NeurIPS

Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound

Reuben Adams, John Shawe-Taylor, Benjamin Guedj

Comments 28 pages

Journal ref NeurIPS 2024

Physics-informed reduced order model with conditional neural fields

Minji Kim, Tianshu Wen, Kookjin Lee, Youngsoo Choi

Comments 7 pages, 2 figures, NeurIPS 2024 Workshop on Machine Learning and the Physical Sciences

One-shot Federated Learning via Synthetic Distiller-Distillate Communication

Junyuan Zhang, Songhua Liu, Xinchao Wang

Comments Accepted by NeurIPS 2024

Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection

Chaoda Zheng, Feng Wang, Naiyan Wang, Shuguang Cui, Zhen Li

Comments NeurIPS 2024

ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration

Chi-Wei Hsiao, Yu-Lun Liu, Cheng-Kun Yang, Sheng-Po Kuo, Kevin Jou, Chia-Ping Chen

Comments NeurIPS 2024, project page https://chiweihsiao.github.io/refldm.github.io/

Neuro-Symbolic Data Generation for Math Reasoning

Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma

Comments Published as a conference paper at NeurIPS 2024

Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency

Zenan Li, Yifan Wu, Zhaoyu Li, Xinming Wei, Xian Zhang, Fan Yang, Xiaoxing Ma

Comments Published as a conference paper at NeurIPS 2024. Code is available at https://github.com/Miracle-Messi/Isa-AutoFormal

Dreaming Learning

Alessandro Londei, Matteo Benati, Denise Lanzieri, Vittorio Loreto

Comments Accepted at the NeurIPS 2024 workshop on Intrinsically Motivated Open-ended Learning

DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models

Rajat Rawat, Hudson McBride, Dhiyaan Nirmal, Rajarshi Ghosh, Jong Moon, Dhruv Alamuri, Sean O'Brien, Kevin Zhu

Comments Published in NLP4PI @ EMNLP 2024, Accepted to AIM-FM @ NeurIPS 2024

A Practitioner's Guide to Continual Multimodal Pretraining

Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier Hénaff, Samuel Albanie, Matthias Bethge, Zeynep Akata

Comments Technical Report. 52 pages. Shorter version published at the NeurIPS 2024 Dataset & Benchmarks track

Generative Modelling of Structurally Constrained Graphs

Manuel Madeira, Clement Vignac, Dorina Thanou, Pascal Frossard

Comments NeurIPS 2024

Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers

Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Avinava Dubey, Tamas Sarlos, Snigdha Chaturvedi

Comments NeurIPS 2024

Understanding Multi-Granularity for Open-Vocabulary Part Segmentation

Jiho Choi, Seonho Lee, Seungho Lee, Minhyun Lee, Hyunjung Shim

Comments NeurIPS 2024

Slicing Vision Transformer for Flexible Inference

Yitian Zhang, Huseyin Coskun, Xu Ma, Huan Wang, Ke Ma, Xi, Chen, Derek Hao Hu, Yun Fu

Comments Accepted by NeurIPS 2024

Measuring Goal-Directedness

Matt MacDermott, James Fox, Francesco Belardinelli, Tom Everitt

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

Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions

Ian Lu, Hao Jia, Sebastian Gonzalez, Deniz Sogutlu, J. Quetzalcoatl Toledo-Marin, Sehmimul Hoque, Abhishek Abhishek, Colin Gay, Roger Melko, Eric Paquet, Geoffrey Fox, Maximilian Swiatlowski, Wojciech Fedorko

Comments Neurips ML4PS 2024. 5 Figs, 8 pp

Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing

Indu Kant Deo, Youngsoo Choi, Saad A. Khairallah, Alexandre Reikher, Maria Strantza

Comments 7 pages, 4 figures, NeurIPS Machine Learning for Physical Sciences workshop

Local Curvature Smoothing with Stein's Identity for Efficient Score Matching

Genki Osada, Makoto Shing, Takashi Nishide

Comments Accepted at NeurIPS 2024

Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads

Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin Smith, Joshua B. Tenenbaum

Comments Accepted at NeurIPS 2024 (Datasets and Benchmarks Track)

Robustness of Practical Perceptual Hashing Algorithms to Hash-Evasion and Hash-Inversion Attacks

Jordan Madden, Moxanki Bhavsar, Lhamo Dorje, Xiaohua Li

Comments Published in the Third Workshop on New Frontiers in Adversarial Machine Learning at NeurIPS 2024

Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning

Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho

Comments Accepted to NeurIPS 2024. Code available at https://github.com/divyam3897/I2M2

EM Distillation for One-step Diffusion Models

Sirui Xie, Zhisheng Xiao, Diederik P Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao

Comments NeurIPS 2024

Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent

Yiwen Kou, Zixiang Chen, Quanquan Gu, Sham M. Kakade

Comments 37 pages, 7 figures, 3 tables. In NeurIPS 2024

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu

Comments 36 pages, 5 figures, 13 tables. In NeurIPS 2024

QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos

Sharath Girish, Tianye Li, Amrita Mazumdar, Abhinav Shrivastava, David Luebke, Shalini De Mello

Comments Accepted at NeurIPS 2024, Project website: https://research.nvidia.com/labs/amri/projects/queen

User-item fairness tradeoffs in recommendations

Sophie Greenwood, Sudalakshmee Chiniah, Nikhil Garg

Comments Accepted at the Thirty-Eighth Annual Conference on Neural Information Processing Systems

CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing

Yen-Ju Lu, Jing Liu, Thomas Thebaud, Laureano Moro-Velazquez, Ariya Rastrow, Najim Dehak, Jesus Villalba

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

ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation

Dayoung Gong, Suha Kwak, Minsu Cho

Comments Accepted to NeurIPS 2024

Graph Neural Networks Need Cluster-Normalize-Activate Modules

Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra Singh Dhami, Kristian Kersting

Comments 17 pages, 6 figures, 6 tables, accepted at NeurIPS 2024

SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs

Ruben Härle, Felix Friedrich, Manuel Brack, Björn Deiseroth, Patrick Schramowski, Kristian Kersting

Comments Accepted at Socially Responsible Language Modelling Research (SoLaR) Workshop at NeurIPS 2024