NeurIPS

3D-PDR Orion dataset and NeuralPDR: Neural Differential Equations for Photodissociation Regions

Gijs Vermariën, Serena Viti, Rahul Ravichandran, Thomas G. Bisbas

Comments Accepted to NeurIPS Machine Learning and the Physical Sciences Workshop 2024

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective

Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

Journal ref NeurIPS 2024

A Machine Learning Approach to Contact Localization in Variable Density Three-Dimensional Tactile Artificial Skin

Carson Kohlbrenner, Mitchell Murray, Yutong Zhang, Caleb Escobedo, Thomas Dunnington, Nolan Stevenson, Nikolaus Correll, Alessandro Roncone

Comments Accepted at NeurIPS 2024 Workshop on Touch Processing: From Data to Knowledge

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture

Mohamad Haj Fares, Ahmed Mohamed Saad Emam Saad

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

MIMIC: Multimodal Islamophobic Meme Identification and Classification

S M Jishanul Islam, Sahid Hossain Mustakim, Sadia Ahmmed, Md. Faiyaz Abdullah Sayeedi, Swapnil Khandoker, Syed Tasdid Azam Dhrubo, Nahid Hossain

Comments Accepted (Poster) - NeurIPS 2024 Workshop MusIML

RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification

Daniel Kyselica, Marek Šuppa, Jiří Šilha, Roman Ďurikovič

Comments 6 pages, 1 figure, 5 tables, Accepted on Machine Learning and the Physical Sciences Workshop, NeurIPS 2024

Scalable nonlinear manifold reduced order model for dynamical systems

Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung, Marco Panesi, Youngsoo Choi

Comments To be included in the proceedings of the Machine Learning and the Physical Sciences Workshop at NeurIPS 2024

Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent Approach

Tianyi Huang, Arya Somasundaram

Comments NeurIPS 2024 Queer in AI Workshop

Towards Dynamic Message Passing on Graphs

Junshu Sun, Chenxue Yang, Xiangyang Ji, Qingming Huang, Shuhui Wang

Comments Accepted by NeurIPS 2024

Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry

Mostafa Cherif, Tobías I. Liaudat, Jonathan Kern, Christophe Kervazo, Jérôme Bobin

Comments 14 pages, 7 figures. Accepted at the Machine Learning and the Physical Sciences Workshop, NeurIPS 2024

Simulation-based inference with scattering representations: scattering is all you need

Kiyam Lin, Benjamin Joachimi, Jason D. McEwen

Comments 9 pages, 2 figures, accepted by NeurIPS workshop on Machine Learning and the Physical Sciences

Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?

Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith

Comments NeurIPS camera-ready, code at https://github.com/alisawuffles/tokenizer-attack

Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Dylan J. Foster, Adam Block, Dipendra Misra

Comments NeurIPS 2024

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models

Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li

Comments NeurIPS 2024 Dataset & Benchmark Track

Latent Diffusion for Neural Spiking Data

Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke

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

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking

Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong

Comments NeurIPS 2024 Accepted

Probabilistic Graph Rewiring via Virtual Nodes

Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert

Comments Accepted at 38th Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada

Demystify Mamba in Vision: A Linear Attention Perspective

Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang

Comments NeurIPS 2024

On the Computational Landscape of Replicable Learning

Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou

Comments to be published in NeurIPS 2024

CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization

Zi Yang, Ziyue Liu, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang

Comments Accepted by Neurips 2024

Explainable Identification of Hate Speech towards Islam using Graph Neural Networks

Azmine Toushik Wasi

Comments Accepted in: (i) NeurIPS 2023 : Muslims in ML Workshop (Non-archival) (https://www.musiml.org/schedule/#:~:text=Azmine%20Toushik%20Wasi) (ii) EMNLP 2024 : NLP for Positive Impact Workshop (Archival; ACL Anthology: https://aclanthology.org/2024.nlp4pi-1.23/)

Journal ref Proceedings of the Third Workshop on NLP for Positive Impact, EMNLP 2024

Task-aware Distributed Source Coding under Dynamic Bandwidth

Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim

Journal ref NeurIPS 2023

Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding

Daniel Severo, Ashish Khisti, Alireza Makhzani

Comments Published in NeurIPS 2024

On the Role of Noise in Factorizers for Disentangling Distributed Representations

Geethan Karunaratne, Michael Hersche, Abu Sebastian, Abbas Rahimi

Comments Published at Second Workshop on Machine Learning with New Compute Paradigms at 38th NeurIPS 2024 (MLNCP 2024)

BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings

Karine Karine, Susan A. Murphy, Benjamin M. Marlin

Comments Accepted at NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise

Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee

Comments Accepted at NeurIPS 2024

Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies

Frédéric Berdoz, Roger Wattenhofer

Comments Accepted at NeurIPS 2024

Slot State Space Models

Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn

Comments Accepted to NeurIPS 2024; Project page is available at https://slotssms.github.io/ ; Code is available at https://github.com/JindongJiang/SlotSSMs

A Concept-Based Explainability Framework for Large Multimodal Models

Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord

Comments NeurIPS 2024

Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Zhihao Xu, Ruixuan Huang, Changyu Chen, Xiting Wang

Comments 10 pages, accepted at NeurIPS 2024