Michael P. Brenner

Orcid: 0000-0002-5673-7947

Affiliations:
  • Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA


According to our database1, Michael P. Brenner authored at least 26 papers between 2007 and 2024.

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Bibliography

2024
Quantum Many-Body Physics Calculations with Large Language Models.
CoRR, 2024

2023
Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments.
CoRR, 2023

Neural General Circulation Models.
CoRR, 2023

The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models.
CoRR, 2023

Speech Intelligibility Classifiers from 550k Disordered Speech Samples.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A machine-learning based objective measure for ALS disease severity.
npj Digit. Medicine, 2022

Learning to correct spectral methods for simulating turbulent flows.
CoRR, 2022

Context-Aware Abbreviation Expansion Using Large Language Models.
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.
PLoS Comput. Biol., 2021

Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images.
CoRR, 2021

Machine learning accelerated computational fluid dynamics.
CoRR, 2021

Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

A Voice-Activated Switch for Persons with Motor and Speech Impairments: Isolated-Vowel Spotting Using Neural Networks.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Variational Data Assimilation with a Learned Inverse Observation Operator.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Scientific Discovery by Generating Counterfactuals using Image Translation.
CoRR, 2020

Scientific Discovery by Generating Counterfactuals Using Image Translation.
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.
CoRR, 2019

Personalizing ASR for Dysarthric and Accented Speech with Limited Data.
Proceedings of the Interspeech 2019, 2019

2018
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry.
CoRR, 2018

2015
Adaptation of fluid flow in the slime mould Physarum polycephalum.
Proceedings of the BICT 2015, 2015

2011
Deriving Finite Sphere Packings.
SIAM J. Discret. Math., 2011

2010
Charge as a Selection Criterion for Translocation through the Nuclear Pore Complex.
PLoS Comput. Biol., 2010

2009
Action Potential Initiation in the Hodgkin-Huxley Model.
PLoS Comput. Biol., 2009

2007
Excitability Constraints on Voltage-Gated Sodium Channels.
PLoS Comput. Biol., 2007


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