Michael P. Brenner

According to our database, Michael P. Brenner authored at least 43 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery.

Michael P. Brenner, Vincent Cohen-Addad, David P. Woodruff

CoRR, March, 2026

Accelerating Scientific Research with Gemini: Case Studies and Common Techniques.

David P. Woodruff, Vincent Cohen-Addad, Lalit Jain, Jieming Mao, Song Zuo, MohammadHossein Bateni, Simina Brânzei, Michael P. Brenner, Lin Chen, Ying Feng, Lance Fortnow, Gang Fu, Ziyi Guan, Zahra Hadizadeh, Mohammad T. Hajiaghayi, Mahdi JafariRaviz, Adel Javanmard, Karthik C. S., Ken-ichi Kawarabayashi, Ravi Kumar, Silvio Lattanzi, Euiwoong Lee, Yi Li, Ioannis Panageas, Dimitris Paparas, Benjamin Przybocki, Bernardo Subercaseaux, Ola Svensson, Shayan Taherijam, Xuan Wu, Eylon Yogev, Morteza Zadimoghaddam, Samson Zhou, Yossi Matias, James Manyika, Vahab Mirrokni

CoRR, February, 2026

2025

Generalizing PDE Emulation with Equation-Aware Neural Operators.

Qian-Ze Zhu, Paul Raccuglia, Michael P. Brenner

CoRR, November, 2025

Accelerating scientific discovery with the common task framework.

J. Nathan Kutz, Peter W. Battaglia, Michael P. Brenner, Kevin Carlberg, Aric A. Hagberg, Shirley Ho, Stephan Hoyer, Henning Lange, Hod Lipson, Michael W. Mahoney, Frank Noé, Max Welling, Laure Zanna, Francis Zhu, Steven L. Brunton

CoRR, November, 2025

Expert Evaluation of LLM World Models: A High-T_c Superconductivity Case Study.

Haoyu Guo, Maria Tikhanovskaya, Paul Raccuglia, Alexey Vlaskin, Chris Co, Daniel J. Liebling, Scott Ellsworth, Matthew Abraham, Elizabeth Dorfman, N. P. Armitage, Chunhan Feng, Antoine Georges, Olivier Gingras, Dominik Kiese, Steven A. Kivelson, Vadim Oganesyan, B. J. Ramshaw, Subir Sachdev, T. Senthil, J. M. Tranquada, Michael P. Brenner, Subhashini Venugopalan, Eun-Ah Kim

CoRR, November, 2025

Engineering morphogenesis of cell clusters with differentiable programming.

Ramya Deshpande, Francesco Mottes, Ariana-Dalia Vlad, Michael P. Brenner, Alma Dal Co

Nat. Comput. Sci., October, 2025

Meshless solutions of PDE inverse problems on irregular geometries.

James V. Roggeveen, Michael P. Brenner

CoRR, October, 2025

CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers.

Haining Pan, James V. Roggeveen, Erez Berg, Juan Carrasquilla, Debanjan Chowdhury, Surya Ganguli, Federico Ghimenti, Juraj Hasik, Henry Hunt, HongJiang Zhang, Mason Kamb, Ying-Jer Kao, Ehsan Khatami, Michael J. Lawler, Di Luo, Titus Neupert, Xiaoliang Qi, Michael P. Brenner, Eun-Ah Kim

CoRR, October, 2025

EEFSUVA: A New Mathematical Olympiad Benchmark.

Nicole N. Khatibi, Daniil A. Radamovich, Michael P. Brenner

CoRR, October, 2025

An AI system to help scientists write expert-level empirical software.

Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, Marc Coram, Hao Cui, Jake Garrison, Renee Johnston, Anton Kast, Cory Y. McLean, Peter C. Norgaard, Zahra Shamsi, David Smalling, James Thompson, Subhashini Venugopalan, Brian P. Williams, Chujun He, Sarah Martinson, Martyna Plomecka, Lai Wei, Yuchen Zhou, Qian-Ze Zhu, Matthew Abraham, Erica Brand, Anna Bulanova, Jeffrey A. Cardille, Chris Co, Scott Ellsworth, Grace Joseph, Malcolm Kane, Ryan Krueger, Johan Kartiwa, Daniel J. Liebling, Jan-Matthis Lueckmann, Paul Raccuglia, Xuefei Wang, Katherine Chou, James Manyika, Yossi Matias, John C. Platt, Lizzie Dorfman, Shibl Mourad, Michael P. Brenner

CoRR, September, 2025

HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class.

