Tag: research

  • Princeton University at NeurIPS 2026

    Princeton University at NeurIPS 2026

    NeurIPS 2026, which will be held Dec. 6-13, will feature a hybrid format, with the main conference held in Sydney and satellite locations in Atlanta and Paris. Below is a roundup of work that will be presented by Princeton researchers at each of the venues.

    If there’s a project missing from the list, please send us an email.


     Sydney

    Spotlight:

    FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale

    Authors: Runyuan He, Qiuyang Mang, Shang Zhou, Kaiyuan Liu, Hanchen Li, Huanzhi Mao, Qizheng Zhang, Zerui Li, Bo Peng, Lufeng Cheng, Tianfu Fu, Yichuan Wang, Wenhao Chai, Jingbo Shang, Alex Dimakis, Joseph Gonzalez, Alvin Cheung

    Links: Paper  |  NeurIPS page  |  Code


    Spotlight:

    Learning Discrete Riemannian Metrics for Physical Fields with Cochain-Frame Equivariance  

    Authors: Dongzhe Zheng, Christine Allen-Blanchette

    Links: Paper  |  NeurIPS page


    Spotlight:

    Reinforced Fast Weights via Next-Sequence Prediction 

    Authors: Hee Seung Hwang, Xindi Wu, Sanghyuk Chun, Zhiwei Deng, Olga Russakovsky

    Links: Paper  |  NeurIPS page  |  Code


    A Computational Perspective to Data Ablation Experiments

    Authors: Jiachen (Tianhao) Wang, Lin Chen, Mohammadhossein Bateni, Ruoxi Jia, Prateek Mittal, Vahab Mirrokni

    Links: NeurIPS page


    A Memory Efficient Unified Algorithm for Online Learning of Linear Dynamical Systems

    Authors: Yuval Ran-Milo, Angelos Assos, Elad Hazan

    Links: Paper  |  NeurIPS page


    Addressable Memory for Video World Models

    Authors: Xindi Wu, Sven Elflein, James Lucas, Olga Russakovsky, Laura Leal-Taixé, Despoina Paschalidou, Jonathan Lorraine, Aljosa Osep

    Links: Paper  |  NeurIPS page  |  Project


    Attention Alignment Between Humans and Vision-Language Models

    Authors: Isaac Christian, Udith Haputhanthri, Declan Campbell, Samuel Nastase, Taylor Webb, Michael Graziano

    Links: Paper  |  NeurIPS page


    Binding Visual Features Point by Point

    Authors: Udith Haputhanthri, Declan Campbell, Rim Assouel, Jonathan D Cohen, Taylor Webb

    Links: Paper  |  NeurIPS page


    BodyBench: Evaluating Adversarial Image Defenses Against AI Nudification Inpainting

    Authors: Li Qiwei, Salma Abdel Magid, Olga Russakovsky, Eric Gilbert, Sarita Schoenebeck

    Links: Project Page  |  NeurIPS page


    Can AI Agents Synthesize Scientific Conclusions?

    Authors: Hayoung Jung, Pedro V Diniz, José R Roveda, Abner F da Silva, Haeun Jung, Enoch Tsai, Aleksandra Korolova, Manoel Ribeiro

    Links: Paper  |  NeurIPS page  |  Code


    CEO-Bench: Can Agents Play the Long Game?

    Authors: Haozhe Chen, Karthik Narasimhan, Zhuang Liu

    Links: Paper  |  NeurIPS page  |  Project  |  Code


    CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation

    Authors: Sanghyuk Chun, William Yang, Amaya Dharmasiri, Olga Russakovsky

    Links: Paper  |  NeurIPS page  |  Code


    Cross-User Poisoning: User-Task Boundary Failures in Multi-User Collaborative Language Agents

    Authors: Atharv Singh Patlan, Peiyao Sheng, S Ashwin Hebbar, Prateek Mittal, Pramod Viswanath

    Links: Paper  |  NeurIPS page


    Data Diversity Drives the Emergence of Symbolic Mechanisms Supporting Abstract Reasoning

    Authors: Melody Li, Taylor Webb

    Links: NeurIPS page


    DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning

    Authors: Hengyu Fu, Tianyu Guo, Zixuan Wang, Hanlin Zhu, Jason Lee, Jiantao Jiao, Stuart J Russell, Song Mei

