NeurIPS

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling

Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia

Comments Accepted to NeurIPS 2024

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge

Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han

Comments NeurIPS 2024

Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model

Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li

Journal ref published in NeuriPS 2024

RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation

Peihua Mai, Ran Yan, Yan Pang

Comments accepted by NeurIPS 2024

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting

Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan Yuille

Comments NeurIPS 2024; The first 3D Gaussian Splatting-based method for HDR imaging

Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy

Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu

Comments 18 pages, 5 figures. NeurIPS 2024. Code will be released at: https://github.com/zhaisf/CLiD

Flatten Anything: Unsupervised Neural Surface Parameterization

Qijian Zhang, Junhui Hou, Wenping Wang, Ying He

Comments NeurIPS 2024

RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar

Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu, Yiming Li, Chris Xiaoxuan Lu

Comments 22 pages, 5 figures, 8 tables. Accepted by NeurIPS 2024 (Vancouver), the Thirty-Eighth Annual Conference on Neural Information Processing Systems

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee

Comments Published at NeurIPS 2024. Code: https://github.com/ChienFeng-hub/meow

Parallel Backpropagation for Shared-Feature Visualization

Alexander Lappe, Anna Bognár, Ghazaleh Ghamkhari Nejad, Albert Mukovskiy, Lucas Martini, Martin A. Giese, Rufin Vogels

Comments Replaced by camera-ready version for NeurIPS 2024. Fixed some typos and a small inaccuracy in the method decription

Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics

Hanlin Zhu, Baihe Huang, Shaolun Zhang, Michael Jordan, Jiantao Jiao, Yuandong Tian, Stuart Russell

Comments 41 pages, 18 figures, NeurIPS 2024

Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models

Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang

Comments NeurIPS 2024. Project page: https://mudi-t2i.github.io/

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization

Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu

Comments Accepted to NeurIPS 2024

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains

Lei Wang, Jieming Bian, Letian Zhang, Chen Chen, Jie Xu

Comments Accepted by NeurIPS 2024

Pruning neural network models for gene regulatory dynamics using data and domain knowledge

Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush

Comments Accepted to Conference on Neural Information Processing Systems (NeurIPS) 2024

Watermarking Makes Language Models Radioactive

Tom Sander, Pierre Fernandez, Alain Durmus, Matthijs Douze, Teddy Furon

Comments Published at NeurIPS 2024 (Spotlight). Code at https://github.com/facebookresearch/radioactive-watermark - webpage at https://pierrefdz.github.io/publications/radioactive/

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao

Comments NeurIPS 2024. Source codes are available at https://github.com/Wangjw6/LLMob/

Recurrent Reinforcement Learning with Memoroids

Steven Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob Foerster, Amanda Prorok

Comments Accepted to NeurIPS 2024

On Differentially Private Subspace Estimation in a Distribution-Free Setting

Eliad Tsfadia

Comments NeurIPS 2024

On $f$-Divergence Principled Domain Adaptation: An Improved Framework

Ziqiao Wang, Yongyi Mao

Comments Accepted at NeurIPS 2024

Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

Sonia Laguna, Ričards Marcinkevičs, Moritz Vandenhirtz, Julia E. Vogt

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Alignment for Honesty

Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, Pengfei Liu

Comments NeurIPS 2024

Optimal Algorithms for Online Convex Optimization with Adversarial Constraints

Abhishek Sinha, Rahul Vaze

Comments To appear in NeurIPS 2024 as a spotlight

Multi-Swap $k$-Means++

Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis

Comments NeurIPS 2023

Decoupled Kullback-Leibler Divergence Loss

Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang

Comments NeurIPS 2024

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models

Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho

Comments 10 pages, 13 figures

Journal ref The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

Spatial Shortcuts in Graph Neural Controlled Differential Equations

Michael Detzel, Gabriel Nobis, Jackie Ma, Wojciech Samek

Comments Accepted as a workshop paper at the NeurIPS 2024 workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers (D3S3)

Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models

Shenghao Fu, Junkai Yan, Qize Yang, Xihan Wei, Xiaohua Xie, Wei-Shi Zheng

Comments Accepted to NeurIPS 2024

Diffusion models for lattice gauge field simulations

Qianteng Zhu, Gert Aarts, Wei Wang, Kai Zhou, Lingxiao Wang

Comments 7 pages, 3 figures, accepted at the NeurIPS 2024 workshop "Machine Learning and the Physical Sciences"

Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series

Ilan Naiman, Nimrod Berman, Itai Pemper, Idan Arbiv, Gal Fadlon, Omri Azencot

Comments Accepted to NeurIPS 2024; The first two authors contributed equally