Papers
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
Xin Liu, Zheng Li, Yifan Gao et al.
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
YUAN JIANG, Zhiguang Cao, Yaoxin Wu et al.
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin, Alexander Kolesov, Alexander Korotin et al.
Entropy-based Training Methods for Scalable Neural Implicit Samplers
Weijian Luo, Boya Zhang, Zhihua Zhang
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs
Zebang Shen, Zhenfu Wang
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
Haonan Yuan, Qingyun Sun, Xingcheng Fu et al.
EPIC Fields: Marrying 3D Geometry and Video Understanding
Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu et al.
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
Martijn De Vos, Sadegh Farhadkhani, Rachid Guerraoui et al.
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Jiayi Shen, Xiantong Zhen, Qi Wang et al.
Epistemic Neural Networks
Ian Osband, Zheng Wen, Seyed Mohammad Asghari et al.
Equal Opportunity of Coverage in Fair Regression
Fangxin Wang, Lu Cheng, Ruocheng Guo et al.
Equivariant Adaptation of Large Pretrained Models
Arnab Kumar Mondal, Siba Smarak Panigrahi, Oumar Kaba et al.
Equivariant flow matching
Leon Klein, Andreas Krämer, Frank Noe
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
Yuxuan Song, Jingjing Gong, Minkai Xu et al.
Equivariant Neural Operator Learning with Graphon Convolution
Chaoran Cheng, Jian Peng
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Koen Minartz, Yoeri Poels, Simon Koop et al.
Equivariant Single View Pose Prediction Via Induced and Restriction Representations
Owen Howell, David Klee, Ondrej Biza et al.
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
Liming Wu, Zhichao Hou, Jirui Yuan et al.
Error Bounds for Learning with Vector-Valued Random Features
Samuel Lanthaler, Nicholas H. Nelsen
Error Discovery By Clustering Influence Embeddings
Fulton Wang, Julius Adebayo, Sarah Tan et al.
Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation
Dogyoon Song, Kyunghee Han
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
Qiyao Huang, Yingyue Zhang, Zhihong Zhang et al.
Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations
Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu et al.
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors
Beepul Bharti, Paul Yi, Jeremias Sulam
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments
Yonghan Jung, Ivan Diaz, Jin Tian et al.