NeurIPS

TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene

Sandika Biswas, Qianyi Wu, Biplab Banerjee, Hamid Rezatofighi

Comments Accepted in NeurIPS 2024 https://github.com/sbsws88/TFS-NeRF

Phased Consistency Models

Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Xiaogang Wang, Hongsheng Li

Comments NeurIPS 2024

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer

Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose Blanchet, Zhaoran Wang

Comments Accepted by The Thirty-Eighth Annual Conference on Neural Information Processing Systems. 31 pages, 7 figures

Efficient Graph Matching for Correlated Stochastic Block Models

Shuwen Chai, Miklós Z. Rácz

Comments 73 pages, 8 figures; To appear in Advances in Neural Information Processing Systems (NeurIPS) 2024

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data

The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly, Brian Cherinka, Ioana Ciucă, Miles Cranmer, Aaron Do, Matthew Grayling, Erin E. Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik G. Iyer, Maja Jablonska, Francois Lanusse, Henry W. Leung, Kaisey Mandel, Juan Rafael Martínez-Galarza, Peter Melchior, Lucas Meyer, Liam H. Parker, Helen Qu, Jeff Shen, Michael J. Smith, Connor Stone, Mike Walmsley, John F. Wu

Comments Accepted at NeurIPS Datasets and Benchmarks track

LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data

Hanyu Zhang, Chuck Arvin, Dmitry Efimov, Michael W. Mahoney, Dominique Perrault-Joncas, Shankar Ramasubramanian, Andrew Gordon Wilson, Malcolm Wolff

Comments Presented at NeurIPS Time Series in the Age of Large Models (2024)

Efficient Model Compression Techniques with FishLeg

Jamie McGowan, Wei Sheng Lai, Weibin Chen, Henry Aldridge, Jools Clarke, Jezabel Garcia, Rui Xia, Yilei Liang, Guillaume Hennequin, Alberto Bernacchia

Comments Published in NeurIPS 2024 - Neural Compression Workshop, 13 pages, 6 figures

Composing Open-domain Vision with RAG for Ocean Monitoring and Conservation

Sepand Dyanatkar, Angran Li, Alexander Dungate

Comments Accepted to Climate Change AI Workshop at NeurIPS 2024. 9 pages, 6 figures, 1 table

Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach

Tony T. Wang, John Hughes, Henry Sleight, Rylan Schaeffer, Rajashree Agrawal, Fazl Barez, Mrinank Sharma, Jesse Mu, Nir Shavit, Ethan Perez

Comments Accepted to the AdvML-Frontiers and SoLaR workshops at NeurIPS 2024

Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation

Trenton Chang, Lindsay Warrenburg, Sae-Hwan Park, Ravi B. Parikh, Maggie Makar, Jenna Wiens

Comments 38 pages, 31 figures. NeurIPS 2024

Towards Universal Mesh Movement Networks

Mingrui Zhang, Chunyang Wang, Stephan Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott

Comments Accepted at NeurIPS 2024 as a spotlight paper

Interventional Causal Discovery in a Mixture of DAGs

Burak Varıcı, Dmitriy Katz-Rogozhnikov, Dennis Wei, Prasanna Sattigeri, Ali Tajer

Comments NeurIPS 2024 camera-ready version

Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control

Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Miłoś, Marek Cygan

Comments NeurIPS 2024 Spotlight

The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew Bean, Katerina Margatina, Juan Ciro, Rafael Mosquera, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale

Journal ref The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2024)

A Generative Model of Symmetry Transformations

James Urquhart Allingham, Bruno Kacper Mlodozeniec, Shreyas Padhy, Javier Antorán, David Krueger, Richard E. Turner, Eric Nalisnick, José Miguel Hernández-Lobato

Comments Accepted at NeurIPS 2024

CultureLLM: Incorporating Cultural Differences into Large Language Models

Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, Xing Xie

Comments NeurIPS 2024; Code is at https://github.com/Scarelette/CultureLLM

Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation

Lingxiao Zhao, Xueying Ding, Leman Akoglu

Comments Diffusion Model on Graphs

Journal ref NeurIPS 2024

Learning to Predict Structural Vibrations

Jan van Delden, Julius Schultz, Christopher Blech, Sabine C. Langer, Timo Lüddecke

Comments Accepted at Neurips 2024

Geometry-aware PINNs for Turbulent Flow Prediction

Shinjan Ghosh, Julian Busch, Georgia Olympia Brikis, Biswadip Dey

Comments Machine Learning and the Physical Sciences (ML4PS) Workshop at NeurIPS'2024

A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts

Alexandra Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Nicholas Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna Wallach

Comments NeurIPS 2024 Workshop on Statistical Foundations of LLMs and Foundation Models (SFLLM)

Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack

Xiaoyue Xu, Qinyuan Ye, Xiang Ren

Comments NeurIPS 2024 (Datasets and Benchmarks Track). Code: https://github.com/INK-USC/Lifelong-ICL Website: https://inklab.usc.edu/lifelong-icl/

CRAYM: Neural Field Optimization via Camera RAY Matching

Liqiang Lin, Wenpeng Wu, Chi-Wing Fu, Hao Zhang, Hui Huang

Comments Published in NeurIPS 2024

My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset

Jennifer Ding, Eva Jäger, Victoria Ivanova, Mercedes Bunz

Comments Presented at the NeurIPS 2024 Workshop on Creativity & Generative AI

Learning Structured Representations with Hyperbolic Embeddings

Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao

Comments Published as a conference paper at NeurIPS '24, first two authors contributed equally to the work. 40 pages, 23 figures

Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces

Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew B. Duncan

Comments To appear in the proceedings of NeurIPS 2024

Optimal Algorithms for Augmented Testing of Discrete Distributions

Maryam Aliakbarpour, Piotr Indyk, Ronitt Rubinfeld, Sandeep Silwal

Comments To appear in NeurIPS 24

Linear Probe Penalties Reduce LLM Sycophancy

Henry Papadatos, Rachel Freedman

Comments 20 pages, 15 figures, NeurIPS 2024 Workshop Socially Responsible Language Modelling Research (SoLaR)

A Deep Generative Model for the Design of Synthesizable Ionizable Lipids

Yuxuan Ou, Jingyi Zhao, Austin Tripp, Morteza Rasoulianboroujeni, José Miguel Hernández-Lobato

Comments NeurIPS 2024 Workshop on AI for New Drug Modalities

Quantifying perturbation impacts for large language models

Paulius Rauba, Qiyao Wei, Mihaela van der Schaar

Comments Statistical Foundations of LLMs and Foundation Models Workshop at NeurIPS 2024

Learning to Forget using Hypernetworks

Jose Miguel Lara Rangel, Stefan Schoepf, Jack Foster, David Krueger, Usman Anwar

Comments AdvML-Frontiers'24: The 3rd Workshop on New Frontiers in Adversarial Machine Learning@NeurIPS'24, Vancouver, CA