Eli Shlizerman

68 papers A* 15A 1B 1Journal 50Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RPNT: Robust Pre-trained Neural Transformer - A Pathway for Generalized Motor Decoding. CoRR Hao Fang, Ryan A. Canfield, Tomohiro Ouchi, Beatrice Macagno, Eli Shlizerman, Amy L. Orsborn
2025	J	`jnl`	Flowing from Reasoning to Motion: Learning 3D Hand Trajectory Prediction from Egocentric Human Interaction Videos. CoRR Mingfei Chen, Yifan Wang, Zhengqin Li, Homanga Bharadhwaj, Yujin Chen, Chuan Qin, Ziyi Kou, Yuan Tian, Eric Whitmire, Rajinder Sodhi, Hrvoje Benko, Eli Shlizerman, Yue Liu
2025	A*	`conf`	Hearing Anywhere in Any Environment. CVPR Xiulong Liu, Anurag Kumar, Paul Calamia, Sebastià Vicenc Amengual Garí, Calvin Murdock, Ishwarya Ananthabhotla, Philip W. Robinson, Eli Shlizerman, Vamsi Krishna Ithapu, Ruohan Gao
2025	J	`jnl`	Hearing Anywhere in Any Environment. CoRR Xiulong Liu, Anurag Kumar, Paul Calamia, Sebastià Vicenc Amengual Garí, Calvin Murdock, Ishwarya Ananthabhotla, Philip W. Robinson, Eli Shlizerman, Vamsi Krishna Ithapu, Ruohan Gao
2025	J	`jnl`	Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum. CoRR Caleb Zheng, Eli Shlizerman
2025	J	`jnl`	IGSM: Improved Geometric and Sensitivity Matching for Finetuning Pruned Diffusion Models. CoRR Caleb Zheng, Eli Shlizerman
2025	J	`jnl`	KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks. CoRR James Hazelden, Laura Driscoll, Eli Shlizerman, Eric Shea-Brown
2025	J	`jnl`	Neural Tangent Knowledge Distillation for Optical Convolutional Networks. CoRR Jinlin Xiang, Minho Choi, Yubo Zhang, Zhihao Zhou, Arka Majumdar, Eli Shlizerman
2025	J	`jnl`	SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing. CoRR Mingfei Chen, Zijun Cui, Xiulong Liu, Jinlin Xiang, Caleb Zheng, Jingyuan Li, Eli Shlizerman
2025	J	`jnl`	SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding. CoRR Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L. Orsborn, Uygar Sümbül, Eli Shlizerman
2025	A*	`conf`	SoundVista: Novel-View Ambient Sound Synthesis via Visual-Acoustic Binding. CVPR Mingfei Chen, Israel D. Gebru, Ishwarya Ananthabhotla, Christian Richardt, Dejan Markovic, Jake Sandakly, Steven Krenn, Todd Keebler, Eli Shlizerman, Alexander Richard
2025	J	`jnl`	SoundVista: Novel-View Ambient Sound Synthesis via Visual-Acoustic Binding. CoRR Mingfei Chen, Israel D. Gebru, Ishwarya Ananthabhotla, Christian Richardt, Dejan Markovic, Jacob Sandakly, Steven Krenn, Todd Keebler, Eli Shlizerman, Alexander Richard
2024	J	`jnl`	AL-SAR: Active Learning for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. Jingyuan Li, Trung Le, Eli Shlizerman
2024	A*	`conf`	AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting. NeurIPS Mingfei Chen, Eli Shlizerman
2024	J	`jnl`	Brain-to-Text Benchmark '24: Lessons Learned. CoRR Francis R. Willett, Jingyuan Li, Trung Le, Chaofei Fan, Mingfei Chen, Eli Shlizerman, Yue Chen, Xin Zheng, Tatsuo S. Okubo, Tyler Benster, Hyun Dong Lee, Maxwell Kounga, Estefany Kelly Buchanan, David M. Zoltowski, Scott W. Linderman, Jaimie M. Henderson
2024	J	`jnl`	Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation. CoRR Qibin Liu, Chase Shimmin, Xiulong Liu, Eli Shlizerman, Shu Li, Shih-Chieh Hsu
2024	J	`jnl`	CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. CoRR 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
