Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous controlby Michal Nauman, Mateusz Ostaszewski, Krzysztof…
A Declarative Query Language for Scientific Machine Learningby Hasan M JamilFirst submitted to arxiv on:…
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series…
Transductive Confidence Machine and its application to Medical Data Setsby David LindsayFirst submitted to arxiv…
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexityby Haoxuan Chen, Yinuo Ren,…
Verified Safe Reinforcement Learning for Neural Network Dynamic Modelsby Junlin Wu, Huan Zhang, Yevgeniy VorobeychikFirst…
Data Complexity Estimates for Operator Learningby Nikola B. Kovachki, Samuel Lanthaler, Hrushikesh MhaskarFirst submitted to…
Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledgeby Miao Zhang, Ziming Wang,…
Does SGD really happen in tiny subspaces?by Minhak Song, Kwangjun Ahn, Chulhee YunFirst submitted to…
Pessimistic Backward Policy for GFlowNetsby Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo AhnFirst…