NeurIPS

Marginal Causal Flows for Validation and Inference

Daniel de Vassimon Manela, Laura Battaglia, Robin J. Evans

Comments 23 pages, 10 figures, Accepted as a Poster at NeurIPS 2024

NARAIM: Native Aspect Ratio Autoregressive Image Models

Daniel Gallo Fernández, Robert van der Klis, Răzvan-Andrei Matişan, Janusz Partyka, Efstratios Gavves, Samuele Papa, Phillip Lippe

Comments Accepted to NeurIPS, see https://openreview.net/forum?id=7Iuh8VWU66

DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach

Daniel Gallo Fernández, Răzvan-Andrei Matişan, Alejandro Monroy Muñoz, Ana-Maria Vasilcoiu, Janusz Partyka, Tin Hadži Veljković, Metod Jazbec

Comments Accepted to NeurIPS, see https://openreview.net/forum?id=G7E4tNmmHD

Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild

Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen

Comments 24 pages, 4 figures, accepted to NeurIPS 2024 Datasets and Benchmarks Track

HydraViT: Stacking Heads for a Scalable ViT

Janek Haberer, Ali Hojjat, Olaf Landsiedel

Comments Accepted at NeurIPS'24, please cite the conference version

Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data

Cherie Ho, Jiaye Zou, Omar Alama, Sai Mitheran Jagadesh Kumar, Benjamin Chiang, Taneesh Gupta, Chen Wang, Nikhil Keetha, Katia Sycara, Sebastian Scherer

Comments Accepted at the 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks. Website: https://mapitanywhere.github.io/

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu

Comments NeurIPS 2024

Linear Causal Representation Learning from Unknown Multi-node Interventions

Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Ali Tajer

Comments NeurIPS 2024 camera-ready version

Calibrating Reasoning in Language Models with Internal Consistency

Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li

Comments NeurIPS 2024 camera ready

SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation

Jonathan Roberts, Kai Han, Neil Houlsby, Samuel Albanie

Comments Accepted at NeurIPS 2024 (Datasets and Benchmarks Track)

DeiSAM: Segment Anything with Deictic Prompting

Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting

Comments Published as a conference paper at NeurIPS 2024

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models

Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong

Comments NeurIPS 2024

Large Pre-trained time series models for cross-domain Time series analysis tasks

Harshavardhan Kamarthi, B. Aditya Prakash

Comments Accepted at NeurIPS 2024. Code: https://github.com/AdityaLab/Samay

Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis

Qitao Zhao, Shubham Tulsiani

Comments NeurIPS 2024. Project website: https://qitaozhao.github.io/SparseAGS

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept

Sam A. Scivier, Tarje Nissen-Meyer, Paula Koelemeijer, Atılım Güneş Baydin

Comments 8 pages, 2 figures, accepted in the Machine Learning and the Physical Sciences Workshop at NeurIPS 2024

Towards Time Series Reasoning with LLMs

Winnie Chow, Lauren Gardiner, Haraldur T. Hallgrímsson, Maxwell A. Xu, Shirley You Ren

Comments Oral Presentation at 2024 NeurIPS Workshop on Time Series in the Age of Large Models

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Ziteng Wang, Rob Fergus, Yann LeCun, Saining Xie

Comments NeurIPS 2024 (Oral). Website at https://cambrian-mllm.github.io

Yo'LLaVA: Your Personalized Language and Vision Assistant

Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee

Comments NeurIPS 2024; Project page: https://thaoshibe.github.io/YoLLaVA

Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets

Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez

Comments Accepted at the ICML 2024 Workshop on Humans, Algorithmic Decision-Making and Society and published at NeurIPS 2024

Prediction-Powered Ranking of Large Language Models

Ivi Chatzi, Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez

Comments Published at NeurIPS 2024

DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning

Anthony Liang, Guy Tennenholtz, Chih-wei Hsu, Yinlam Chow, Erdem Bıyık, Craig Boutilier

Journal ref Neural Information Processing Systems (NeurIPS) 2024

Alignment at Pre-training! Towards Native Alignment for Arabic LLMs

Juhao Liang, Zhenyang Cai, Jianqing Zhu, Huang Huang, Kewei Zong, Bang An, Mosen Alharthi, Juncai He, Lian Zhang, Haizhou Li, Benyou Wang, Jinchao Xu

Comments Accepted to NeurIPS 2024 main conference. see https://github.com/FreedomIntelligence/AceGPT-v2

Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models

XiuYu Zhang, Zening Luo

Comments Accepted as a Poster at Statistical Foundations of LLMs and Foundation Models (NeurIPS 2024 Workshop)

Harnessing Loss Decomposition for Long-Horizon Wave Predictions via Deep Neural Networks

Indu Kant Deo, Rajeev Jaiman

Comments 6 pages, 4 figures, NeurIPS Machine Learning for Physical Sciences workshop

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects

Abdurrahman Zeybey, Mehmet Ergezer, Tommy Nguyen

Comments Accepted to Safe Generative AI Workshop @ NeurIPS 2024: https://neurips.cc/virtual/2024/workshop/84705

Journal ref Safe Generative AI Workshop @ NeurIPS 2024

Harnessing Multiple Correlated Networks for Exact Community Recovery

Miklós Z. Rácz, Jifan Zhang

Comments 53 pages, 4 figures. To appear in Advances in Neural Information Processing Systems (NeurIPS) 2024

emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation

Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr, Shangchen Han, Rohin Bhasin, Yujun Cai, Peter Walkington, Anuoluwapo Bolarinwa, Robert Wang, Nathan Danielson, Josh Merel, Eftychios Pnevmatikakis, Jesse Marshall

Comments Published at NeurIPS 2024 Datasets and Benchmarks Track

DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America

Daniel Seal, Rossella Arcucci, Salva Rühling-Cachay, César Quilodrán-Casas

Comments Accepted in the Machine Learning for Physical Sciences workshop @ NeurIPS 2024

AI Meets Antimatter: Unveiling Antihydrogen Annihilations

Ashley Ferreira, Mahip Singh, Andrea Capra, Ina Carli, Daniel Duque Quiceno, Wojciech T. Fedorko, Makoto M. Fujiwara, Muyan Li, Lars Martin, Yukiya Saito, Gareth Smith, Anqi Xu

Comments 6 pages, 4 figures, submitted to Machine Learning and the Physical Sciences Workshop at the 38th conference on Neural Information Processing Systems (NeurIPS)

GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes

Gaochao Song, Chong Cheng, Hao Wang

Comments NeurIPS 2024