Michael P. Brenner

51 papers A* 2A 5Misc 1Journal 39Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Scientific Research with Gemini: Case Studies and Common Techniques. CoRR 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
2026	J	`jnl`	Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery. CoRR Michael P. Brenner, Vincent Cohen-Addad, David P. Woodruff
2025	J	`jnl`	Accelerating scientific discovery with the common task framework. CoRR 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
2025	J	`jnl`	An AI system to help scientists write expert-level empirical software. CoRR 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
2025	J	`jnl`	CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers. CoRR 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
2025	J	`jnl`	CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning. CoRR 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
2025	J	`jnl`	EEFSUVA: A New Mathematical Olympiad Benchmark. CoRR Nicole N. Khatibi, Daniil A. Radamovich, Michael P. Brenner
2025	J	`jnl`	Engineering morphogenesis of cell clusters with differentiable programming. Nat. Comput. Sci. Ramya Deshpande, Francesco Mottes, Ariana-Dalia Vlad, Michael P. Brenner, Alma Dal Co
2025	J	`jnl`	Expert Evaluation of LLM World Models: A High-T CoRR 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
2025	J	`jnl`	FEABench: Evaluating Language Models on Multiphysics Reasoning Ability. CoRR Nayantara Mudur, Hao Cui, Subhashini Venugopalan, Paul Raccuglia, Michael P. Brenner, Peter C. Norgaard
2025	J	`jnl`	Generalizing PDE Emulation with Equation-Aware Neural Operators. CoRR Qian-Ze Zhu, Paul Raccuglia, Michael P. Brenner
2025	J	`jnl`	HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class. CoRR 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
2025	A*	`conf`	HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics. ICLR Jingxuan Fan, Sarah Martinson, Erik Y. Wang, Kaylie Hausknecht, Jonah Brenner, Danxian Liu, Nianli Peng, Corey Wang, Michael P. Brenner
2025	J	`jnl`	Meshless solutions of PDE inverse problems on irregular geometries. CoRR James V. Roggeveen, Michael P. Brenner
2025	—	`conf`	The Cloud-Based Geospatial Benchmark: Challenges and LLM Evaluation. TerraBytes 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
2025	J	`jnl`	Towards AI-assisted Academic Writing. CoRR Daniel J. Liebling, Malcolm Kane, Madeleine Grunde-McLaughlin, Ian J. Lang, Subhashini Venugopalan, Michael P. Brenner
2024	J	`jnl`	Engineering morphogenesis of cell clusters with differentiable programming. CoRR Ramya Deshpande, Francesco Mottes, Ariana-Dalia Vlad, Michael P. Brenner, Alma Dal Co
2024	J	`jnl`	HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics. CoRR Jingxuan Fan, Sarah Martinson, Erik Y. Wang, Kaylie Hausknecht, Jonah Brenner, Danxian Liu, Nianli Peng, Corey Wang, Michael P. Brenner
2024	J	`jnl`	Neural general circulation models for weather and climate. Nat. 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
2024	J	`jnl`	Quantum Many-Body Physics Calculations with Large Language Models. CoRR Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim
2023	J	`jnl`	Learning to correct spectral methods for simulating turbulent flows. Trans. Mach. Learn. Res. Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
2023	J	`jnl`	Neural General Circulation Models. CoRR 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
2023	Misc	`conf`	Speech Intelligibility Classifiers from 550k Disordered Speech Samples. ICASSP 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
2023	J	`jnl`	Speech Intelligibility Classifiers from 550k Disordered Speech Samples. CoRR 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
2023	J	`jnl`	The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR 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
2023	J	`jnl`	Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments. CoRR 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
2022	J	`jnl`	A machine-learning based objective measure for ALS disease severity. npj Digit. Medicine Fernando Vieira, Subhashini Venugopalan, Alan S. Premasiri, Maeve McNally, Aren Jansen, Kevin McCloskey, Michael P. Brenner, Steven Perrin
2022	—	`conf`	Context-Aware Abbreviation Expansion Using Large Language Models. NAACL-HLT Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner
2022	J	`jnl`	Context-Aware Abbreviation Expansion Using Large Language Models. CoRR Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner
2022	J	`jnl`	Learning to correct spectral methods for simulating turbulent flows. CoRR Gideon Dresdner, Dmitrii Kochkov, Peter C. Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
2021	A	`conf`	A Voice-Activated Switch for Persons with Motor and Speech Impairments: Isolated-Vowel Spotting Using Neural Networks. Interspeech Shanqing Cai, Lisie Lillianfeld, Katie Seaver, Jordan R. Green, Michael P. Brenner, Philip C. Nelson, D. Sculley
2021	A	`conf`	Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases. Interspeech 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
2021	J	`jnl`	Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases. CoRR Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner
2021	A	`conf`	Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases. Interspeech Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner
2021	A	`conf`	Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia. Interspeech 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
2021	J	`jnl`	Machine learning accelerated computational fluid dynamics. CoRR Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer
2021	J	`jnl`	Programming cell growth into different cluster shapes using diffusible signals. PLoS Comput. Biol. Yipei Guo, Mor Nitzan, Michael P. Brenner
2021	J	`jnl`	Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images. CoRR Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon M. Kleinberg
2021	A*	`conf`	Variational Data Assimilation with a Learned Inverse Observation Operator. ICML Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer
2021	J	`jnl`	Variational Data Assimilation with a Learned Inverse Observation Operator. CoRR Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer
2020	—	`conf`	Scientific Discovery by Generating Counterfactuals Using Image Translation. MICCAI (1) 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
2020	J	`jnl`	Scientific Discovery by Generating Counterfactuals using Image Translation. CoRR 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
2019	J	`jnl`	It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets. CoRR 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
2019	A	`conf`	Personalizing ASR for Dysarthric and Accented Speech with Limited Data. INTERSPEECH 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
2019	J	`jnl`	Personalizing ASR for Dysarthric and Accented Speech with Limited Data. CoRR 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
2018	J	`jnl`	Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry. CoRR Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell
2015	—	`conf`	Adaptation of fluid flow in the slime mould Physarum polycephalum. BICT Karen Alim, Gabriel Amselem, François Peaudecerf, Anne Pringle, Michael P. Brenner
2011	J	`jnl`	Deriving Finite Sphere Packings. SIAM J. Discret. Math. Natalie Arkus, Vinothan N. Manoharan, Michael P. Brenner
2010	J	`jnl`	Charge as a Selection Criterion for Translocation through the Nuclear Pore Complex. PLoS Comput. Biol. Lucy J. Colwell, Michael P. Brenner, Katharina Ribbeck
2009	J	`jnl`	Action Potential Initiation in the Hodgkin-Huxley Model. PLoS Comput. Biol. Lucy J. Colwell, Michael P. Brenner
2007	J	`jnl`	Excitability Constraints on Voltage-Gated Sodium Channels. PLoS Comput. Biol. Elaine Angelino, Michael P. Brenner