Papers
UniRestore3D: A Scalable Framework For General Shape Restoration
Yuang Wang, Yujian Zhang, Sida Peng et al.
Learning Mask Invariant Mutual Information for Masked Image Modeling
Tao Huang, Yanxiang Ma, Shan You et al.
Uncertainty modeling for fine-tuned implicit functions
Anna Susmelj, Mael Macuglia, Natasa Tagasovska et al.
Block-Attention for Efficient Prefilling
Dongyang Ma, Yan Wang, Tian Lan
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li, Jiachun Pan, Vincent Y. F. Tan et al.
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Mark Liao
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
Xinhao Zhong, Bin Chen, Hao Fang et al.
PABBO: Preferential Amortized Black-Box Optimization
Xinyu Zhang, Daolang Huang, Samuel Kaski et al.
PRDP: Progressively Refined Differentiable Physics
Kanishk Bhatia, Felix Koehler, Nils Thuerey
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise
Yunlong Yuan, Yuanfan Guo, Chunwei Wang et al.
HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
YOUHE JIANG, Ran Yan, Binhang Yuan
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
Rui Dai, Sile Hu, Xu Shen et al.
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
Shahaf Bassan, Ron Eliav, Shlomit Gur
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
Chenyang Zhu, Kai Li, Yue Ma et al.
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation
Yangtao Chen, Zixuan Chen, Junhui Yin et al.
PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows
Huaguan Chen, Yang Liu, Hao Sun
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Patrick Seifner, Kostadin Cvejoski, Antonia Körner et al.
Variational Diffusion Posterior Sampling with Midpoint Guidance
Badr MOUFAD, Yazid Janati, Lisa Bedin et al.
Grounding Multimodal Large Language Model in GUI World
Weixian Lei, Difei Gao, Mike Zheng Shou
Training One-Dimensional Graph Neural Networks is NP-Hard
Robert Ganian, Mathis Rocton, Simon Wietheger
Attention layers provably solve single-location regression
Pierre Marion, Raphaël Berthier, Gérard Biau et al.
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Julius Aka, Johannes Brunnemann, Jörg Eiden et al.
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
Théophane Vallaeys, Matthew J. Muckley, Jakob Verbeek et al.
Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
Boyu Liu, Haoyu Huang, Linlin Yang et al.
Learning the Complexity of Weakly Noisy Quantum States
Yusen Wu, Bujiao Wu, Yanqi Song et al.