Eli Shlizerman

Eli Shlizerman

University of Washington

H-index: 22

North America-United States

About Eli Shlizerman

Eli Shlizerman, With an exceptional h-index of 22 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Neural Networks, AI systems, Systems Neuroscience, Data-driven Modeling, Dynamical Systems.

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

Let the Beat Follow You-Creating Interactive Drum Sounds From Body Rhythm

AL-SAR: Active Learning for Skeleton-based Action Recognition

To reverse engineer an entire nervous system

Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics

Comparison of Deep Learning and Signal Processing Methods for Removing a Ringing Artifact from Ultrasound Signals

ElectroPhysiomeGAN: Generation of Biophysical Neuron Model Parameters from Recorded Electrophysiological Responses

Be Everywhere-Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples

Eli Shlizerman Information

University

Position

Assistant Professor of AMATH & ECE WRF Professor

Citations(all)

1539

Citations(since 2020)

1045

Cited By

812

hIndex(all)

22

hIndex(since 2020)

15

i10Index(all)

33

i10Index(since 2020)

25

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Eli Shlizerman Skills & Research Interests

Neural Networks

AI systems

Systems Neuroscience

Data-driven Modeling

Dynamical Systems

Top articles of Eli Shlizerman

Title

Journal

Author(s)

Publication Date

Let the Beat Follow You-Creating Interactive Drum Sounds From Body Rhythm

Xiulong Liu

Kun Su

Eli Shlizerman

2024

AL-SAR: Active Learning for Skeleton-based Action Recognition

IEEE Transactions on Neural Networks and Learning Systems

Jingyuan Li

Trung Le

Shlizerman Eli

2023/8/15

To reverse engineer an entire nervous system

arXiv preprint arXiv:2308.06578

Gal Haspel

Edward S Boyden

Jeffrey Brown

George Church

Netta Cohen

...

2023/8/12

Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

arXiv preprint arXiv:2311.10869

James Hazelden

Yuhan Helena Liu

Eli Shlizerman

Eric Shea-Brown

2023/11/17

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics

Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Lu Mi*

Trung Le*

Tianxing He

Eli Shlizerman

Uygar Sümbül

2023/11/3

Comparison of Deep Learning and Signal Processing Methods for Removing a Ringing Artifact from Ultrasound Signals

Yana Sosnovskaya

Eli Shlizerman

Blake Hannaford

Mika N Sinanan

2023/7/18

ElectroPhysiomeGAN: Generation of Biophysical Neuron Model Parameters from Recorded Electrophysiological Responses

bioRxiv

Jimin Kim

Qiang Liu

Eli Shlizerman

2023

Be Everywhere-Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples

Mingfei Chen

Kun Su

Eli Shlizerman

2023

Physics-driven diffusion models for impact sound synthesis from videos

Kun Su

Kaizhi Qian

Eli Shlizerman

Antonio Torralba

Chuang Gan

2023

AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity

Advances in Neural Information Processing Systems

Jingyuan Li

Leo Scholl

Trung Le

Pavithra Rajeswaran

Amy Orsborn

...

2024/2/13

TKIL: tangent kernel approach for class balanced incremental learning

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops

Jinlin Xiang

Eli Shlizerman

2023

Linking Finite-Time Lyapunov Exponents to RNN Gradient Subspaces and Input Sensitivity

Ryan Vogt

Eli Shlizerman

Guillaume Lajoie

2023/10/13

Statistical perspective on functional and causal neural connectomics: The Time-Aware PC algorithm

PLOS Computational Biology

Rahul Biswas

Eli Shlizerman

2022/11/14

OpenLabCluster: Active learning based clustering and classification of animal behaviors in videos based on automatically extracted kinematic body keypoints

Biorxiv

Jingyuan Li

Moishe Keselman

Eli Shlizerman

2022/10/13

Hyperpruning: Efficient pruning through Lyapunov metric hypersearch

Yang Zheng

Eli Shlizerman

2022/9/29

STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer

Advances in Neural Information Processing Systems 2022

Trung Le

Eli Shlizerman

2022/6/9

Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks

arXiv preprint arXiv:2204.04876

Ryan Vogt

Yang Zheng

Eli Shlizerman

2022/4/11

INRAS: Implicit Neural Representation for Audio Scenes

Advances in Neural Information Processing Systems 2022

Mingfei Chen

Kun Su

Eli Shlizerman

2022/12

On lyapunov exponents for rnns: Understanding information propagation using dynamical systems tools

Frontiers in Applied Mathematics and Statistics

Ryan Vogt

Maximilian Puelma Touzel

Eli Shlizerman

Guillaume Lajoie

2022/3/2

How does it sound? Generation of rhythmic soundtracks for human movement videos

Advances in Neural Information Processing Systems

Kun Su

Xiulong Liu

Eli Shlizerman

2021/12/6

See List of Professors in Eli Shlizerman University(University of Washington)

Co-Authors

H-index: 111
Steven M Reppert

Steven M Reppert

University of Massachusetts Medical School

H-index: 82
Panayotis Kevrekidis

Panayotis Kevrekidis

University of Massachusetts Amherst

H-index: 53
Arka Majumdar

Arka Majumdar

University of Washington

H-index: 52
Michael I Weinstein

Michael I Weinstein

Columbia University in the City of New York

H-index: 39
Jeffrey A Riffell

Jeffrey A Riffell

University of Washington

H-index: 25
Vered Rom-Kedar

Vered Rom-Kedar

Weizmann Institute of Science

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