NeurIPS 2025
December 6th or 7th, 2025
San Diego, USA
Submission Deadline
August 29nd, 2025 : 11:59 AOE
There will be a cash prize of 500 USD to the best papers of each topic category :
- Graph/Geometric and Topological DL
- Symmetry and Equivariance
- Neuroscience and Interpretability
Sponsored by :
The fields of biological and artificial intelligence are increasingly converging on a shared principle: the geometry and topology of real-world structure play a central role in building efficient, robust, and interpretable representations. In neuroscience, mounting evidence suggests that neural circuits encode task and environmental structure through low-dimensional manifolds, conserved symmetries, and structured transformations. In deep learning, principles such as sparsity, equivariance, and compositionality are guiding the development of more generalizable and interpretable models, including new approaches to foundation model distillation.
The NeurReps workshop brings these threads together, fostering dialogue among machine learning researchers, neuroscientists, and mathematicians to uncover unifying geometric principles of neural representation. Just as geometry and symmetry once unified the models of 20th-century physics, we believe they may now illuminate the computational foundations of intelligence. We aim to bring together researchers from applied mathematics and deep learning with neuroscientists whose work reveals the elegant implementation of mathematical structure in biological neural circuitry.
We are excited to announce our 4th annual NeurIPS workshop this December. This year’s workshop expands into emerging frontiers, including geometric mechanistic interpretability, geometry of representations in foundation models of brain activity, and improvements of LLM design guided by geometric understanding of transformers. Our past invited and contributed talks drew exciting connections between trends in geometric deep learning and neuroscience, emphasizing parallels between equivariant structures in brains and machines. This year's workshop will feature five invited talks covering emerging topics on the geometry underlying the brains computations, the role of topology in deep learning and the brain, how we can use insights from classic geometric deep learning to improve foundation models, the forefront in foundation models of the brain as well as how we can extract the brains computational structure with mechanistic interpretability, and, finally, the role of dynamics in shaping neural representations.
University of Fribourg
Francisco Acosta
UC Santa Barbara
Tomas Karella (CAS)
Sourabh Palande (Donald Danford Science Plant Center)
Seunghyuk Cho (POSTECH)
Yivan Zhang (UTokyo)
Bahareh Tolooshams (University of Alberta)
Irene Cannistraci (ETH Zurich)
Paul Samuel Ignacio (UPB)
Katharina Limbeck (Helmholtz/TU Munich)
Jacob Zavatone-Veth (Harvard)
Samy Blusseau (PSL)
Ratna Kandala (KU)
Bo Zhao (UCSD)
Arash Behboodi (Qualcomm)
Aishwarya Balwani (Georgia Tech)
Daniel Platt (Imperial London)
Aslan Satary Dizaji (UMich)
Sina Tootoonian (Francis Crick)
Leander Girrbach (Helmholtz/TU Munich)
Prasad Kothari (ASU)
Wenhao Zhang (UT Southwestern)
Marco Guerra (IMATI CNR)
Lama Moukheiber
Barbaresco Frédéric (THALES)
Qingsong Wang (UCSD)
Santiago VELASCO-FORERO (PSL)
Manos Theodosis (Harvard)