2024	J	`jnl`	Compressed Meta-Optical Encoder for Image Classification. CoRR Anna Wirth-Singh, Jinlin Xiang, Minho Choi, Johannes E. Fröch, Luocheng Huang, Shane Colburn, Eli Shlizerman, Arka Majumdar
2024	J	`jnl`	Correction: Lyapunov-guided representation of recurrent neural network performance. Neural Comput. Appl. Ryan Vogt, Yang Zheng, Eli Shlizerman
2024	A*	`conf`	From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation. ICML Kun Su, Xiulong Liu, Eli Shlizerman
2024	J	`jnl`	From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation. CoRR Kun Su, Xiulong Liu, Eli Shlizerman
2024	A	`conf`	Let the Beat Follow You - Creating Interactive Drum Sounds From Body Rhythm. WACV Xiulong Liu, Kun Su, Eli Shlizerman
2024	J	`jnl`	Lyapunov-guided representation of recurrent neural network performance. Neural Comput. Appl. Ryan Vogt, Yang Zheng, Eli Shlizerman
2024	A*	`conf`	Tell What You Hear From What You See - Video to Audio Generation Through Text. NeurIPS Xiulong Liu, Kun Su, Eli Shlizerman
2024	J	`jnl`	Tell What You Hear From What You See - Video to Audio Generation Through Text. CoRR Xiulong Liu, Kun Su, Eli Shlizerman
2024	J	`jnl`	Transferable polychromatic optical encoder for neural networks. CoRR Minho Choi, Jinlin Xiang, Anna Wirth-Singh, Seung-Hwan Baek, Eli Shlizerman, Arka Majumdar
2023	A*	`conf`	AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity. NeurIPS Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy L. Orsborn, Eli Shlizerman
2023	A*	`conf`	Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples. ICCV Mingfei Chen, Kun Su, Eli Shlizerman
2023	B	`conf`	Comparison of Deep Learning and Signal Processing Methods for Removing a Ringing Artifact from Ultrasound Signals. SAS Yana Sosnovskaya, Eli Shlizerman, Blake Hannaford, Mika N. Sinanan
2023	J	`jnl`	Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs. CoRR James Hazelden, Yuhan Helena Liu, Eli Shlizerman, Eric Shea-Brown
2023	A*	`conf`	Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. NeurIPS Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
2023	J	`jnl`	Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. CoRR Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
2023	A*	`conf`	Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CVPR Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan
2023	J	`jnl`	Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CoRR Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan
2023	—	`conf`	TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning. ICCV (Workshops) Jinlin Xiang, Eli Shlizerman
2022	A*	`conf`	INRAS: Implicit Neural Representation for Audio Scenes. NeurIPS Kun Su, Mingfei Chen, Eli Shlizerman
2022	J	`jnl`	Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks. CoRR Ryan Vogt, Yang Zheng, Eli Shlizerman
2022	J	`jnl`	On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools. Frontiers Appl. Math. Stat. Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman, Guillaume Lajoie
2022	A*	`conf`	STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers. NeurIPS Trung Le, Eli Shlizerman
2022	J	`jnl`	STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer. CoRR Trung Le, Eli Shlizerman
2022	J	`jnl`	Statistical perspective on functional and causal neural connectomics: The Time-Aware PC algorithm. PLoS Comput. Biol. Rahul Biswas, Eli Shlizerman
2022	J	`jnl`	TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning. CoRR Jinlin Xiang, Eli Shlizerman
