Séminaire SESAME du Professeur Preslav Nakov Nov 18 15 h 00 min Séminaire SESAME du Professeur Preslav Nakov
Personalizing Treatment with Causal Inference and Scalably Evaluating LLMs in Medicine Fév 3 17 h 00 min Personalizing Treatment with Causal Inference and Scalably Evaluating LLMs in Medicine
Using and contributing to the data.table package for efficient big data analysis Fév 13 16 h 00 min Using and contributing to the data.table package for efficient big data analysis
Rethinking Early Stopping: Refine, Then Calibrate Fév 17 16 h 00 min Rethinking Early Stopping: Refine, Then Calibrate
Doubly Robust and Efficient Calibration of Prediction Sets for Censored Time-to-Event Outcomes Fév 24 16 h 00 min Doubly Robust and Efficient Calibration of Prediction Sets for Censored Time-to-Event Outcomes
Predicting benefit from adjuvant therapy with corticosteroids in community-acquired pneumonia: a data-driven analysis of randomised trials Mar 3 0 h 00 min Predicting benefit from adjuvant therapy with corticosteroids in community-acquired pneumonia: a data-driven analysis of randomised trials
How Should We Construct Prediction Sets? Insights from Conformal Prediction Mar 6 15 h 30 min How Should We Construct Prediction Sets? Insights from Conformal Prediction
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space Mar 10 15 h 30 min Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space
Using and contributing to the data.table package for efficient big data analysis Mar 13 11 h 00 min Using and contributing to the data.table package for efficient big data analysis
Datalog Fact Explanation Using Group-SAT Solver Mar 24 10 h 00 min Datalog Fact Explanation Using Group-SAT Solver
Datalog Fact Explanation Using Group-SAT Solver Mar 24 10 h 00 min Datalog Fact Explanation Using Group-SAT Solver
Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts Mar 25 16 h 00 min Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
Explainable and Interpretable Learning: Making Sense on Complex Modeling Domains Mar 26 14 h 30 min Explainable and Interpretable Learning: Making Sense on Complex Modeling Domains
Optimal Classification under Performative Distribution Shift Avr 4 11 h 00 min Optimal Classification under Performative Distribution Shift
Épistémologie de l’apprentissage machine – pour un formalisme critique Avr 15 17 h 30 min Épistémologie de l’apprentissage machine – pour un formalisme critique
Séminaire SESAME : Propagation de propriétés entre entités contextuellement identiques Mai 5 10 h 00 min Séminaire SESAME : Propagation de propriétés entre entités contextuellement identiques
Unified Breakdown Analysis for Byzantine Robust Gossip Mai 16 11 h 00 min Unified Breakdown Analysis for Byzantine Robust Gossip
Vertical Federated Learning with Missing Features During Training and Inference Mai 27 16 h 00 min Vertical Federated Learning with Missing Features During Training and Inference
Soutenance de stage : de la théorie à la pratique Juin 27 14 h 00 min Soutenance de stage : de la théorie à la pratique
Machine Learning in Montpellier, Theory & Practice Juil 3 15 h 30 min Machine Learning in Montpellier, Theory & Practice
Leveraging Knowledge Graphs for Earth System Dataset Discovery Sep 8 10 h 00 min Leveraging Knowledge Graphs for Earth System Dataset Discovery
Les langages de programmation : comprendre une diversité Oct 7 9 h 00 min Les langages de programmation : comprendre une diversité
Ensuring Social Scientific Data Quality and Reproducibility in the Big Data/AI Era: Challenges and Pathways Oct 14 15 h 00 min Ensuring Social Scientific Data Quality and Reproducibility in the Big Data/AI Era: Challenges and Pathways
Learning from unlearning : how can we design ML systems that aremore trustworthy ? Oct 23 14 h 00 min Learning from unlearning : how can we design ML systems that aremore trustworthy ?
Seeing the forest and the trees: How hyperspatial drone imagery is revolutionizing tropical canopy studies (ecological focus) Nov 4 11 h 00 min Seeing the forest and the trees: How hyperspatial drone imagery is revolutionizing tropical canopy studies (ecological focus)
Deep Learning for Species Recognition under High Uncertainty: Application to jellyfish images Nov 13 14 h 00 min Deep Learning for Species Recognition under High Uncertainty: Application to jellyfish images
Secure Noise Sampling for Differentially Private Collaborative Learning Déc 8 16 h 00 min Secure Noise Sampling for Differentially Private Collaborative Learning
Création de graphes de connaissances géohistoriques à partir de sources de données anciennes hétérogènes et fragmentaires Déc 12 10 h 00 min Création de graphes de connaissances géohistoriques à partir de sources de données anciennes hétérogènes et fragmentaires
Ontologies as Catalysts in AI-Powered Convergence of Agriculture, Health and Wealth: Reality, Possibilities and Challenges Jan 8 10 h 00 min Ontologies as Catalysts in AI-Powered Convergence of Agriculture, Health and Wealth: Reality, Possibilities and Challenges
