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Eli Shlizerman
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2020 – today
- 2024
- [j12]Jingyuan Li, Trung Le, Eli Shlizerman:
AL-SAR: Active Learning for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16966-16974 (2024) - [c14]Kun Su, Xiulong Liu, Eli Shlizerman:
From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation. ICML 2024 - [c13]Xiulong Liu
, Kun Su, Eli Shlizerman:
Let the Beat Follow You - Creating Interactive Drum Sounds From Body Rhythm. WACV 2024: 7162-7172 - [i22]Qibin Liu, Chase Shimmin, Xiulong Liu
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation. CoRR abs/2405.06605 (2024) - [i21]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 abs/2406.06534 (2024) - [i20]Kun Su, Xiulong Liu, Eli Shlizerman:
From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation. CoRR abs/2409.19132 (2024) - 2023
- [c12]Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan:
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CVPR 2023: 9749-9759 - [c11]Mingfei Chen, Kun Su, Eli Shlizerman:
Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples. ICCV 2023: 7819-7828 - [c10]Jinlin Xiang, Eli Shlizerman:
TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning. ICCV (Workshops) 2023: 3521-3531 - [c9]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 - [c8]Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül:
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. NeurIPS 2023 - [c7]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: 1-6 - [i19]Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan:
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CoRR abs/2303.16897 (2023) - [i18]Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül:
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. CoRR abs/2311.02258 (2023) - [i17]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 abs/2311.10869 (2023) - 2022
- [j11]Ryan Vogt
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools. Frontiers Appl. Math. Stat. 8 (2022) - [j10]Rahul Biswas
Statistical perspective on functional and causal neural connectomics: The Time-Aware PC algorithm. PLoS Comput. Biol. 18(11): 1010653 (2022) - [c6]Trung Le, Eli Shlizerman:
STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers. NeurIPS 2022 - [c5]Kun Su, Mingfei Chen, Eli Shlizerman:
INRAS: Implicit Neural Representation for Audio Scenes. NeurIPS 2022 - [i16]Ryan Vogt, Yang Zheng
Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks. CoRR abs/2204.04876 (2022) - [i15]Trung Le, Eli Shlizerman:
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer. CoRR abs/2206.04727 (2022) - [i14]Jinlin Xiang, Eli Shlizerman:
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning. CoRR abs/2206.08492 (2022) - 2021
- [c4]Kun Su, Xiulong Liu, Eli Shlizerman:
How Does it Sound? NeurIPS 2021: 29258-29273 - [i13]Jinlin Xiang, Shane Colburn, Arka Majumdar, Eli Shlizerman:
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks. CoRR abs/2102.13323 (2021) - 2020
- [j9]Kun Su, Eli Shlizerman:
Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks. Frontiers Artif. Intell. 3: 70 (2020) - [c3]Kun Su, Xiulong Liu
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. CVPR 2020: 9628-9637 - [c2]Kun Su, Xiulong Liu, Eli Shlizerman:
Audeo: Audio Generation for a Silent Performance Video. NeurIPS 2020 - [i12]Yang Zheng, Eli Shlizerman:
R-FORCE: Robust Learning for Random Recurrent Neural Networks. CoRR abs/2003.11660 (2020) - [i11]Jingyuan Li, Eli Shlizerman:
Iterate & Cluster: Iterative Semi-Supervised Action Recognition. CoRR abs/2006.06911 (2020) - [i10]Jimin Kim, Eli Shlizerman:
Deep Reinforcement Learning for Neural Control. CoRR abs/2006.07352 (2020) - [i9]Yang Zheng, Jinlin Xiang, Kun Su, Eli Shlizerman:
BI-MAML: Balanced Incremental Approach for Meta Learning. CoRR abs/2006.07412 (2020) - [i8]Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman, Guillaume Lajoie:
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools. CoRR abs/2006.14123 (2020) - [i7]Kun Su, Xiulong Liu
Audeo: Audio Generation for a Silent Performance Video. CoRR abs/2006.14348 (2020) - [i6]Jingyuan Li, Eli Shlizerman:
Sparse Semi-Supervised Action Recognition with Active Learning. CoRR abs/2012.01740 (2020) - [i5]Kun Su, Xiulong Liu
Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements. CoRR abs/2012.03478 (2020)
2010 – 2019
- 2019
- [j8]Jimin Kim
Neural Interactome: Interactive Simulation of a Neuronal System. Frontiers Comput. Neurosci. 13: 8 (2019) - [i4]Shane Colburn, Yi Chu, Eli Shlizerman, Arka Majumdar:
An Optical Frontend for a Convolutional Neural Network. CoRR abs/1901.03661 (2019) - [i3]Kun Su, Eli Shlizerman
Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks. CoRR abs/1905.12176 (2019) - [i2]Kun Su, Xiulong Liu
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. CoRR abs/1911.12409 (2019) - 2018
- [c1]Eli Shlizerman
Audio to Body Dynamics. CVPR 2018: 7574-7583 - 2017
- [j7]James M. Kunert-Graf, Eli Shlizerman
Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics. Frontiers Comput. Neurosci. 11: 53 (2017) - [j6]David Blaszka, Elischa Sanders, Jeffrey Riffell, Eli Shlizerman
Classification of Fixed Point Network Dynamics from Multiple Node Timeseries Data. Frontiers Neuroinformatics 11: 58 (2017) - [i1]Eli Shlizerman, Lucio M. Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman:
Audio to Body Dynamics. CoRR abs/1712.09382 (2017) - 2014
- [j5]Eli Shlizerman
Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe. Frontiers Comput. Neurosci. 8: 70 (2014) - 2012
- [j4]Eli Shlizerman
Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior. Neural Comput. 24(8): 2078-2118 (2012) - [j3]Matthew O. Williams, Eli Shlizerman
The Low Dimensionality of Time-Periodic Standing Waves in Water of Finite and Infinite Depth. SIAM J. Appl. Dyn. Syst. 11(3): 1033-1061 (2012) - [j2]Eli Shlizerman
Neural Activity Measures and Their Dynamics. SIAM J. Appl. Math. 72(4): 1260-1291 (2012)
2000 – 2009
- 2008
- [j1]E. W. Kirr, P. G. Kevrekidis, Eli Shlizerman
Symmetry-Breaking Bifurcation in Nonlinear Schrödinger/Gross-Pitaevskii Equations. SIAM J. Math. Anal. 40(2): 566-604 (2008)
Coauthor Index
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