Excitability Constraints on Voltage-Gated Sodium Channels. - Elaine Angelino; Michael P. Brenner (PLoS Comput. Biol., 2007)

Action Potential Initiation in the Hodgkin-Huxley Model. - Lucy J. Colwell; Michael P. Brenner (PLoS Comput. Biol., 2009)

Charge as a Selection Criterion for Translocation through the Nuclear Pore Complex. - Lucy J. Colwell; Michael P. Brenner; Katharina Ribbeck (PLoS Comput. Biol., 2010)

Deriving Finite Sphere Packings. - Natalie Arkus; Vinothan N. Manoharan; Michael P. Brenner (SIAM J. Discret. Math., 2011)

Adaptation of fluid flow in the slime mould Physarum polycephalum. - Karen Alim; Gabriel Amselem; François Peaudecerf; Anne Pringle; Michael P. Brenner (BICT, 2015)

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)

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 (INTERSPEECH, 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; et al. (CoRR, 2019)

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 (MICCAI (1), 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; et al. (CoRR, 2020)

Variational Data Assimilation with a Learned Inverse Observation Operator. - Thomas Frerix; Dmitrii Kochkov; Jamie A. Smith; Daniel Cremers; Michael P. Brenner; Stephan Hoyer (ICML, 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 (Interspeech, 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 (Interspeech, 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 (Interspeech, 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 (Interspeech, 2021)

Machine learning accelerated computational fluid dynamics. - Dmitrii Kochkov; Jamie A. Smith; Ayya Alieva; Qing Wang; Michael P. Brenner; Stephan Hoyer (CoRR, 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)

Programming cell growth into different cluster shapes using diffusible signals. - Yipei Guo; Mor Nitzan; Michael P. Brenner (PLoS Comput. Biol., 2021)

Context-Aware Abbreviation Expansion Using Large Language Models. - Shanqing Cai; Subhashini Venugopalan; Katrin Tomanek; Ajit Narayanan; Meredith Ringel Morris; Michael P. Brenner (NAACL-HLT, 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)

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 (ICASSP, 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; et al. (CoRR, 2023)

Neural General Circulation Models. - Dmitrii Kochkov; Janni Yuval; Ian Langmore; Peter C. Norgaard; Jamie A. Smith; Griffin Mooers; James Lottes; Stephan Rasp 001; Peter D. Düben; Milan Klöwer; Sam Hatfield; Peter W. Battaglia; et al. (CoRR, 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; et al. (CoRR, 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)

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)

Engineering morphogenesis of cell clusters with differentiable programming. - Ramya Deshpande; Francesco Mottes; Ariana-Dalia Vlad; Michael P. Brenner; Alma dal Co (CoRR, 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 001; Peter D. Düben; Sam Hatfield; Peter W. Battaglia; et al. (Nat., 2024)

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 (ICLR, 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; et al. (CoRR, 2025)

Towards AI-assisted Academic Writing. - Daniel J. Liebling; Malcolm Kane; Madeleine Grunde-McLaughlin; Ian J. Lang; Subhashini Venugopalan; Michael P. Brenner (CoRR, 2025)

FEABench: Evaluating Language Models on Multiphysics Reasoning Ability. - Nayantara Mudur; Hao Cui; Subhashini Venugopalan; Paul Raccuglia; Michael P. Brenner; Peter C. Norgaard (CoRR, 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; et al. (CoRR, 2025)