NeurIPS

DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis

Hamidreza Eivazi, André Hebenbrock, Raphael Ginster, Steffen Blömeke, Stefan Wittek, Christoph Herrmann, Thomas S. Spengler, Thomas Turek, Andreas Rausch

Comments 15 pages, 6 figures

Journal ref Foundation Models for Science Workshop, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning

Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari

Journal ref Conference on Neural Information Processing Systems (NeurIPS) 2024

Soft-Label Integration for Robust Toxicity Classification

Zelei Cheng, Xian Wu, Jiahao Yu, Shuo Han, Xin-Qiang Cai, Xinyu Xing

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

A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization

Chieh-Yun Chen, Chiang Tseng, Li-Wu Tsao, Hong-Han Shuai

Comments Accepted to NeurIPS 2024 (https://neurips.cc/virtual/2024/poster/94705)

Fairness-Aware Estimation of Graphical Models

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen

Comments Accepted for publication at NeurIPS 2024, 34 Pages, 9 Figures

Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification

Thomas Kwa, Drake Thomas, Adrià Garriga-Alonso

Comments Mechanistic Interpretability workshop at ICML 2024; Main conference poster at NeurIPS 2024

Attack-Aware Noise Calibration for Differential Privacy

Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Flavio du Pin Calmon, Carmela Troncoso

Comments Appears in NeurIPS 2024

Confidence Regulation Neurons in Language Models

Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda

Comments NeurIPS 2024

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

Xiaochen Ma, Xuekang Zhu, Lei Su, Bo Du, Zhuohang Jiang, Bingkui Tong, Zeyu Lei, Xinyu Yang, Chi-Man Pun, Jiancheng Lv, Jizhe Zhou

Comments Technical report, NeurIPS Spotlight of Benchmark and Dataset Track 2024

Loki: Low-rank Keys for Efficient Sparse Attention

Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele

Comments Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (Main Conference Track)

Toxicity Detection for Free

Zhanhao Hu, Julien Piet, Geng Zhao, Jiantao Jiao, David Wagner

Comments Accepted by Neurips 2024

Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer

Comments Accepted at NeurIPS 2024. 48 pages, 8 tables, 30 figures

Almost Surely Asymptotically Constant Graph Neural Networks

Sam Adam-Day, Michael Benedikt, İsmail İlkan Ceylan, Ben Finkelshtein

Comments NeurIPS '24 camera-ready version; 10 body pages, 29 appendix pages, 11 figures

Learnability of high-dimensional targets by two-parameter models and gradient flow

Dmitry Yarotsky

Comments Camera-ready NeurIPS 2024 version; some extra comments and figures

Multivariate Probabilistic Time Series Forecasting with Correlated Errors

Vincent Zhihao Zheng, Lijun Sun

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024). This paper extends the work presented in arXiv:2305.17028 to a multivariate setting

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Andy Zhou, Bo Li, Haohan Wang

Comments NeurIPS 2024 Spotlight; code available at https://github.com/lapisrocks/rpo

Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization

Nicola Bariletto, Nhat Ho

Journal ref Thirty-Eight Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

Towards Principled Graph Transformers

Luis Müller, Daniel Kusuma, Blai Bonet, Christopher Morris

Comments Accepted at NeurIPS 2024

Learning Human-like Representations to Enable Learning Human Values

Andrea Wynn, Ilia Sucholutsky, Thomas L. Griffiths

Comments NeurIPS 2024

Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs

Franziska Heeg, Ingo Scholtes

Comments Accepted at NeurIPS 2024

Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line

Eungyeup Kim, Mingjie Sun, Christina Baek, Aditi Raghunathan, J. Zico Kolter

Comments Published at NeurIPS 2024

Zero-One Laws of Graph Neural Networks

Sam Adam-Day, Theodor Mihai Iliant, İsmail İlkan Ceylan

Comments NeurIPS '23 camera-ready version; 10 pages + references + 10 pages appendices, 7 figures

Journal ref NeurIPS (2023). Article 3099. pp. 70733-70756

ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing

Jun-Kun Chen, Yu-Xiong Wang

Comments NeurIPS 2024. Project Page: https://immortalco.github.io/ProEdit/

HourVideo: 1-Hour Video-Language Understanding

Keshigeyan Chandrasegaran, Agrim Gupta, Lea M. Hadzic, Taran Kota, Jimming He, Cristóbal Eyzaguirre, Zane Durante, Manling Li, Jiajun Wu, Li Fei-Fei

Comments NeurIPS 2024 Datasets and Benchmarks Track; 28 pages

Which bits went where? Past and future transfer entropy decomposition with the information bottleneck

Kieran A. Murphy, Zhuowen Yin, Dani S. Bassett

Comments NeurIPS 2024 workshop "Machine learning and the physical sciences" Camera ready

AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation

Anil Kag, Huseyin Coskun, Jierun Chen, Junli Cao, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Jian Ren

Comments NeurIPS 2024. Project Page: https://snap-research.github.io/snap_image/

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A Miller, Danielle Bitterman, Guanhua Chen, Anoop Mayampurath, Matthew Churpek, Majid Afshar

Comments Accepted to GenAI4Health Workshop at NeurIPS 2024

MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views

Yuedong Chen, Chuanxia Zheng, Haofei Xu, Bohan Zhuang, Andrea Vedaldi, Tat-Jen Cham, Jianfei Cai

Comments NeurIPS 2024, Project page: https://donydchen.github.io/mvsplat360, Code: https://github.com/donydchen/mvsplat360

Topological obstruction to the training of shallow ReLU neural networks

Marco Nurisso, Pierrick Leroy, Francesco Vaccarino

Comments 23 pages, 5 figures, Conference on Neural Information Processing Systems (NeurIPS 2024)

Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking

Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo

Comments accepted by NeurIPS 2024 Track Datasets and Benchmarks