RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Modelsby Xinchen Zhang, Ling Yang, Yaqi Cai,…
Right on Time: Revising Time Series Models by Constraining their Explanationsby Maurice Kraus, David Steinmann,…
Learning Exceptional Subgroups by End-to-End Maximizing KL-divergenceby Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles…
Learning on manifolds without manifold learningby H. N. Mhaskar, Ryan O'DowdFirst submitted to arxiv on:…
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modelingby Guoqi…
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learningby Junyan Liu, Yunfan Li, Ruosong Wang, Lin…
Spurious Correlations in Machine Learning: A Surveyby Wenqian Ye, Guangtao Zheng, Xu Cao, Yunsheng Ma,…
An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learningby Rui Jiao, Xiangzhe Kong, Li…
Structural Knowledge Informed Continual Multivariate Time Series Forecastingby Zijie Pan, Yushan Jiang, Dongjin Song, Sahil…
Diffusion Posterior Sampling is Computationally Intractableby Shivam Gupta, Ajil Jalal, Aditya Parulekar, Eric Price, Zhiyang…