Papers
End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler
Denis Blessing, Xiaogang Jia, Gerhard Neumann
End-to-End Multilingual Automatic Dubbing via Duration-based Translation with Large Language Models
Hyun-Sik Won, DongJin Jeong, Hyunkyu Choi et al.
End-to-End Multi-Modal Diffusion Mamba
Chunhao Lu, Qiang Lu, Meichen Dong et al.
End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation
Zhiyuan Fan, Longfei Yun, Ming Yan et al.
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework
Yi Yu, Weizhen Han, Libing Wu et al.
E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes
Yan Liu, Zehao Chen, Haojie Yan et al.
E(n) Equivariant Topological Neural Networks
Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec et al.
EnerGIZAr: Leveraging GIZA++ for Effective Tokenizer Initialization
Pranaydeep Singh, Eneko Agirre, Gorka Azkune et al.
Energy-based Backdoor Defense Against Federated Graph Learning
Guancheng Wan, Zitong Shi, Wenke Huang et al.
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu, Tomas Geffner, Karsten Kreis et al.
Energy-Based Flow Matching for Generating 3D Molecular Structure
Wenyin Zhou, Christopher Iliffe Sprague, Vsevolod Viliuga et al.
Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model
Yuzhong Hong, Hanshan Zhang, Junwei Bao et al.
EnergyCompress: A General Case Base Learning Strategy
Fadi Badra, Esteban Marquer, Marie-Jeanne Lesot et al.
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari et al.
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata et al.
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models
Rui Jiang, Xinghe Fu, Guangcong Zheng et al.
EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space
Jianrong Zhang, Hehe Fan, Yi Yang
Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World
Chenyu Mu, Jiahua Li, Kun Wei et al.
Energy-Weighted Flow Matching for Offline Reinforcement Learning
Shiyuan Zhang, Weitong Zhang, Quanquan Gu
Enforcing Geometric Constraints of Surface Normal and Pose for Self-supervised Monocular Depth Estimation on Laparoscopic Images
Wenda Li, Yuichiro Hayashi, Masahiro Oda et al.
Enforcing Idempotency in Neural Networks
Nikolaj Banke Jensen, Jamie Vicary
Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
Alessandro Palma, Sergei Rybakov, Leon Hetzel et al.
Engage for All: Making Ordinary Image Descriptions Appealing Again!
Yuyan Chen, Yifan Jiang, Li Zhou et al.
Engagement-driven Persona Prompting for Rewriting News Tweets
Reshmi Gopalakrishna Pillai, Antske Fokkens, Wouter van Atteveldt
ENG-DRB: PDTB-style Discourse Relation Bank on Engineering Tutorial Video Scripts
Cheng Zhang, Rajasekhar Kakarla, Kangda Wei et al.