    Links: Paper  |  NeurIPS page


    Discovering Phase Space Structure in Learned Hamiltonian Systems

    Authors: Jiayin Liu, Yulong Yang, Vineet Bansal, Christine Allen-Blanchette

    Links: Paper  |  NeurIPS page


    DiscoverPhysics: Benchmarking LLMs for out-of-the-box scientific thinking

    Authors: Lindsay Smith, Matt Sampson, Siddharth Mishra-Sharma, Peter Melchior, Andrew Wilson, Pavel Izmailov, Carolina Cuesta Lazaro

    Links: Paper  |  NeurIPS page  |  Project  |  Code


    Dynamics-Informed Adaptive Offline RL for Real-Time Tokamak Plasma Control

    Authors: Rohit Sonker, Xiaoyan Hu, Hiro J Kaga, Andrew Rothstein, Jiayu Chen, Egemen Kolemen, Jeff Schneider

    Links: NeurIPS page


    Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD

    Authors: Arseniy Andreyev, Pierfrancesco Beneventano

    Links: Paper  |  NeurIPS page  |  Code


    Emergent Low-Rank Training Dynamics in MLPs with Smooth Activations

    Authors: Alec Xu, Can Yaras, Matthew Asato, Qing Qu, Laura Balzano

    Links: Paper  |  NeurIPS page


    EpicWorldModel: Exploration-driven Planning with Latent World Models

    Authors: Bowen Feng, Julian Ost, Zhiting Mei, Anirudha Majumdar, Felix Heide

    Links: Paper  |  NeurIPS page


    Fisher information and the geometry of memorization in neural networks

    Authors: Daniel Bernstein, Chase Goddard, Luca Di Carlo, Vudtiwat Ngampruetikorn, David Schwab

    Links: Paper  |  NeurIPS page


    Frequency-Structured Hamiltonian Neural Network for Multi-Timescale Dynamics

    Authors: Yaojun Li, Yulong Yang, Christine Allen-Blanchette

    Links: NeurIPS page


    GPU Hierarchy Meets Structured Matrices: Fast Algorithms for State-Space Models

    Authors: Berlin Chen, Caitlin Wang, Aakash Sunil Lahoti, Kevin Li, Jay Shah, Jack Carlisle, Timmy Liu, Mengyu Guo, Zico Kolter, Albert Gu, Tri Dao

    Links: NeurIPS page


    Harbor Adapters and Harbor-Mix: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

    Authors: Lin Shi, Haowei Lin, Zixuan Zhu, Xiaoyue Zhou, Xiang Li, Xiangning Lin, Yaxuan Deng, Han Xu, Yuangang Li, Shanda Li, Zizhao Chen, Hanwen Xing, Harsh Raj, Bo Chen, Quan Shi, Steven Dillmann, Yipeng Gao, Puneesh Khanna, Ruofan Lu, Chao Zhou, Michael Yang, Robert Zhang, Siyuan Chai, Jiayu Chang, Yizhao Chen, Xiaokun Chen, Yiwei Dai, Wenting Yang, Hange Liu, Minghao Liu, Zihan Wang, Adnan E Assadi, Benedikt Stroebl, Estefany Kelly Buchanan, Han Meng, Junwei He, Longxuan YU, Radin Shayanfar, Yukyung Lee, Zhikang Dong, Allen G Hart, Anjiang Wei, Anurag Kashyap, Arpandeep Khatua, Audrey J Zheng, Chengrui Ma, David Heineman, dubing, Hai-Anh Trinh, Haishuo Fang, Hefan Zhang, Hui Shen, Issa Sugiura, Jiankai Sun, Jiechao Gao, Junhong Lin, Junnan Li, Kai Yang, Lei Hsiung, Maoyu Wang, Mengze Tang, Nabil Omi, Negin Raoof, Nicholas Edwards, Ruohao Guo, Orfeas Menis Mastromichalakis, Ryan Ji, Przemysław Hejman, Qi Qi, Qunshu Lin, Richard Zhuang, Rui Yang, Ruichen Zheng, Ryan Marten, Shaghayegh Fazliani, Shizheng Hou, Sicong Jiang, Sijie Li, Song Bian, Terry Yue Zhuo, Tianqing Wu, Tom Tang, Wanjia Zhao, Weihao Xuan, Wenhua Liang, Xian Liu, Xin Lan, Ruby Zhang, Xuandong Zhao, Yanchuan Tang, Yifan Jiang, Yijiang Li, Yitong Guan, Yizhi Li, YONGHUI LIU, Yuheng Tang, Yujun Mao, Yunfei Zhao, Yuxin Wang, Yuxuan Tang, Zhenheng Tang, Zhifei Li, Ziruo Wang, Ziyu She, Kaiyuan Liu, Iheb Chaabane, Yuxin Tang, Xiangyi Li, Soroush Vosoughi, Sanmi Koyejo, Di He, Etash Guha, Benjamin Feuer, Andy Konwinski, Boxuan Li, Leon L Chen, Alex Dimakis, Nicholas Carlini, Mike Merrill, Ludwig Schmidt, Alex Shaw

