Papers
Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
Zhiyuan Min, Yawei Luo, Jianwen Sun et al.
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
Dongsu Lee, Minhae Kwon
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
Jiwoong Park, Yang Shen
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
Equivariant Neural Diffusion for Molecule Generation
François Cornet, Grigory Bartosh, Mikkel N. Schmidt et al.
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
Axel Elaldi, Guido Gerig, Neel Dey
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
Peng Li, Yuan Liu, Xiaoxiao Long et al.
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
Anh Bui, Long Vuong, Khanh Doan et al.
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
Jio Oh, Soyeon Kim, Junseok Seo et al.
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
Anlan Yu, Shusen Jing, Ning Lyu et al.
ESPACE: Dimensionality Reduction of Activations for Model Compression
Charbel Sakr, Brucek Khailany
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data
Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva et al.
Estimating Epistemic and Aleatoric Uncertainty with a Single Model
Matthew A. Chan, Maria J. Molina, Christopher A. Metzler
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
Kai Tan, Pierre C. Bellec
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Miruna Oprescu, Nathan Kallus
Estimating the Hallucination Rate of Generative AI
Andrew Jesson, Nicolas Beltran-Velez, Quentin Chu et al.
E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding
Ye Liu, Zongyang Ma, Zhongang Qi et al.
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
Majdi Hassan, Nikhil Shenoy, Jungyoon Lee et al.
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
Junjie Ni, Guofeng Zhang, Guanglin Li et al.
Euclidean distance compression via deep random features
Brett Leroux, Luis Rademacher
Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering
Fangdi Wang, Jiaqi Jin, Jingtao Hu et al.
Evaluating alignment between humans and neural network representations in image-based learning tasks
Can Demircan, Tankred Saanum, Leonardo Pettini et al.
Evaluating Copyright Takedown Methods for Language Models
Boyi Wei, Weijia Shi, Yangsibo Huang et al.
Evaluating language models as risk scores
André F. Cruz, Moritz Hardt, Celestine Mendler-Dünner