Feb. 13: Alexander Reisach (Paris Cité), The Case for Time in Causal DAGs
Jan. 30: Yuri Maximov (Los Alamos National Laboratory), AI for Natural Disaster Prediction: A Step-by-Step Guide
Jan. 16: Nataliya Sokolovska (Université Sorbonne), The role of instrumental variables in causal inference
2024
Defenses
Dec. 19:🎓 PhD defense of Amine Awada, Co-definition of Activities in an Intelligent Environment: Aligning Human-System Perception
Dec. 18:🎓 PhD defense of Anna Laskina, Clustering Comparable Corpora: From Dataset Creation to Deep Learning Models and their Evaluation
Dec. 17:🎓 PhD defense of Johannes Sandberg, Atomic Scale Simulations for Liquid Metals and Alloys: Machine Learning Potentials and Feature Selection
Dec. 10:🎓 HDR defense of Emilie Devijver, Statistical learning for structured data in high-dimension
Dec. 4:🎓 PhD defense of Fateh Boulmaoz, Interactive and Engaging Recommendation Systems Based on a Revisited Case-Based Reasoning: Application to Energy Efficiency in Buildings
Nov. 29:🎓 PhD defense of Alexandre Audibert, Multi-target learning for predictive justice
Nov. 28:🎓 PhD defense of Aurélien Gauffre, Contrastive techniques for enhanced Representation Learning
Nov. 8:🎓 PhD defense of Nicolas Monge, Development of a machine learning methodology for nanoparticle classification from Small-Angle X-ray Scattering (SAXS) data
Oct. 2:🎓 PhD defense of Lei Zan, Causal discovery from heterogeneous time series with application to IT monitoring data
Sep. 18:🎓 PhD defense of Ashna Jose, Active Learning approaches to Discover Spin-Crossover Metal Organic Frameworks for Carbon Capture
Seminars
Nov. 14: Lucas de Lara (Université Lorraine), Transport-based counterfactual models
Oct. 15: Adèle Ribeiro (University of Münster), Recent Advances in Causal Inference under Limited Domain Knowledge
Oct. 3: Vincent Cohen (Google), Sensitivity Sampling for Coreset-Based Data Selection