    Links: Paper  |  NeurIPS page  |  Code


    Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs

    Authors: Elizabeth Mieczkowski, Alexander Ku, Tiwalayo Eisape, Dilip Arumugam, John Matters, Katie Collins, Ilia Sucholutsky, Tom Griffiths

    Links: Paper  |  NeurIPS page  |  Code


    In-Context Learning Can Help Vision Language Models Overcome Training Prior

    Authors: Kun Wang, Xindi Wu, Sanghyuk Chun, Olga Russakovsky, Esin Tureci

    Links: Paper  |  NeurIPS page  |  Code


    Inferring learning rules in deep neural network architectures from animal learning data

    Authors: Shaunak Bhandarkar, Jonathan Pillow

    Links: NeurIPS page


    LeAct: Learning to Reason from Expert Actions

    Authors: Ziran Yang, Chengshuai Shi, Raj Ghugare, Benjamin Eysenbach, Karthik Narasimhan, Chi Jin

    Links: Paper  |  NeurIPS page


    M2RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling

    Authors: Mayank Mishra, Shawn Tan, Ion Stoica, Joseph Gonzalez, Tri Dao

    Links: Paper  |  NeurIPS page  |  Code


    Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs

    Authors: Zeyi (Andy) Liu, Michael Zhang, Ilana Greenberg, Adam Alnasser, Lucas Baker, John Sous

    Links: Paper  |  NeurIPS page


    MindGames:A Multi-Agent Benchmark and Trajectory Dataset for Evaluating Social and Strategic Reasoning in LLMs

    Authors: Kevin Wang, Benjamin Kempinski, Anna C. M. Thöni, Xin Yuan Cheng, Jianzhu Yao, Benjamin Finch, Leon Guertler, Viraj Nadkarni, Yihan Jiang, Cheston Tan, Maria Polukarov, Pramod Viswanath, Leshem Choshen, Mathieu Lauriere, Tal Kachman, Zhangyang “Atlas” Wang

    Links: NeurIPS page


    MOOD: Benchmarking Post-Hoc OOD Detection for Materials Property Prediction

    Authors: Shirley X Yu, Amey P Pasarkar, Adji Bousso Dieng

    Links: NeurIPS page


    Muon Does Not Converge on Convex Lipschitz Functions

    Authors: Tetiana Parshakova, Ahmed Khaled, Michael Crawshaw, Guillaume Garrigos, Robert Gower

    Links: Paper  |  NeurIPS page


    NyoomFloat12: Accelerating LLM Inference via Lossless 12-bit Weight Compression

    Authors: Sylvie Liberman, Xinyu Fang, Tianyi Zhang, Tri Dao, Dan Fu

    Links: NeurIPS page


    P3: Joint Program-and-Proof Planning\\ for Verified Code Generation

    Authors: Zenan Li, Ziran Yang, Peiyang Song, Zhaoyu Li, Kaiyu Yang

    Links: Paper  |  NeurIPS page


    PaperLens: How Predictable Is Paper Acceptance?

    Authors: Sachin Konan, Jonathan Liu, Zhuang Liu

    Links: NeurIPS page


    Robustness of Internal Signals for Hallucination Detection in Vision-Language Models

    Authors: Allison Chen, William Yang, Salma Abdel Magid, Jonathan Williams, Olga Russakovsky, Esin Tureci

