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ORCIDEli 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 - [i23]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 abs/2405.06605 (2024) - [i22]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) - [i21]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) - [i20]Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R. Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang:
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. CoRR abs/2410.21611 (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, 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) - [j10]Rahul Biswas, Eli Shlizerman:
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, Eli Shlizerman:
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, Eli Shlizerman:
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, Eli Shlizerman:
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, Eli Shlizerman:
Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements. CoRR abs/2012.03478 (2020)
2010 – 2019
- 2019
- [j8]Jimin Kim, William Leahy, Eli Shlizerman:
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, Eli Shlizerman:
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. CoRR abs/1911.12409 (2019) - 2018
- [c1]Eli Shlizerman, Lucio M. Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman:
Audio to Body Dynamics. CVPR 2018: 7574-7583 - 2017
- [j7]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: 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, 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: 70 (2014) - 2012
- [j4]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): 2078-2118 (2012) - [j3]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): 1033-1061 (2012) - [j2]Eli Shlizerman, Konrad Schroder, J. Nathan Kutz:
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, Michael I. Weinstein:
Symmetry-Breaking Bifurcation in Nonlinear Schrödinger/Gross-Pitaevskii Equations. SIAM J. Math. Anal. 40(2): 566-604 (2008)
Coauthor Index
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last updated on 2024-12-03 20:32 CET by the dblp team
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