Marika Taylor (UofB)
Soham Mukherjee (Cadence Deign Systems)
Wei Ye (UMN)
Sonky Ung (NM2)
Yufan Wei (UCSD)
Manu Madhav (UBC)
Christos Zangos (UCSB)
Daniel Herrera-Esposito (UPenn)
Rishabh Anand (Yale)
Zach Cohen (Harvard)
Zakhar Shumaylov (Cambridge)
Saurabh Sharma (UCSB)
Dimitra Maoutsa
Shreya Kapoor
Danil Akhtiamov (Caltech)
Daniel Herbst (TU Munich)
Paapa Kwesi Quansah (Baylor)
Kijung Yoon (Hanyang)
Umang Garg (UCSB)
Hamidreza Jamalabadi (UBC)
Yanan Long
Xinhe Zhang (Harvard)
Alvin Jin (USC)
Alexander Kasprzyk (UofN)
Emanuele Rodola (Sapienza)
Tobias Cheung (Edinburgh)
Sungwoo Park (Korea University)
Torben Berndt (Heidelberg)
Arnau Marin-Llobet (Harvard)
Shreya Kapoor (FAU)
Ali Parviz (Mila)
Nahid Torbati (Max Planck)
Kijung Yoon (Hanyang)
Hao Fang (UWashington)
Aparajeeta Guha (CSMC)
Colleen Farrelly (Post Urban Ventures)
Alireza Mousavi (UC Irvine)
Behrooz Tahmasebi (MIT)
Antonio Briola (UCL)
Yara Mansour
Hamed Karimi (Boston College)
Yanan Long
Rana Muhammad Shahroz Khan (UNC Chapel Hill)
Dongmian Zou (Duke Kunshan)
Nello Blaser (UiB)
Daniel Ordoñez (IIT)
Julian Suk (TU Munich)
Jens Agerberg (KTH)
Sanka Mohottala (SLIIT)
Semih Cantürk (MILA)
Davis Brown (UPenn)
Jinen Setpal (Purdue)
Mitchell Ostrow (MIT)
Bariscan Kurtkaya (UCSB)
Arjun Karuvally (Salk)
Akshit Achara (King's College)
Rahul Madhavan (Google)
Hiba Sheheitli (UMN)
Valentino Maiorca (Sapienza)
Alex Gabel (UvA)
Da Zhang (UCSF)
Bilal Alsallakh (Voxel AI)
Congyue Deng (Standford)
Danil Akhtiamov (CalTech)
T. Anderson Keller (Harvard)
Adele Myers (UCSB)
Jeffrey Seely (Sakana)
Nibodh Boddupalli (UCSB)
Alejandro García Castellanos (UvA)
Vasco Portilheiro (Gatsby)
Maris Basha (ETH Zurich)
Edward Debrouwer (Genentech)
Dehong Xu (UCLA)
Frank Qiu (Sandia)
Sungjun Cho (UWisc)
Alpha Renner (Jülich)
Srikanth Ramaswamy (New Castle)
David Reich
Subhadra Mokashe (Brandeis)
Brian DePasquale (Boston University)
Yuliang Guo (Bosch)
Hadi Zaatiti (NYU)
Graham Johnson (NReL)
Haitz Saez de Ocariz Borde (Oxford)
Igor Caetano Diniz (PUC-Rio)
Daiyuan Li (UPenn)
Erik Amezquita (UMiss)
Rishi Sonthalia (Boston College)
Maghesree Chakraborty (Intel)
Muhammad Umar Farooq (Hanyang)
Wolfgang Polonik (UC Davis)
Mashrin Srivastava (Microsoft)
Arthur Pellegrino (Gatsby)
Soham Mukherjee (Cadence Design)
Nico Scherf (Max Planck)
Mashrin Srivastava (Microsoft)
Hamed Karimi (Boston College)
Arif Dönmez (IUF Leibniz)
Mashrin Srivastava (Microsoft)
Berfin İnal (Wageningen)
Siddharth Setlur (Edinburgh)
Shreyas V (MStack)
Abdelghani Azri (UHP)
Kumar Gaurav (IITR)
Adele Myers, University of California, Santa Barbara
Aishwarya Balwani, Georgia Institute of Technology
Akshit Achara, King's College London, University of London
Alejandro García-Castellanos, University of Amsterdam
Alexander Kasprzyk, University of Warwick
Alpha Renner, Forschungszentrum Jülich
Alvin Jin, Massachusetts Institute of Technology
Antonio Briola, University College London, University of London
Aparajeeta Guha, UCLA
Arash Behboodi, QualComm
Arif Dönmez, IUF – Leibniz Research Institute for Environmental Medicine
Arjun Karuvally, Salk Institute
Arnau Marin-Llobet, School of Engineering and Applied Sciences, Harvard University
Arthur Pellegrino, University College London
Aslan Satary Dizaji, LangTechAI
Bariscan Kurtkaya, University of California, Santa Barbara
Behrooz Tahmasebi, Massachusetts Institute of Technology
