Leveraging Knowlegde Graphs for Interpretable Feature Generationby Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad OuziriFirst…
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Modelsby Ella Tamir, Arno SolinFirst submitted…
Optimistic Rates for Learning from Label Proportionsby Gene Li, Lin Chen, Adel Javanmard, Vahab MirrokniFirst…
Contrastive Learning Via Equivariant Representationby Sifan Song, Jinfeng Wang, Qiaochu Zhao, Xiang Li, Dufan Wu,…
Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learningby Shengyu Tao,…
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Frameworkby Parsa Moradi, Behrooz Tahmasebi, Mohammad Ali…
FedAST: Federated Asynchronous Simultaneous Trainingby Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri JoshiFirst submitted to…
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learningby Fahimeh Fakour,…
Learning Causal Abstractions of Linear Structural Causal Modelsby Riccardo Massidda, Sara Magliacane, Davide BacciuFirst submitted…
Scalable Bayesian Learning with posteriorsby Samuel Duffield, Kaelan Donatella, Johnathan Chiu, Phoebe Klett, Daniel SimpsonFirst…