Eli Shlizerman

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 40

Top Topics

Lyapunov Exponents

Action Recognition

Diffusion Models

Top Venues

Frontiers Comput. Neurosci.

Publications

Qibin Liu, Chase Shimmin, Xiulong Liu, Eli Shlizerman, Shu Li, Shih-Chieh Hsu
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation. CoRR (2024)
Anna Wirth-Singh, Jinlin Xiang, Minho Choi, Johannes E. Fröch, Luocheng Huang, Shane Colburn, Eli Shlizerman, Arka Majumdar
Compressed Meta-Optical Encoder for Image Classification. CoRR (2024)
Xiulong Liu, Kun Su, Eli Shlizerman
Let the Beat Follow You - Creating Interactive Drum Sounds From Body Rhythm. WACV (2024)
Mingfei Chen, Kun Su, Eli Shlizerman
Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples. ICCV (2023)
Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CVPR (2023)
James Hazelden, Yuhan Helena Liu, Eli Shlizerman, Eric Shea-Brown
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs. CoRR (2023)
Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CoRR (2023)
Jinlin Xiang, Eli Shlizerman
TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning. ICCV (Workshops) (2023)
Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. NeurIPS (2023)
Yana Sosnovskaya, Eli Shlizerman, Blake Hannaford, Mika N. Sinanan
Comparison of Deep Learning and Signal Processing Methods for Removing a Ringing Artifact from Ultrasound Signals. SAS (2023)
Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. CoRR (2023)
Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy Orsborn, Eli Shlizerman
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity. NeurIPS (2023)
Rahul Biswas, Eli Shlizerman
Statistical perspective on functional and causal neural connectomics: The Time-Aware PC algorithm. PLoS Comput. Biol. 18 (11) (2022)
Ryan Vogt, Yang Zheng, Eli Shlizerman
Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks. CoRR (2022)
Jinlin Xiang, Eli Shlizerman
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning. CoRR (2022)
Trung Le, Eli Shlizerman
STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers. NeurIPS (2022)
Trung Le, Eli Shlizerman
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer. CoRR (2022)
Kun Su, Mingfei Chen, Eli Shlizerman
INRAS: Implicit Neural Representation for Audio Scenes. NeurIPS (2022)
Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman, Guillaume Lajoie
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools. Frontiers Appl. Math. Stat. 8 (2022)
Jinlin Xiang, Shane Colburn, Arka Majumdar, Eli Shlizerman
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks. CoRR (2021)
Kun Su, Xiulong Liu, Eli Shlizerman
How Does it Sound? NeurIPS (2021)
Kun Su, Xiulong Liu, Eli Shlizerman
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. CVPR (2020)
Yang Zheng, Eli Shlizerman
R-FORCE: Robust Learning for Random Recurrent Neural Networks. CoRR (2020)
Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman, Guillaume Lajoie
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools. CoRR (2020)
Kun Su, Xiulong Liu, Eli Shlizerman
Audeo: Audio Generation for a Silent Performance Video. NeurIPS (2020)
Yang Zheng, Jinlin Xiang, Kun Su, Eli Shlizerman
BI-MAML: Balanced Incremental Approach for Meta Learning. CoRR (2020)
Kun Su, Xiulong Liu, Eli Shlizerman
Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements. CoRR (2020)
Jimin Kim, Eli Shlizerman
Deep Reinforcement Learning for Neural Control. CoRR (2020)
Jingyuan Li, Eli Shlizerman
Iterate & Cluster: Iterative Semi-Supervised Action Recognition. CoRR (2020)
Jingyuan Li, Eli Shlizerman
Sparse Semi-Supervised Action Recognition with Active Learning. CoRR (2020)
Kun Su, Eli Shlizerman
Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks. Frontiers Artif. Intell. 3 (2020)
Kun Su, Xiulong Liu, Eli Shlizerman
Audeo: Audio Generation for a Silent Performance Video. CoRR (2020)
Jimin Kim, William Leahy, Eli Shlizerman
Neural Interactome: Interactive Simulation of a Neuronal System. Frontiers Comput. Neurosci. 13 (2019)
Kun Su, Eli Shlizerman
Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks. CoRR (2019)
Kun Su, Xiulong Liu, Eli Shlizerman
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. CoRR (2019)
Shane Colburn, Yi Chu, Eli Shlizerman, Arka Majumdar
An Optical Frontend for a Convolutional Neural Network. CoRR (2019)
Eli Shlizerman, Lucio M. Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman
Audio to Body Dynamics. CVPR (2018)
Eli Shlizerman, Lucio M. Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman
Audio to Body Dynamics. CoRR (2017)
David Blaszka, Elischa Sanders, Jeffrey Riffell, Eli Shlizerman
Classification of Fixed Point Network Dynamics from Multiple Node Timeseries Data. Frontiers Neuroinformatics 11 (2017)
James M. Kunert-Graf, Eli Shlizerman, Andrew Walker, J. Nathan Kutz
Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics. Frontiers Comput. Neurosci. 11 (2017)
Eli Shlizerman, Jeffrey Riffell, J. Nathan Kutz
Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe. Frontiers Comput. Neurosci. 8 (2014)
Eli Shlizerman, Philip Holmes
Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior. Neural Comput. 24 (8) (2012)
Eli Shlizerman, Konrad Schroder, J. Nathan Kutz
Neural Activity Measures and Their Dynamics. SIAM J. Appl. Math. 72 (4) (2012)
Matthew O. Williams, Eli Shlizerman, Jon Wilkening, J. Nathan Kutz
The Low Dimensionality of Time-Periodic Standing Waves in Water of Finite and Infinite Depth. SIAM J. Appl. Dyn. Syst. 11 (3) (2012)
E. W. Kirr, P. G. Kevrekidis, Eli Shlizerman, Michael I. Weinstein
Symmetry-Breaking Bifurcation in Nonlinear Schrödinger/Gross-Pitaevskii Equations. SIAM J. Math. Anal. 40 (2) (2008)