Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier mapsby Ricardo Baptista,…
Variational Bayes Decomposition for Inverse Estimation with Superimposed Multispectral Intensityby Akinori Asahara, Yoshihiro Osakabe, Yamamoto…
Inverse Transition Learning: Learning Dynamics from Demonstrationsby Leo Benac, Abhishek Sharma, Sonali Parbhoo, Finale Doshi-VelezFirst…
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify…
Fairness with Exponential Weightsby Stephen Pasteris, Chris Hicks, Vasilios MavroudisFirst submitted to arxiv on: 6…
Compositional simulation-based inference for time seriesby Manuel Gloeckler, Shoji Toyota, Kenji Fukumizu, Jakob H. MackeFirst…
Interacting Large Language Model Agents. Interpretable Models and Social Learningby Adit Jain, Vikram KrishnamurthyFirst submitted…
Constrained Sampling with Primal-Dual Langevin Monte Carloby Luiz F. O. Chamon, Mohammad Reza Karimi, Anna…
Active Preference-based Learning for Multi-dimensional Personalizationby Minhyeon Oh, Seungjoon Lee, Jungseul OkFirst submitted to arxiv…
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptionsby Rui Yang, Jie…