2021	A*	`conf`	How Does it Sound? NeurIPS Kun Su, Xiulong Liu, Eli Shlizerman
2021	J	`jnl`	Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks. CoRR Jinlin Xiang, Shane Colburn, Arka Majumdar, Eli Shlizerman
2020	A*	`conf`	Audeo: Audio Generation for a Silent Performance Video. NeurIPS Kun Su, Xiulong Liu, Eli Shlizerman
2020	J	`jnl`	Audeo: Audio Generation for a Silent Performance Video. CoRR Kun Su, Xiulong Liu, Eli Shlizerman
2020	J	`jnl`	BI-MAML: Balanced Incremental Approach for Meta Learning. CoRR Yang Zheng, Jinlin Xiang, Kun Su, Eli Shlizerman
2020	J	`jnl`	Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks. Frontiers Artif. Intell. Kun Su, Eli Shlizerman
2020	J	`jnl`	Deep Reinforcement Learning for Neural Control. CoRR Jimin Kim, Eli Shlizerman
2020	J	`jnl`	Iterate & Cluster: Iterative Semi-Supervised Action Recognition. CoRR Jingyuan Li, Eli Shlizerman
2020	J	`jnl`	Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements. CoRR Kun Su, Xiulong Liu, Eli Shlizerman
2020	J	`jnl`	On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools. CoRR Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman, Guillaume Lajoie
2020	A*	`conf`	PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. CVPR Kun Su, Xiulong Liu, Eli Shlizerman
2020	J	`jnl`	R-FORCE: Robust Learning for Random Recurrent Neural Networks. CoRR Yang Zheng, Eli Shlizerman
2020	J	`jnl`	Sparse Semi-Supervised Action Recognition with Active Learning. CoRR Jingyuan Li, Eli Shlizerman
2019	J	`jnl`	An Optical Frontend for a Convolutional Neural Network. CoRR Shane Colburn, Yi Chu, Eli Shlizerman, Arka Majumdar
2019	J	`jnl`	Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks. CoRR Kun Su, Eli Shlizerman
2019	J	`jnl`	Neural Interactome: Interactive Simulation of a Neuronal System. Frontiers Comput. Neurosci. Jimin Kim, William Leahy, Eli Shlizerman
2019	J	`jnl`	PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. CoRR Kun Su, Xiulong Liu, Eli Shlizerman
2018	A*	`conf`	Audio to Body Dynamics. CVPR Eli Shlizerman, Lucio M. Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman
2017	J	`jnl`	Audio to Body Dynamics. CoRR Eli Shlizerman, Lucio M. Dery, Hayden Schoen, Ira Kemelmacher-Shlizerman
2017	J	`jnl`	Classification of Fixed Point Network Dynamics from Multiple Node Timeseries Data. Frontiers Neuroinformatics David Blaszka, Elischa Sanders, Jeffrey Riffell, Eli Shlizerman
2017	J	`jnl`	Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics. Frontiers Comput. Neurosci. James M. Kunert-Graf, Eli Shlizerman, Andrew Walker, J. Nathan Kutz
2014	J	`jnl`	Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe. Frontiers Comput. Neurosci. Eli Shlizerman, Jeffrey Riffell, J. Nathan Kutz
2012	J	`jnl`	Neural Activity Measures and Their Dynamics. SIAM J. Appl. Math. Eli Shlizerman, Konrad Schroder, J. Nathan Kutz
2012	J	`jnl`	Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior. Neural Comput. Eli Shlizerman, Philip Holmes
2012	J	`jnl`	The Low Dimensionality of Time-Periodic Standing Waves in Water of Finite and Infinite Depth. SIAM J. Appl. Dyn. Syst. Matthew O. Williams, Eli Shlizerman, Jon Wilkening, J. Nathan Kutz
2008	J	`jnl`	Symmetry-Breaking Bifurcation in Nonlinear Schrödinger/Gross-Pitaevskii Equations. SIAM J. Math. Anal. E. W. Kirr, P. G. Kevrekidis, Eli Shlizerman, Michael I. Weinstein