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

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