    Links: Paper  |  NeurIPS page


    SCION: Scene Composition via Instanced Neural Primitives

    Authors: William Koch, Amogh Joshi, Cyrus Vachha, Cheng Zheng, Felix Heide

    Links: Paper  |  NeurIPS page  |  Project


    Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration

    Authors: Chirayu Nimonkar, Shlok Shah, Catherine Ji, Benjamin Eysenbach

    Links: Paper  |  NeurIPS page  |  Project


    Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory

    Authors: Juno Kim, Eshaan Nichani, Denny Wu, Alberto Bietti, Jason Lee

    Links: Paper  |  NeurIPS page


    Strategist: Designing Agentic Reasoning at Scale

    Authors: Taiming Lu, Qi Xu, Zhigang Hua, Zhuang Liu

    Links: NeurIPS page


    The Foundation Model Transparency Index

    Authors: Rishi Bommasani, Kevin Klyman, Shayne Longpre, Sayash Kapoor, Nestor Maslej, Betty Xiong, Daniel Zhang, Percy Liang

    Links: Paper  |  NeurIPS page  |  Project


    The Geometry of Alignment Collapse: When Fine-Tuning Breaks Safety

    Authors: Max Springer, Chung Peng Lee, Bohdan Turbal, Blossom Metevier, Hayoung Jung, Jane Castleman, Zeyu Shen, Aleksandra Korolova

    Links: Paper  |  NeurIPS page


    The PokeAgent Challenge: Competitive and Long-Context Learning at Scale

    Authors: Seth Karten, Jake Grigsby, Tersoo Upaa, Junik Bae, Seonghun Hong, Hyunyoung Jeong, Jaeyoon Jung, Kun Kerdthaisong, Gyungbo Kim, Hyeokgi Kim, Yujin Kim, Eunju Kwon, Dongyu Liu, Patrick Mariglia, Sangyeon Park, Benedikt Schink, Xianwei Shi, Anthony sistilli, Joseph Twin, Arian Urdu, Matin Urdu, Qiao Wang, Ling Wu, Wenli Zhang, Kunsheng Zhou, Stephanie Milani, Kiran Vodrahalli, Amy Zhang, Fei Fang, Yuke Zhu, Chi Jin

    Links: Paper  |  NeurIPS page  |  Project


    Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning

    Authors: Yinghui He, Ling Yang, Jiarui Liu, Yongjin Yang, Lechen Zhang, Mengdi Wang, Sanjeev Arora

    Links: Paper  |  NeurIPS page  |  Code


    Transferability for General Reasoning: An Automated Curriculum for Multi-Domain LLM RL

    Authors: Yongjin Yang, Jiarui Liu, Yinghui He, Lechen Zhang, Bernhard Schölkopf, Zhijing Jin

    Links: Paper  |  NeurIPS page  |  Code


    Understanding Randomization in Greedy Model Search

    Authors: Xin Chen, Jason Klusowski, Yan Shuo Tan, Chang Yu

    Links: Paper |  NeurIPS page


    Variance Reduction for Expectations with Diffusion Teachers

    Authors: Jesse Bettencourt, Xindi Wu, Matan Atzmon, James Lucas, Jonathan Lorraine

    Links: Paper  |  NeurIPS page  |  Project


    Vendi Anomaly Scores for Efficient and Accurate Anomaly Detection

    Authors: Amey P Pasarkar, Adji Bousso Dieng

    Links: NeurIPS page


    VLM3: Vision Language Models Are Native 3D Learners

    Authors: Zhipeng Cai, Zhuang Liu, Yunyang Xiong, Zechun Liu, Vikas Chandra, Yangyang Shi

    Links: Paper  |  NeurIPS page  |  Code


    When to Trust a PFN: Detecting Harmful Shift in Tabular Foundation Models

    Authors: Viet Nguyen, Herman Bergström, Stephan Rabanser, Rahul Krishnan

    Links: NeurIPS page


    Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video LLMs

    Authors: Jongseo Lee, Hyuntak Lee, Sunghun Kim, Sooa Kim, Jihoon Chung, Jinwoo Choi

    Links: Paper  |  NeurIPS page  |  Code


    WiREBench: Evaluating AI Agents’ Capabilities in Reverse-Engineering Black-Box Applications in the Real World

    Authors: Robin Rheem, Alexandra Maxwell, Mona Wang, Benjamin Mixon-Baca, Tianneng Shi, Jeffrey Knockel, Ali Aldakheel, Basel Alomair, Prateek Mittal, Dawn Song

    Links: NeurIPS page


    Atlanta

    Spotlight:

    Do Thinking Tokens Help with Safety?

