Michael R DeWeese

About Michael R DeWeese

Michael R DeWeese, With an exceptional h-index of 33 and a recent h-index of 25 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Systems Neuroscience, Information Theory, Nonequilibrium Statistical Mechanics, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Beyond Linear Response: Equivalence between Thermodynamic Geometry and Optimal Transport

QGASS: a gradient-free stochastic feedback control approach for arbitrary open quantum systems

Time-Asymmetric Protocol Optimization for Efficient Free Energy Estimation

Shortcut engineering of active matter: run-and-tumble particles

The eigenlearning framework: A conservation law perspective on kernel ridge regression and wide neural networks

Symmetries and isometries of the thermodynamic metric

Early selection of task-relevant features through population gating

Learning quantum-state feedback control with backpropagation-free stochastic optimization

Michael R DeWeese Information

University

Position

Associate Professor of Physics and Neuroscience

Citations(all)

4759

Citations(since 2020)

1881

Cited By

3637

hIndex(all)

33

hIndex(since 2020)

25

i10Index(all)

46

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Michael R DeWeese Skills & Research Interests

Systems Neuroscience

Information Theory

Nonequilibrium Statistical Mechanics

Machine Learning

Top articles of Michael R DeWeese

Beyond Linear Response: Equivalence between Thermodynamic Geometry and Optimal Transport

arXiv preprint arXiv:2404.01286

2024/4/1

Michael R Deweese
Michael R Deweese

H-Index: 23

QGASS: a gradient-free stochastic feedback control approach for arbitrary open quantum systems

Bulletin of the American Physical Society

2024/3/7

Time-Asymmetric Protocol Optimization for Efficient Free Energy Estimation

arXiv preprint arXiv:2304.12287

2023/4/24

Benjamin Kuznets-Speck
Benjamin Kuznets-Speck

H-Index: 2

Michael R Deweese
Michael R Deweese

H-Index: 23

Shortcut engineering of active matter: run-and-tumble particles

arXiv preprint arXiv:2304.06023

2023/4/12

Michael R Deweese
Michael R Deweese

H-Index: 23

The eigenlearning framework: A conservation law perspective on kernel ridge regression and wide neural networks

Transactions on Machine Learning Research

2023/2/27

Symmetries and isometries of the thermodynamic metric

APS March Meeting Abstracts

2023

Early selection of task-relevant features through population gating

Nature Communications

2023/10/27

Learning quantum-state feedback control with backpropagation-free stochastic optimization

Physical Review A

2022/11/3

Ziyi Wang
Ziyi Wang

H-Index: 3

Michael R Deweese
Michael R Deweese

H-Index: 23

Limited-control optimal protocols arbitrarily far from equilibrium

Physical Review E

2022/10/25

Michael R Deweese
Michael R Deweese

H-Index: 23

Flexible selection of task-relevant features through population gating

BioRxiv

2022/7/22

Reverse engineering the neural tangent kernel

2022/6/28

Geometric bound on the efficiency of irreversible thermodynamic cycles

Physical Review Letters

2022/6/8

Michael R Deweese
Michael R Deweese

H-Index: 23

Optimal finite-time Brownian Carnot engine

Physical Review E

2022/5/20

Michael R Deweese
Michael R Deweese

H-Index: 23

Solution to the Fokker-Planck equation for slowly driven Brownian motion: Emergent geometry and a formula for the corresponding thermodynamic metric

Physical Review E

2022/3/21

Michael R Deweese
Michael R Deweese

H-Index: 23

Sparse coding models predict a spectral bias in the development of primary visual cortex (V1) receptive fields

bioRxiv

2022/3/19

Andrew Ligeralde
Andrew Ligeralde

H-Index: 4

Michael R Deweese
Michael R Deweese

H-Index: 23

Hydrogel Actuated Carbon Fiber Microelectrode Array

2022

Stochastic optimization for learning quantum state feedback control

arXiv preprint arXiv:2111.09896

2021/11/18

Ziyi Wang
Ziyi Wang

H-Index: 3

Michael R Deweese
Michael R Deweese

H-Index: 23

Neural tangent kernel eigenvalues accurately predict generalization

2021/10/6

Critical point-finding methods reveal gradient-flat regions of deep network losses

Neural computation

2021/5/13

Andrew Ligeralde
Andrew Ligeralde

H-Index: 4

Michael R Deweese
Michael R Deweese

H-Index: 23

Engineered swift equilibration for arbitrary geometries

Physical Review E

2021/3/5

Michael R Deweese
Michael R Deweese

H-Index: 23

See List of Professors in Michael R DeWeese University(University of California, Berkeley)