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ORCIDMichael P. Brenner
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- affiliation: Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
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2020 – today
- 2024
[j8]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:
Neural general circulation models for weather and climate. Nat. 632(8027): 1060-1066 (2024)- [i16]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 abs/2403.03154 (2024) - [i15]Ramya Deshpande, Francesco Mottes, Ariana-Dalia Vlad, Michael P. Brenner, Alma dal Co:
Engineering morphogenesis of cell clusters with differentiable programming. CoRR abs/2407.06295 (2024) - 2023
- [j7]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) - [c10]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: 1-5 - [i14]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 abs/2303.07533 (2023) - [i13]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 abs/2310.07106 (2023) - [i12]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:
Neural General Circulation Models. CoRR abs/2311.07222 (2023) - [i11]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 abs/2312.01532 (2023) - 2022
- [j6]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) - [c9]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: 1261-1275 - [i10]Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner:
Context-Aware Abbreviation Expansion Using Large Language Models. CoRR abs/2205.03767 (2022) - [i9]Gideon Dresdner, Dmitrii Kochkov, Peter C. Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer:
Learning to correct spectral methods for simulating turbulent flows. CoRR abs/2207.00556 (2022) - 2021
- [j5]Yipei Guo, Mor Nitzan, Michael P. Brenner:
Programming cell growth into different cluster shapes using diffusible signals. PLoS Comput. Biol. 17(11) (2021) - [c8]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: 3449-3458 - [c7]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: 4778-4782 - [c6]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: 4823-4827 - [c5]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: 4833-4837 - [c4]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: 4843-4847 - [i8]Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer:
Machine learning accelerated computational fluid dynamics. CoRR abs/2102.01010 (2021) - [i7]Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer:
Variational Data Assimilation with a Learned Inverse Observation Operator. CoRR abs/2102.11192 (2021) - [i6]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 abs/2107.03985 (2021) - [i5]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 abs/2107.11468 (2021) - 2020
- [c3]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:
Scientific Discovery by Generating Counterfactuals Using Image Translation. MICCAI (1) 2020: 273-283 - [i4]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:
Scientific Discovery by Generating Counterfactuals using Image Translation. CoRR abs/2007.05500 (2020)
2010 – 2019
- 2019
- [c2]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: 784-788 - [i3]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 abs/1907.13511 (2019) - [i2]Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel J. Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael P. Brenner, Lee Rubin, Brian Wainger, Marc Berndl:
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets. CoRR abs/1912.07661 (2019) - 2018
- [i1]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 abs/1811.11310 (2018) - 2015
- [c1]Karen Alim, Gabriel Amselem, François Peaudecerf, Anne Pringle, Michael P. Brenner:
Adaptation of fluid flow in the slime mould Physarum polycephalum. BICT 2015: 605 - 2011
- [j4]Natalie Arkus, Vinothan N. Manoharan, Michael P. Brenner:
Deriving Finite Sphere Packings. SIAM J. Discret. Math. 25(4): 1860-1901 (2011) - 2010
- [j3]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)
2000 – 2009
- 2009
- [j2]Lucy J. Colwell, Michael P. Brenner:
Action Potential Initiation in the Hodgkin-Huxley Model. PLoS Comput. Biol. 5(1) (2009) - 2007
- [j1]Elaine Angelino, Michael P. Brenner:
Excitability Constraints on Voltage-Gated Sodium Channels. PLoS Comput. Biol. 3(9) (2007)
Coauthor Index
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