Michael P. Brenner

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 25

Top Topics

Neural Network Model

Automatic Speech Recognition

Top Venues

Publications

Ramya Deshpande, Francesco Mottes, Ariana-Dalia Vlad, Michael P. Brenner, Alma dal Co
Engineering morphogenesis of cell clusters with differentiable programming. CoRR (2024)
Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim
Quantum Many-Body Physics Calculations with Large Language Models. CoRR (2024)
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
Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments. CoRR (2023)
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
Speech Intelligibility Classifiers from 550k Disordered Speech Samples. ICASSP (2023)
Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
Learning to correct spectral methods for simulating turbulent flows. Trans. Mach. Learn. Res. 2023 (2023)
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
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR (2023)
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
Speech Intelligibility Classifiers from 550k Disordered Speech Samples. CoRR (2023)
Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter 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
Neural General Circulation Models. CoRR (2023)
Fernando Vieira, Subhashini Venugopalan, Alan S. Premasiri, Maeve McNally, Aren Jansen, Kevin McCloskey, Michael P. Brenner, Steven Perrin
A machine-learning based objective measure for ALS disease severity. npj Digit. Medicine 5 (2022)
Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner
Context-Aware Abbreviation Expansion Using Large Language Models. CoRR (2022)
Gideon Dresdner, Dmitrii Kochkov, Peter Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer
Learning to correct spectral methods for simulating turbulent flows. CoRR (2022)
Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner
Context-Aware Abbreviation Expansion Using Large Language Models. NAACL-HLT (2022)
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
Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases. Interspeech (2021)
Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer
Machine learning accelerated computational fluid dynamics. CoRR (2021)
Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner
Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases. CoRR (2021)
Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner
Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases. Interspeech (2021)
Yipei Guo, Mor Nitzan, Michael P. Brenner
Programming cell growth into different cluster shapes using diffusible signals. PLoS Comput. Biol. 17 (11) (2021)
Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer
Variational Data Assimilation with a Learned Inverse Observation Operator. CoRR (2021)
Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer
Variational Data Assimilation with a Learned Inverse Observation Operator. ICML (2021)
Shanqing Cai, Lisie Lillianfeld, Katie Seaver, Jordan R. Green, Michael P. Brenner, Philip C. Nelson, D. Sculley
A Voice-Activated Switch for Persons with Motor and Speech Impairments: Isolated-Vowel Spotting Using Neural Networks. Interspeech (2021)
Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon M. Kleinberg
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images. CoRR (2021)
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
Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia. Interspeech (2021)
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
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. CoRR (2019)
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
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. INTERSPEECH (2019)
Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry. CoRR (2018)
Karen Alim, Gabriel Amselem, François Peaudecerf, Anne Pringle, Michael P. Brenner
Adaptation of fluid flow in the slime mould Physarum polycephalum. BICT (2015)
Natalie Arkus, Vinothan N. Manoharan, Michael P. Brenner
Deriving Finite Sphere Packings. SIAM J. Discret. Math. 25 (4) (2011)
Lucy J. Colwell, Michael P. Brenner, Katharina Ribbeck
Charge as a Selection Criterion for Translocation through the Nuclear Pore Complex. PLoS Comput. Biol. 6 (4) (2010)
Lucy J. Colwell, Michael P. Brenner
Action Potential Initiation in the Hodgkin-Huxley Model. PLoS Comput. Biol. 5 (1) (2009)
Elaine Angelino, Michael P. Brenner
Excitability Constraints on Voltage-Gated Sodium Channels. PLoS Comput. Biol. 3 (9) (2007)