    Authors: Narutatsu Ri, Abhishek Panigrahi, Sanjeev Arora

    Links: Paper  |  NeurIPS page  |  Code


    Spotlight:

    Position: Reconciling Open Access with Owner Control in AI Model Distribution Deserves More Research Effort

    Authors: Zerui Cheng, Edoardo Contente, Benjamin Finch, Oleg Golev, Jonathan Hayase, Andrew Miller, Niusha Moshrefi, Anshul Nasery, Sewoong Oh, Himanshu Tyagi, Pramod Viswanath

    Links: NeurIPS page


    Oral Presentation:

    Breakeven complexity: A new perspective on neural partial differential equation solvers

    Authors: Yijing Zhang, Nicholas Roberts, Tanya Marwah, Misha Khodak

    Links: Paper  |  NeurIPS page  |  Code


    Oral Presentation:

    DD-Ranking: Rethinking the Evaluation of Dataset Distillation

    Authors: Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Yiran Huang, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin CUI, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N Plataniotis, Zhangyang “Atlas” Wang, Bo Zhao, Yang You, Kai Wang

    Links: Paper  |  NeurIPS page  |  Project  |  Code


    Oral Presentation:

    Escaping the Cognitive Well: Efficient Competition Math with Off-the-Shelf Models

    Authors: Xingyu Dang, Rohit Agarwal, Rodrigo Porto, Anirudh Goyal, Liam Fowl, Sanjeev Arora

    Links: Paper  |  NeurIPS page


    Oral Presentation:

    MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

    Authors: Bohan Lyu, Yucheng Yang, Siqiao Huang, Jiaru Zhang, Qixin Xu, Xinghan Li, Xinyang Han, Yicheng Zhang, Huaqing Zhang, Runhan Huang, Kaicheng Yang, Zitao Chen, Wentao Guo, Junlin Yang, Xinyue Ai, Wenhao Chai, Yadi Cao, Ziran Yang, Kun Wang, Dapeng Jiang, Huan-ang Gao, Shange Tang, Chengshuai Shi, Simon Du, Max Simchowitz, Jiantao Jiao, Dawn Song, Chi Jin

    Links: Paper  |  NeurIPS page  |  Project


    Oral Presentation:

    Soteria: Formally Verified Planning with Runtime Enforcement for Safe LLM Agents

    Authors: Deyuan (Mike) He, Ankush Desai, Sharad Malik, Aarti Gupta

    Links: Poster |  NeurIPS page


    A Theory on Flow Matching with Neural Networks

    Authors: Yihan He, Qishuo Yin, Yuan Cao, Jianqing Fan, Han Liu

    Links: Paper  |  NeurIPS page


    AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion

    Authors: Abrar Rahman Abir, Haz Sameen Shahgir, Rownok Z Ratul, Toki Tahmid, Greg Ver Steeg, Yue Dong

    Links: Paper  |  NeurIPS page  |  Code


    AI GAMESTORE: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games

    Authors: Lance Ying, Ryan Truong, Prafull Sharma, Kaiya Zhao, Nathan Cloos, Kelsey Allen, Tom Griffiths, Katie Collins, Jose Hernandez-Orallo, Phillip Isola, Samuel J Gershman, Josh Tenenbaum

    Links: Paper  |  NeurIPS page  |  Project


    Attention as In-Context Empirical Bayes: A Two-Stage View via Particle Dynamics

    Authors: Matthew Smart, Soumya Ganguly, Nilava Metya, Alexandre V Morozov, Anirvan Sengupta

    Links: Paper  |  NeurIPS page


    CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs

    Authors: Han Guo, Jack Zhang, Arjun Menon, Driss Guessous, Vijay Thakkar, Yoon Kim, Tri Dao

    Links: Paper  |  NeurIPS page  |  Code


    GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators

    Authors: Jiacheng Guo, Ling Yang, Peter Chen, Qixin Xiao, Yinjie Wang, Xinzhe Juan, Ke Shen, Mengdi Wang

    Links: Paper  |  NeurIPS page  |  Code


    HEED: Density-Weighted Residual Alignment for Hybrid Vision-Language Model Distillation

    Authors: Yihao Liang, Niraj Jha

    Links: Paper  |  NeurIPS page


    How does RL Post-training Induce Skill Composition? A Case Study on Countdown

    Authors: Simon Park, Simran Kaur, Sanjeev Arora

    Links: Paper  |  NeurIPS page  |  Code


    Learning Rate Transfer in Normalized Transformers

    Authors: Boris Shigida, Boris Hanin, Andrey Gromov

    Links: Paper  |  NeurIPS page


    Learning What to Remember: Test-Time Training via Context Distillation

    Authors: Zixuan Wang, Xingyu Dang, Rui-Jie Zhu, Zixin Wen, Hengyu Fu, Wenhao Chai, Jason Lee