James V. Roggeveen, Erik Y. Wang, Will Flintoft, Peter Donets, Lucy S. Nathwani, Nickholas Gutierrez, David Ettel, Anton Marius Graf, Siddharth Dandavate, Arjun Nageswaran, Raglan Ward, Ava Williamson, Anne Mykland, Kacper K. Migacz, Yijun Wang, Egemen Bostan, Duy Thuc Nguyen, Zhe He, Marc L. Descoteaux, Felix Yeung, Shida Liu, Jorge García Ponce, Luke Zhu, Yuyang Chen, Ekaterina S. Ivshina, Miguel Fernandez, Minjae Kim, Kennan Gumbs, Matthew Scott Tan, Russell Yang, Mai Hoang, David Brown, Isabella A. Silveira, Lavon Sykes, Ahmed Roman, William Fredenberg, Yiming Chen, Lucas Martin, Yixing Tang, Kelly Werker Smith, Hongyu Liao, Logan G. Wilson, Alexander Dazhen Cai, Andrea Elizabeth Biju, Michael P. Brenner

CoRR, May, 2025

FEABench: Evaluating Language Models on Multiphysics Reasoning Ability.

Nayantara Mudur, Hao Cui, Subhashini Venugopalan, Paul Raccuglia, Michael P. Brenner, Peter C. Norgaard

CoRR, April, 2025

Towards AI-assisted Academic Writing.

Daniel J. Liebling, Malcolm Kane, Madeleine Grunde-McLaughlin, Ian J. Lang, Subhashini Venugopalan, Michael P. Brenner

CoRR, March, 2025

CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning.

Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter C. Norgaard, Nayantara Mudur, Martyna Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, Ruth Alcantara, Matthew Abraham, Muqthar Mohammad, Ean Phing VanLee, Chenfei Jiang, Elizabeth Dorfman, Eun-Ah Kim, Michael P. Brenner, Viren Jain, Sameera S. Ponda, Subhashini Venugopalan

CoRR, March, 2025

The Cloud-Based Geospatial Benchmark: Challenges and LLM Evaluation.

Jeffrey A. Cardille, Renee Johnston, Simon Ilyushchenko, Johan Kartiwa, Zahra Shamsi, Matthew Abraham, Khashayar Azad, Kainath Ahmed, Emma Bergeron Quick, Nuala Caughie, Noah Jencz, Karen Dyson, Andrea Puzzi Nicolau, Maria Fernanda Lopez-Ornelas, David Saah, Michael P. Brenner, Subhashini Venugopalan, Sameera S Ponda

Proceedings of The TerraBytes {ICML} Workshop: Towards global datasets and models for Earth Observation, 2025

HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics.

Jingxuan Fan, Sarah Martinson, Erik Y. Wang, Kaylie Hausknecht, Jonah Brenner, Danxian Liu, Nianli Peng, Corey Wang, Michael P. Brenner

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Neural general circulation models for weather and climate.

Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. Norgaard, Jamie A. Smith, Griffin Mooers, Milan Klöwer, James Lottes, Stephan Rasp, Peter D. Düben, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer

Nat., August, 2024

Quantum Many-Body Physics Calculations with Large Language Models.

Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim

CoRR, 2024

2023

Learning to correct spectral methods for simulating turbulent flows.

Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer

Trans. Mach. Learn. Res., 2023

Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments.

Shanqing Cai, Subhashini Venugopalan, Katie Seaver, Xiang Xiao, Katrin Tomanek, Sri Jalasutram, Meredith Ringel Morris, Shaun K. Kane, Ajit Narayanan, Robert L. MacDonald, Emily Kornman, Daniel E. Vance, Blair Casey, Steve M. Gleason, Philip Q. Nelson, Michael P. Brenner

CoRR, 2023

Neural General Circulation Models.

Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. Norgaard, Jamie A. Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter D. Düben, Milan Klöwer, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer

CoRR, 2023

The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models.

Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Zaid Zada, Avigail Dabush, Bobbi Aubrey, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Roi Reichart, Michael P. Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Omer Levy, Uri Hasson

CoRR, 2023

Speech Intelligibility Classifiers from 550k Disordered Speech Samples.

Subhashini Venugopalan, Jimmy Tobin, Samuel J. Yang, Katie Seaver, Richard J. N. Cave, Pan-Pan Jiang, Neil Zeghidour, Rus Heywood, Jordan R. Green, Michael P. Brenner

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A machine-learning based objective measure for ALS disease severity.

Fernando Vieira, Subhashini Venugopalan, Alan S. Premasiri, Maeve McNally, Aren Jansen, Kevin McCloskey, Michael P. Brenner, Steven Perrin

npj Digit. Medicine, 2022

Context-Aware Abbreviation Expansion Using Large Language Models.

Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Programming cell growth into different cluster shapes using diffusible signals.

Yipei Guo, Mor Nitzan, Michael P. Brenner

PLoS Comput. Biol., 2021

Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images.

Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon M. Kleinberg

CoRR, 2021

Machine learning accelerated computational fluid dynamics.

Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer

CoRR, 2021

Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases.

Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia.

Robert L. MacDonald, Pan-Pan Jiang, Julie Cattiau, Rus Heywood, Richard Cave, Katie Seaver, Marilyn A. Ladewig, Jimmy Tobin, Michael P. Brenner, Philip C. Nelson, Jordan R. Green, Katrin Tomanek

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases.

Jordan R. Green, Robert L. MacDonald, Pan-Pan Jiang, Julie Cattiau, Rus Heywood, Richard Cave, Katie Seaver, Marilyn A. Ladewig, Jimmy Tobin, Michael P. Brenner, Philip C. Nelson, Katrin Tomanek

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

A Voice-Activated Switch for Persons with Motor and Speech Impairments: Isolated-Vowel Spotting Using Neural Networks.

Shanqing Cai, Lisie Lillianfeld, Katie Seaver, Jordan R. Green, Michael P. Brenner, Philip C. Nelson, D. Sculley

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Variational Data Assimilation with a Learned Inverse Observation Operator.

Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Scientific Discovery by Generating Counterfactuals using Image Translation.

Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Rory Sayres, Abigail E. Huang, Siva Balasubramanian, Michael P. Brenner, Philip Q. Nelson, Avinash V. Varadarajan

CoRR, 2020

Scientific Discovery by Generating Counterfactuals Using Image Translation.

Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Gregory S. Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Michael P. Brenner, Philip C. Nelson, Avinash V. Varadarajan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets.

Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel J. Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, João Pereira, Michael P. Brenner, Lee Rubin, Brian Wainger, Marc Berndl

CoRR, 2019

Personalizing ASR for Dysarthric and Accented Speech with Limited Data.

Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry.

Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell

CoRR, 2018

2015

Adaptation of fluid flow in the slime mould Physarum polycephalum.

Karen Alim, Gabriel Amselem, François Peaudecerf, Anne Pringle, Michael P. Brenner

Proceedings of the BICT 2015, 2015

2011

Deriving Finite Sphere Packings.

Natalie Arkus, Vinothan N. Manoharan, Michael P. Brenner

SIAM J. Discret. Math., 2011

2010

Charge as a Selection Criterion for Translocation through the Nuclear Pore Complex.

Lucy J. Colwell, Michael P. Brenner, Katharina Ribbeck

PLoS Comput. Biol., 2010

2009

Action Potential Initiation in the Hodgkin-Huxley Model.

Lucy J. Colwell, Michael P. Brenner

PLoS Comput. Biol., 2009

2007

Excitability Constraints on Voltage-Gated Sodium Channels.

Elaine Angelino, Michael P. Brenner

PLoS Comput. Biol., 2007