Formal & Physical Sciences AI — Models & ResearchENAram Ebtekar and Danica Sutherland: Understanding Generalization Requires Universal InductionAram Ebtekar and Danica SutherlandSeptember 30, 2026 74 min★ ★ ★ ★ ☆ 4/5Machine LearningGeneralizationSolomonoff Induction
Formal & Physical Sciences AI — Models & ResearchENAlex Damian - Understanding Optimization in Deep Learning with Central FlowsAlex DamianJuly 15, 2026 55 min★ ★ ★ ★ ☆ 4/5OptimizationDeep LearningCentral Flows
Formal & Physical Sciences AI — Models & ResearchENMinshuo Chen - Unlocking Adaptive Generative Decision-Making with Diffusion ModelsMinshuo ChenJuly 4, 2026 56 min★ ★ ★ ★ ☆ 4/5Diffusion ModelsReinforcement LearningDecision-Making
Formal & Physical Sciences MathematicsENTizian Wenzel: On the optimal shape parameter for kernel methods and beyondTizian WenzelJune 3, 2026 38 min★ ★ ★ ★ ☆ 4/5Kernel MethodsRadial Basis FunctionsShape Parameter
Formal & Physical Sciences AI — Models & ResearchENNicolas Boffi - Flow map language modelsNicolas BoffiMay 26, 2026 56 min★ ★ ★ ★ ☆ 4/5Flow MatchingLanguage ModelsDiscrete Diffusion
Formal & Physical Sciences MathematicsENXiong Wang: Statistical learning problems in interacting particle systemsXiong WangApril 8, 2026 60 min★ ★ ★ ★ ☆ 4/5Interacting Particle SystemsStatistical LearningMinimax Rates
Formal & Physical Sciences AI — Models & ResearchENGiulio Biroli - Why Diffusion Models Don't MemorizeGiulio BiroliMarch 27, 2026 56 min★ ★ ★ ★ ☆ 4/5Diffusion ModelsMemorizationGeneralization
Formal & Physical Sciences AI — Models & ResearchENPierre-Alexandre Mattei - Ensembles in machine learning: (simple) theory and (simple) practicePierre-Alexandre MatteiMarch 15, 2026 58 min★ ★ ★ ★ ☆ 4/5Ensemble MethodsMachine LearningConvexity
Formal & Physical Sciences AI — Models & ResearchENYingzhen Li - Variational Uncertainty Decomposition for In-Context LearningYingzhen LiMarch 1, 2026 58 min★ ★ ★ ★ ☆ 4/5Uncertainty DecompositionIn-Context LearningBayesian Inference
Formal & Physical Sciences AI — Models & ResearchENQing Qu - Understanding Generalization of Deep Generative Models based on Low-dimensional StructuresQing QuFebruary 1, 2026 63 min★ ★ ★ ★ ☆ 4/5Diffusion ModelsGeneralizationLow-Dimensional Structure
Formal & Physical Sciences MathematicsENAndrew Ilersich - Learning Stochastic Multiscale Models of Spatiotemporal SystemsAndrew IlersichJanuary 18, 2026 56 min★ ★ ★ ★ ☆ 4/5Stochastic Differential EquationsMultiscale ModelingVariational Inference