Bilal Alsallakh, Voxel AI
Bo Zhao, University of California, San Diego
Chase van de Geijn, Georg-August Universität Göttingen
Colleen M. Farrelly, Post Urban Ventures
Congyue Deng, Stanford University
Da Zhang, University of California, San Francisco
Daiyuan Li, UPenn
Daniel Herbst, Technical University of Munich
Daniel Herrera-Esposito, University of Pennsylvania, University of Pennsylvania
Daniel Ordonez-Apraez, Università degli Studi di Genova, Istituto Italiano di Tecnologia
Daniel Platt, King's College London, University of London
David Robert Reich, University of Zurich
Dimitra Maoutsa, Technische Universität München
Dongmian Zou, Duke Kunshan University
Emanuele Rodolà, Sapienza University of Rome
Erik J Amezquita, University of Missouri
Frank Yuchen Qiu, Sandia National Laboratories
Frederic BARBARESCO, CentraleSupelec
Graham Johnson, The National Renewable Energy Laboratory
Hadi Zaatiti, New York University
Haitz Saez de Ocariz Borde, Oxford
Hamed Karimi, Boston College
Hamidreza Jamalabadi, Phillips-Universität Marburg
Hao Fang, University of Washington
Hiba Sheheitli, University of Minnesota - Twin Cities
Jacob A Zavatone-Veth, Harvard University
Jens Agerberg, KTH Royal Institute of Technology
Jinen Setpal, Purdue University
Shreya Kapoor, FAU Erlangen
Katharina Limbeck, Helmholtz Munich
Kijung Yoon, Hanyang University
Leander Girrbach, Technische Universität München
Marika Taylor, University of Birmingham
Maghesree Chakraborty, University of Rochester
Manu Madhav, University of British Columbia
Marco Guerra, CNR IMATI
Maris Basha, ETH Zurich
Muhammad Umar Farooq, Hanyang University
Nahid Torbati, Max Planck Institute
Nello Blaser, University of Bergen
Nibodh Boddupalli, University of California, Santa Barbara
Nico Scherf, Max Planck Institute
Paapa Kwesi Quansah, Baylor University
Qingsong Wang, University of California, San Diego
Ratna Kandala, University of Kansas
Renjie Cao, Nanchang Hangkong University
Rishabh Anand, Yale University
Rishi Sonthalia, Boston College
S. Alireza Seyyed Mousavi, University of California, Irvine
Samy Blusseau, Mines Paris
Saurabh Sharma, University of California, Santa Barbara
Semih Cantürk, Montreal Institute for Learning Algorithms
Seunghyuk Cho, Pohang University of Science and Technology
Shreyas V, Birla Institute of Technology and Science, Pilani - Goa Campus
Siddharth Setlur, University of Edinburgh
Sina Tootoonian, Francis Crick Institute
Soham Mukherjee, Cadence Design Systems
Sonky Ung, NM2 Consulting
Srikanth Ramaswamy, Newcastle University, UK
Subhadra Mokashe, Brandeis University
Sungjun Cho, University of Wisconsin - Madison
Sungwoo Park, Korea University
Tobias Cheung, Edinburgh University
Tomáš Karella, Charles University Prague
Torben Berndt, Heidelberg Institute for Theoretical Studies
Umang Garg, UC Santa Barbara
Wei Ye, University of Minnesota - Twin Cities
Wenhao Zhang, University of Texas Southwestern Medical Center
Wolfgang Polonik, University of California, Davis
Xinhe Zhang, Harvard University, Harvard University
Yivan Zhang, The University of Tokyo
Yufan Wei, University of California, San Diego
Zachary Lubberts, University of Virginia, Charlottesville
Zakhar Shumaylov, University of Cambridge
Yuliang Guo, Bosch Research
Antonin Sulc, Lawrence Berkeley National Lab
Kuan Lu, Google DeepMind
Sponsored by :