    Links: Paper  |  NeurIPS page  |  Code


    Measuring and Strengthening Behavioral Suppression in Language Models

    Authors: Luxi (Lucy) He, Pengcheng Jiang, Jifan Zhang, Jiawei Han, Danqi Chen

    Links: NeurIPS page


    Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation

    Authors: Tao Zhong, Yixun Hu, Dongzhe Zheng, Aditya Sood, Christine Allen-Blanchette

    Links: Paper  |  NeurIPS page  |  Project


    Neural Modal Decomposition: Architectural Priors from Observables

    Authors: Juho Park, Kaushik Sengupta

    Links: Paper  |  NeurIPS page


    Provable Quantization with Randomized Hadamard Transform

    Authors: Ying Feng, Piotr Indyk, Michael Kapralov, Dmitry Krachun, Boris Prokhorov

    Links: Paper  |  NeurIPS page


    Rethinking On-Policy Self-Distillation for Thinking Models

    Authors: Simran Kaur, Narutatsu Ri, Yinghui He, Liam Fowl, Sanjeev Arora

    Links: Paper  |  NeurIPS page


    RoboWits: Unexpected Challenges for Robotic Creative Problem Solving

    Authors: Chunru Lin, Hongxin Zhang, Fenghao Yu, Zhehuan Chen, Tom Griffiths, Yejin Choi, David Held, Chuang Gan

    Links: Paper  |  NeurIPS page  |  Project


    Skill-Coupled Policy Optimization with Calibrated Group-Wise Advantage Estimation

    Authors: Peng Wang, Zhendong Chu, Chengshuai Shi, Matthias Poloczek, Cong Shen, Jing Yang

    Links: NeurIPS page


    Strong Teacher Not Needed? On Distillation in LLM Pretraining

    Authors: Taiming Lu, Zhuang Liu

    Links: Paper  |  NeurIPS page  |  Code


    Synthetic Tasks for Training AutoResearch

    Authors: Ziyang Cai, Seyyedamirhossein Saeidi, Harkirat Singh Behl

    Links: Paper | NeurIPS page


    What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions

    Authors: Liyi Zhang, Michael Li, R. Thomas McCoy, Ted Sumers, Jian-Qiao Zhu, Tom Griffiths

    Links: Paper  |  NeurIPS page


    Paris

    Oral Presentation:

    Learning interpretable Schur forms of recurrent weight matrices

    Authors: Alexander Lanine, Liana Akobian, N Alex Cayco Gajic

    Links: NeurIPS page


    Oral Presentation:

    Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization

    Authors: Alireza Modirshanechi, Benjamin Eysenbach, Peter Dayan, Eric Schulz

    Links: Paper  |  NeurIPS page


    Beyond the Half Approximation: Fair and Efficient Online Class Matching

    Authors: Sander Borst, Max Springer

    Links: Paper  |  NeurIPS page


    D2D: Detector-to-Differentiable Critic for Improved Numeracy in Text-to-Image Generation

    Authors: Nobline Yoo, Olga Russakovsky, Ye Zhu

    Links: Paper  |  NeurIPS page


    Hyperparameter Transfer for Dense Associative Memories

    Authors: Roi Holtzman, Dmitry Krotov, Boris Hanin

    Links: Paper  |  NeurIPS page


    Meta-memorization and memorization scaling laws in transformers

    Authors: Alex Nguyen, Kenneth Norman, Gautam Reddy

    Links: Paper | NeurIPS page


    Neural Networks With Dense Weights Are Not Universal Approximators

    Authors: Levi Rauchwerger, Stefanie Jegelka, Ron Levie

    Links: Paper  |  NeurIPS page


    The Power of Second Order Methods for Sequence Preconditioning

    Authors: Annie Marsden, Elad Hazan

    Links: Paper  |  NeurIPS page


    RubiConv – Efficient Boundary-Respecting Convolutions

    Authors: Linda Friso, Annie Marsden, Xinyi Chen, Arushi Gupta, Peter Bartlett, Mark Braverman, Elad Hazan

    Links: Paper  |  NeurIPS page