000
DTSTAMP:20260828T072833Z
URL:https://isdm.umontpellier.fr/events/cross-validation-what-does-it-esti
 mate-and-how-well-does-it-do-it-paper-presentation/
SUMMARY:Cross-validation: what does it estimate and how well does it do it?
  (paper presentation)
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:284@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220113T140000
DTEND;TZID=Europe/Paris:20220113T140000
DTSTAMP:20260828T072916Z
URL:https://isdm.umontpellier.fr/events/non-convex-sparse-regression-model
 s/
SUMMARY:Non-convex sparse regression models
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:285@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220127T140000
DTEND;TZID=Europe/Paris:20220127T140000
DTSTAMP:20260828T072956Z
URL:https://isdm.umontpellier.fr/events/tba/
SUMMARY:TBA
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nSession cancelled.\,\,\n\nMachine L
 earning in Montpellier\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:286@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220203T140000
DTEND;TZID=Europe/Paris:20220203T140000
DTSTAMP:20260828T073034Z
URL:https://isdm.umontpellier.fr/events/session-3-of-the-reading-group/
SUMMARY:Session 3 of the reading group
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:287@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220210T140000
DTEND;TZID=Europe/Paris:20220210T140000
DTSTAMP:20260828T073115Z
URL:https://isdm.umontpellier.fr/events/a-brief-tutorial-on-nonnegative-ma
 trix-factorization-for-unsupervised-learning/
SUMMARY:A brief tutorial on nonnegative matrix factorization for unsupervis
 ed learning
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:288@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220217T140000
DTEND;TZID=Europe/Paris:20220217T140000
DTSTAMP:20260828T073157Z
URL:https://isdm.umontpellier.fr/events/exploring-deep-neural-networks-via
 -layer-peeled-model-minority-collapse-in-imbalanced-training/
SUMMARY:Exploring deep neural networks via layer-peeled model: Minority col
 lapse in imbalanced training
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:289@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220224T140000
DTEND;TZID=Europe/Paris:20220224T140000
DTSTAMP:20260828T073236Z
URL:https://isdm.umontpellier.fr/events/theory-and-practice-of-coordinate-
 descent-tutorial-and-actual-improvements/
SUMMARY:Theory and practice of coordinate descent: tutorial and actual impr
 ovements
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:290@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220407T140000
DTEND;TZID=Europe/Paris:20220407T140000
DTSTAMP:20260828T073306Z
URL:https://isdm.umontpellier.fr/events/graph-neural-networks-on-large-ran
 dom-graphs-convergence-stability-universality/
SUMMARY:Graph Neural Networks on Large Random Graphs: Convergence\, Stabili
 ty\, Universality
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:291@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220414T140000
DTEND;TZID=Europe/Paris:20220414T140000
DTSTAMP:20260828T073343Z
URL:https://isdm.umontpellier.fr/events/introduction-to-rl-from-dynamic-pr
 ogramming-to-deep-q-networks/
SUMMARY:Introduction to RL: from Dynamic Programming to Deep Q-Networks
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n| Video:\n\nMachine Learning in Mon
 tpellier\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:292@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220421T140000
DTEND;TZID=Europe/Paris:20220421T140000
DTSTAMP:20260828T073427Z
URL:https://isdm.umontpellier.fr/events/reconciling-modern-machine-learnin
 g-practice-and-the-classical-biasvariance-trade-off-paper-presentation/
SUMMARY:Reconciling modern machine-learning practice and the classical bias
 –variance trade-off (paper presentation)
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:293@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220428T140000
DTEND;TZID=Europe/Paris:20220428T140000
DTSTAMP:20260828T073503Z
URL:https://isdm.umontpellier.fr/events/federated-multi-task-learning-lear
 ning-personalized-models-from-decentralized-data/
SUMMARY:Federated Multi-Task Learning: Learning Personalized Models from De
 centralized Data
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:294@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220512T140000
DTEND;TZID=Europe/Paris:20220512T140000
DTSTAMP:20260828T073537Z
URL:https://isdm.umontpellier.fr/events/uncertainty-quantification-and-oth
 er-challenges-in-ml-applied-to-sustainability-science/
SUMMARY:Uncertainty Quantification and Other Challenges in ML Applied to Su
 stainability Science
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:295@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220609T140000
DTEND;TZID=Europe/Paris:20220609T140000
DTSTAMP:20260828T075809Z
URL:https://isdm.umontpellier.fr/events/reservoirpy-a-python-library-for-r
 eservoir-computing/
SUMMARY:ReservoirPy: a Python library for Reservoir Computing
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\n|\n\nMachine Learning in Montpellie
 r\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:296@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220915T140000
DTEND;TZID=Europe/Paris:20220915T140000
DTSTAMP:20260828T075854Z
URL:https://isdm.umontpellier.fr/events/optimal-transport-and-barycenters/
SUMMARY:Optimal transport and barycenters
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:297@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220922T140000
DTEND;TZID=Europe/Paris:20220922T140000
DTSTAMP:20260828T075944Z
URL:https://isdm.umontpellier.fr/events/high-probability-convergence-and-a
 lgorithmic-stability-for-stochastic-gradient-descent/
SUMMARY:High-probability convergence and algorithmic stability for stochast
 ic gradient descent
