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NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17330
2311.17283 2023-11-30 cs.MS

Lineax: unified linear solves and linear least-squares in JAX and Equinox

Jason Rader, Terry Lyons, Patrick Kidger

Comments 7 pages, 1 figure, NeurIPS 2023 AI for Science workshop

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2311.17238 2023-11-30 astro-ph.IM astro-ph.CO astro-ph.GA

Domain Adaptation for Measurements of Strong Gravitational Lenses

Paxson Swierc, Megan Zhao, Aleksandra Ćiprijanović, Brian Nord

Comments Accepted in Machine Learning and the Physical Sciences Workshop at NeurIPS 2023; 9 pages, 2 figures, 2 tables

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2311.17232 2023-11-30 cs.CV cs.AI

ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development

Benjamin Cappell, Andreas Stoll, Williams Chukwudi Umah, Bernhard Egger

Comments https://github.com/BennyCa/ReWaRD/ IN: Proceedings of the first edition of the Workshop on Unifying Representations in Neural Models (UniReps 2023) @ NeurIPS 2023

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2311.17162 2023-11-30 hep-ex cs.LG

Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder

Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant

Comments 7 pages, 4 figures, accepted at the Machine Learning and the Physical Sciences Workshop, NeurIPS 2023

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2311.17143 2023-11-30 astro-ph.IM astro-ph.HE cs.LG stat.ML

Predicting the Age of Astronomical Transients from Real-Time Multivariate Time Series

Hali Huang, Daniel Muthukrishna, Prajna Nair, Zimi Zhang, Michael Fausnaugh, Torsha Majumder, Ryan J. Foley, George R. Ricker

Comments 6 pages, 4 figures. Accepted at the NeurIPS 2023 Machine Learning and the Physical Sciences workshop

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2311.17107 2023-11-30 cs.LG cs.AI cs.CL cs.CY cs.IR

ClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate Statements?

Romain Lacombe, Kerrie Wu, Eddie Dilworth

Comments Tackling Climate Change with Machine Learning workshop at NeurIPS 2023

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2311.17080 2023-11-30 cs.CV cs.AI

Combating the "Sameness" in AI Art: Reflections on the Interactive AI Installation Fencing Hallucination

Weihao Qiu, George Legrady

Comments Paper for NeurIPS 2023 Workshop, Machine Learning for Creativity and Design

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2311.00290 2023-11-30 cs.CE cs.AI cs.LG math-ph math.MP physics.geo-ph

Inference of CO2 flow patterns -- a feasibility study

Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, Felix J. Herrmann

Comments Accepted in NeurIPS 2023 Workshop - Tackling Climate Change with Machine Learning (Spotlight)

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2310.12819 2023-11-30 cs.AI cs.LG

Hybrid Search for Efficient Planning with Completeness Guarantees

Kalle Kujanpää, Joni Pajarinen, Alexander Ilin

Comments NeurIPS 2023 Poster

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2310.01870 2023-11-30 cs.LG

DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models

Albert Garde, Esben Kran, Fazl Barez

Comments 5 pages (9 total), 1 figure, submitted to NeurIPS 2023 Workshop XAIA

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2309.12931 2023-11-30 cs.CL cs.AI cs.LG

On Separate Normalization in Self-supervised Transformers

Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Li-Ping Liu

Comments NIPS 2023

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2303.06842 2023-11-30 cs.CV

Hierarchical Relationships: A New Perspective to Enhance Scene Graph Generation

Bowen Jiang, Camillo J. Taylor

Comments NeurIPS 2023 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2023); NeurIPS 2023 Queer in AI Workshop. This paper is a preliminary work of the full paper available at arXiv:2311.12889

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2311.17056 2023-11-29 cs.CV

Self-Supervised Motion Magnification by Backpropagating Through Optical Flow

Zhaoying Pan, Daniel Geng, Andrew Owens

Journal ref Thirty-seventh Conference on Neural Information Processing Systems (2023)

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2311.17055 2023-11-29 cs.CV cs.AI cs.IT cs.LG math.IT

No Representation Rules Them All in Category Discovery

Sagar Vaze, Andrea Vedaldi, Andrew Zisserman

Comments NeurIPS 2023

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2311.17053 2023-11-29 cs.RO cs.AI cs.CV cs.LG

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua Tenenbaum, Chuang Gan, Daniela Rus

Comments NeurIPS 2023. Project page: https://diffusebot.github.io/

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2311.17017 2023-11-29 cs.CY cs.AI

Foundational Moral Values for AI Alignment

Betty Li Hou, Brian Patrick Green

Comments AI meets Moral Philosophy and Moral Psychology Workshop, 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

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2311.16656 2023-11-29 cs.LG stat.ML

Pseudo-Likelihood Inference

Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters

Comments 27 pages, 12 figures, Published as a conference paper at NeurIPS 2023

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2311.16338 2023-11-29 cs.CL cs.AI

Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models

Rob Grzywinski, Joshua D'Arcy, Rob Naidoff, Ashish Shukla, Alex Browne, Ren Gibbons, Brinnae Bent

Comments NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following

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2311.16306 2023-11-29 astro-ph.GA nlin.CD

The search for the lost attractor

Mario Pasquato, Syphax Haddad, Pierfrancesco Di Cintio, Alexandre Adam, Pablo Lemos, Noé Dia, Mircea Petrache, Ugo Niccolò Di Carlo, Alessandro Alberto Trani, Laurence Perreault-Levasseur, Yashar Hezaveh

Comments Accepted by ML4PS workshop at NeurIPS 2023

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2311.16302 2023-11-29 cs.LG cs.CL

Comprehensive Benchmarking of Entropy and Margin Based Scoring Metrics for Data Selection

Anusha Sabbineni, Nikhil Anand, Maria Minakova

Comments Accepted to Efficient Natural Language and Speech Processing (ENLSP-III) workshop at NeurIPS '23

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2311.16295 2023-11-29 q-bio.NC

Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells

Rylan Schaeffer, Mikail Khona, Adrian Bertagnoli, Sanmi Koyejo, Ila Rani Fiete

Comments Accepted at NeurIPS 2023 Workshops: UniReps, NeurReps, AI4Science

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2311.16238 2023-11-29 astro-ph.CO

Learning Reionization History from Quasars with Simulation-Based Inference

Huanqing Chen, Joshua Speagle, Keir K. Rogers

Comments 8 pages, 5 figures, Machine Learning and the Physical Sciences Workshop, NeurIPS 2023

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2311.02057 2023-11-29 astro-ph.GA physics.flu-dyn

Neural ODEs as a discovery tool to characterize the structure of the hot galactic wind of M82

Dustin D. Nguyen, Yuan-Sen Ting, Todd A. Thompson, Sebastian Lopez, Laura A. Lopez

Comments 9 Pages, 2 Figures, Accepted at the NeurIPS 2023 workshop on Machine Learning and the Physical Sciences

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2310.00741 2023-11-29 cs.CL

FELM: Benchmarking Factuality Evaluation of Large Language Models

Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He

Comments Accepted by NeurIPS 2023 Track on Datasets and Benchmarks

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2309.16064 2023-11-29 cs.CV cs.AI cs.LG

Masked Autoencoders are Scalable Learners of Cellular Morphology

Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Maciej Sypetkowski, Chi Vicky Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw

Comments Spotlight at NeurIPS 2023 Generative AI and Biology (GenBio) Workshop

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2307.12226 2023-11-29 cs.LG cs.AI stat.ML

Geometry-Aware Adaptation for Pretrained Models

Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala

Comments NeurIPS 2023

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2306.03089 2023-11-29 cs.CV

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models

Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr

Comments NeurIPS 2023 (Oral). Project page: https://www.cs.cmu.edu/~afluo/BrainDiVE/

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2305.15347 2023-11-29 cs.CV

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

Comments Accepted by NeurIPS 23, project page: https://sd-complements-dino.github.io/

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2302.07221 2023-11-29 cs.LG

On the Role of Randomization in Adversarially Robust Classification

Lucas Gnecco-Heredia, Yann Chevaleyre, Benjamin Negrevergne, Laurent Meunier, Muni Sreenivas Pydi

Comments 10 pages main paper (27 total), 2 figures in main paper. Neurips 2023

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2206.08164 2023-11-29 cs.LG

Long Range Graph Benchmark

Vijay Prakash Dwivedi, Ladislav Rampášek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini

Comments Added reference to Tönshoff et al., 2023 in Sec. 4.1; NeurIPS 2022 Track on D&B; Open-sourced at: https://github.com/vijaydwivedi75/lrgb

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