Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

18 Results

<<   <   Page 1 of 2   >   >>
Poster
Tue 17:00 Active Learning based Structural Inference
Aoran Wang · Jun Pang
Workshop
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation Based Inference
Vincent Zaballa · Elliot Hui
Poster
Tue 17:00 Compositional Score Modeling for Simulation-Based Inference
Tomas Geffner · George Papamakarios · Andriy Mnih
Workshop
Semantic Conditioning at Inference : Improving Neural-based Systems with Logical Background Knowledge
Arthur Ledaguenel · Céline Hudelot · Mostepha Khouadjia
Workshop
Model-based Policy Optimization under Approximate Bayesian Inference
Chaoqi Wang · Yuxin Chen · Kevin Murphy
Workshop
Sat 14:30 Flow Matching for Scalable Simulation-Based Inference
Jonas Wildberger · Maximilian Dax · Simon Buchholz · Stephen R. Green · Jakob Macke · Bernhard Schölkopf
Poster
Thu 13:30 Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Louis Sharrock · Chris Nemeth
Poster
Wed 17:00 Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos · Adam Coogan · Yashar Hezaveh · Laurence Perreault-Levasseur
Workshop
Flow Matching for Scalable Simulation-Based Inference
Jonas Wildberger · Maximilian Dax · Simon Buchholz · Stephen R. Green · Jakob Macke · Bernhard Schölkopf
Workshop
Simulation-based Inference with the Generalized Kullback-Leibler Divergence
Benjamin Kurt Miller · Marco Federici · Christoph Weniger · Patrick Forré
Workshop
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery
Yashas Annadani · Nick Pawlowski · Joel Jennings · Stefan Bauer · Cheng Zhang · Wenbo Gong
Workshop
SimBIG: Field-level Simulation-based Inference of Large-scale Structure
Pablo Lemos · Liam Parker · ChangHoon Hahn · Bruno Régaldo-Saint Blancard · Elena Massara · Shirley Ho · David Spergel · Chirag Modi · Azadeh Moradinezhad Dizgah · Michael Eickenberg · Jiamin Hou