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:298@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20220929T140000
DTEND;TZID=Europe/Paris:20220929T140000
DTSTAMP:20260828T080024Z
URL:https://isdm.umontpellier.fr/events/a-framework-for-optimal-convex-reg
 ularization-for-the-recovery-of-low-dimensional-models/
SUMMARY:A framework for optimal convex regularization for the recovery of l
 ow-dimensional models
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:299@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20221013T140000
DTEND;TZID=Europe/Paris:20221013T140000
DTSTAMP:20260828T080111Z
URL:https://isdm.umontpellier.fr/events/improve-learning-combining-crowdso
 urced-labels-by-weighting-areas-under-the-margin/
SUMMARY:Improve learning combining crowdsourced labels by weighting Areas U
 nder the Margin
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:300@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20221020T140000
DTEND;TZID=Europe/Paris:20221020T140000
DTSTAMP:20260828T080144Z
URL:https://isdm.umontpellier.fr/events/non-negative-tucker-decomposition/
SUMMARY:Non-negative Tucker decomposition
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:301@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20221110T140000
DTEND;TZID=Europe/Paris:20221110T140000
DTSTAMP:20260828T080224Z
URL:https://isdm.umontpellier.fr/events/rotation-and-scale-equivariant-vis
 ion-models-with-graph-neural-networks-and-sift/
SUMMARY:Rotation and scale equivariant vision models with graph neural netw
 orks and SIFT
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:302@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20221124T140000
DTEND;TZID=Europe/Paris:20221124T140000
DTSTAMP:20260828T080332Z
URL:https://isdm.umontpellier.fr/events/species-distribution-models-an-ove
 rview-for-the-ml-community-and-a-case-study-on-the-orchid-family/
SUMMARY:Species Distribution Models: An overview for the ML community and a
  case study on the Orchid Family
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:303@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20221201T140000
DTEND;TZID=Europe/Paris:20221201T140000
DTSTAMP:20260828T080414Z
URL:https://isdm.umontpellier.fr/events/a-second-order-inertial-algorithm-
 for-non-smooth-non-convex-large-scale-optimization/
SUMMARY:A second-order inertial algorithm for non-smooth non-convex large-s
 cale optimization
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nSession led by the EPS seminar.\,\,
 \n\nMachine Learning in Montpellier\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:304@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20221208T140000
DTEND;TZID=Europe/Paris:20221208T140000
DTSTAMP:20260828T080449Z
URL:https://isdm.umontpellier.fr/events/robustness-for-models-and-algorith
 ms-in-machine-learning/
SUMMARY:Robustness for models and algorithms in Machine Learning.
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:305@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20230209T140000
DTEND;TZID=Europe/Paris:20230209T140000
DTSTAMP:20260828T080519Z
URL:https://isdm.umontpellier.fr/events/supervised-learning-by-crowdsourci
 ng/
SUMMARY:Supervised learning by crowdsourcing
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:306@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20230216T140000
DTEND;TZID=Europe/Paris:20230216T140000
DTSTAMP:20260828T080558Z
URL:https://isdm.umontpellier.fr/events/learning-from-crowds-going-beyond-
 aggregation-schemes/
SUMMARY:Learning from crowds: going beyond aggregation schemes
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:307@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20230223T140000
DTEND;TZID=Europe/Paris:20230223T140000
DTSTAMP:20260828T080634Z
URL:https://isdm.umontpellier.fr/events/crowd-sourcing-comparison-between-
 statistical-models-and-theoretical-guarantees/
SUMMARY:Crowd-sourcing: comparison between statistical models and theoretic
 al guarantees
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:308@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20230316T140000
DTEND;TZID=Europe/Paris:20230316T140000
DTSTAMP:20260828T080714Z
URL:https://isdm.umontpellier.fr/events/the-plant-game-crowdsourcing-thous
 ands-of-observations-with-thousands-of-labels/
SUMMARY:The Plant Game: crowdsourcing thousands of observations with thousa
 nds of labels
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:309@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20230323T140000
DTEND;TZID=Europe/Paris:20230323T140000
DTSTAMP:20260828T080750Z
URL:https://isdm.umontpellier.fr/events/pl-ntnet-under-the-hood/
SUMMARY:Pl@ntnet under the hood
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VEVENT
UID:310@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20230330T140000
DTEND;TZID=Europe/Paris:20230330T140000
DTSTAMP:20260828T080830Z
URL:https://isdm.umontpellier.fr/events/active-learning-from-crowds/
SUMMARY:Active learning from crowds
DESCRIPTION:Room 109\, Building 9\, St Eloi campus\n\nMachine Learning in M
 ontpellier\, Theory &amp\; Practice\n\nMachine Learning in Montpellier\, T
 heory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Eloi Campus\, Building 9\, Room 109\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Montpellier\, ;X-APPLE-RADI
 US=100;X-TITLE=Saint Eloi Campus\, Building 9\, Room 109:geo:0,0
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20201025T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20210328T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20211031T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20220327T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221030T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230326T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR