NeurIPS - arXivDaily 期刊&会议

2412.08292 2024-12-12 cs.LG cs.AI

Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations

Nikil Roashan Selvam, Amil Merchant, Stefano Ermon

Comments NeurIPS 2024

2412.08287 2024-12-12 cs.LG math.OC

DistrictNet: Decision-aware learning for geographical districting

Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal

Comments Accepted at NeurIPS 2024

2412.08265 2024-12-12 astro-ph.IM astro-ph.GA physics.comp-ph physics.data-an

Fast GPU-Powered and Auto-Differentiable Forward Modeling of IFU Data Cubes

Ufuk Çakır, Anna Lena Schaible, Tobias Buck

Comments accepted to the Machine Learning and the Physical Sciences Workshop, NeurIPS 2024

2412.08228 2024-12-12 cs.CV cs.AI cs.LG

Hierarchical Classification for Automated Image Annotation of Coral Reef Benthic Structures

Célia Blondin, Joris Guérin, Kelly Inagaki, Guilherme Longo, Laure Berti-Équille

Comments Poster at Tackling Climate Change with Machine Learning: workshop at NeurIPS 2024

2412.08139 2024-12-12 cs.CV cs.AI cs.LG

Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation

Jiaming Lv, Haoyuan Yang, Peihua Li

Comments Accepted to NeurIPS 2024. Equal contribution from first two authors

2412.07977 2024-12-12 cs.AI

Thinking Fast and Laterally: Multi-Agentic Approach for Reasoning about Uncertain Emerging Events

Stefan Dernbach, Alejandro Michel, Khushbu Agarwal, Christopher Brissette, Geetika Gupta, Sutanay Choudhury

Comments Presented in The 1st Workshop on System-2 Reasoning at Scale (NeurIPS 2024), Vancouver, Canada

2412.07947 2024-12-12 cs.LG cs.AI

GPT-2 Through the Lens of Vector Symbolic Architectures

Johannes Knittel, Tushaar Gangavarapu, Hendrik Strobelt, Hanspeter Pfister

Comments 2nd Workshop on Attributing Model Behavior at Scale (ATTRIB) at NeurIPS 2024

2412.07877 2024-12-12 stat.ML cs.LG

Score-Optimal Diffusion Schedules

Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed

Comments NeurIPS 2024 accepted paper

2412.07867 2024-12-12 hep-ex cs.LG hep-ph

Bumblebee: Foundation Model for Particle Physics Discovery

Andrew J. Wildridge, Jack P. Rodgers, Ethan M. Colbert, Yao yao, Andreas W. Jung, Miaoyuan Liu

Comments 5 pages, 3 figures, submitted to Machine Learning and the Physical Sciences Workshop, NeurIPS 2024

2412.07839 2024-12-12 hep-ph

Symbolic regression for precision LHC physics

Manuel Morales-Alvarado, Daniel Conde, Josh Bendavid, Veronica Sanz, Maria Ubiali

Comments 7 pages, 7 figures, 3 tables. Accepted for the Machine Learning and the Physical Sciences Workshop NeurIPS 2024

2412.07786 2024-12-12 cs.DB cs.AI

Towards Agentic Schema Refinement

Agapi Rissaki, Ilias Fountalis, Nikolaos Vasiloglou, Wolfgang Gatterbauer

Comments To appear at the Table Representation Learning Workshop, NeurIPS 2024

2411.01084 2024-12-12 cs.CL

Plentiful Jailbreaks with String Compositions

Brian R. Y. Huang

Comments NeurIPS SoLaR Workshop 2024

2410.23748 2024-12-12 cs.LG cs.AI

Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks

Xuyuan Liu, Yinghao Cai, Qihui Yang, Yujun Yan

Comments NeurIPS 2024

2409.17778 2024-12-12 cs.CV

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs

Qinpeng Cui, Yixuan Liu, Xinyi Zhang, Qiqi Bao, Qingmin Liao, Li Wang, Tian Lu, Zicheng Liu, Zhongdao Wang, Emad Barsoum

Comments This paper is accepted by NeurIPS 2024

2409.04792 2024-12-12 cs.LG cs.AI

Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn

Hongyao Tang, Glen Berseth

Comments Accepted to NeurIPS 2024. Project page: https://bluecontra.github.io/CHAIN

2407.15504 2024-12-12 cs.LG cs.CL cs.IT math.IT

Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models

Alliot Nagle, Adway Girish, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim

Comments 42 pages, 17 figures. Accepted to NeurIPS 2024

2406.19370 2024-12-12 cs.LG cs.AI

Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space

Core Francisco Park, Maya Okawa, Andrew Lee, Hidenori Tanaka, Ekdeep Singh Lubana

Comments NeurIPS 2024 (Spotlight)

2406.11872 2024-12-12 cs.LG cs.AI

The EarlyBird Gets the WORM: Heuristically Accelerating EarlyBird Convergence

Adithya Vasudev

Comments Accepted to the Efficient Natural Language and Speech Processing Workshop at NeurIPS 2024

2406.09417 2024-12-12 cs.CV cs.GR cs.LG

Rethinking Score Distillation as a Bridge Between Image Distributions

David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa

Comments NeurIPS 2024. Project webpage: https://sds-bridge.github.io/

2405.20313 2024-12-12 cs.LG q-bio.BM

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation

Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael Bronstein, Alexander Tong, Avishek Joey Bose

Comments Presented at NeurIPS 2024

2310.01144 2024-12-12 cs.LG

The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks

Christopher Blöcker, Chester Tan, Ingo Scholtes

Journal ref Advances in Neural Information Processing Systems 37 (NeurIPS 2024)

2412.07770 2024-12-11 cs.CV cs.LG

From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos

Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Sham Kakade, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi

Comments NeurIPS 2024. For project page, see https://mattwallingford.github.io/ODIN

2412.07674 2024-12-11 cs.CV

FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models

Tong Wu, Yinghao Xu, Ryan Po, Mengchen Zhang, Guandao Yang, Jiaqi Wang, Ziwei Liu, Dahua Lin, Gordon Wetzstein

Comments NeurIPS 2024 (Datasets and Benchmarks Track); Project page: https://fiva-dataset.github.io/

2407.07532 2024-12-11 cs.CV

Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation

István Sárándi, Gerard Pons-Moll

Comments Accepted at NeurIPS 2024

2404.12253 2024-12-11 cs.CL cs.LG

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Haitao Mi, Dong Yu

Comments NeurIPS 2024

2412.07186 2024-12-11 cs.LG cs.AI

Monte Carlo Tree Search based Space Transfer for Black-box Optimization

Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian

Comments NeurIPS 2024 Spotlight

2412.07174 2024-12-11 cs.LG cs.AI

Post-Training Statistical Calibration for Higher Activation Sparsity

Vui Seng Chua, Yujie Pan, Nilesh Jain

Comments ENLSP-IV NeurIPS Workshop 2024

2412.07167 2024-12-11 cs.LG cs.AI

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian

Comments NeurIPS 2024

2412.06981 2024-12-11 cs.CV cs.LG

Diffusing Differentiable Representations

Yash Savani, Marc Finzi, J. Zico Kolter

Comments Published at NeurIPS 2024

2411.11329 2024-12-11 cs.CV

Color-Oriented Redundancy Reduction in Dataset Distillation

Bowen Yuan, Zijian Wang, Mahsa Baktashmotlagh, Yadan Luo, Zi Huang

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