Eli Shlizerman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Sensors Applications Symposium, 2023

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning.

[BibT_eX]

[DOI]

Jinlin Xiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

[BibT_eX]

[DOI]

Mingfei Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

[BibT_eX]

[DOI]

Rahul Biswas

PLoS Comput. Biol., November, 2022

On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools.

[BibT_eX]

[DOI]

Ryan Vogt

Maximilian Puelma Touzel

Guillaume Lajoie

Frontiers Appl. Math. Stat., 2022

TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning.

[BibT_eX]

[DOI]

Jinlin Xiang

CoRR, 2022

STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer.

[BibT_eX]

[DOI]

Trung Le

CoRR, 2022

Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks.

[BibT_eX]

[DOI]

Ryan Vogt

Yang Zheng

CoRR, 2022

INRAS: Implicit Neural Representation for Audio Scenes.

[BibT_eX]

[DOI]

Mingfei Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers.

[BibT_eX]

[DOI]

Trung Le

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

How Does it Sound?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2020

Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements.

[BibT_eX]

[DOI]

CoRR, 2020

Sparse Semi-Supervised Action Recognition with Active Learning.

[BibT_eX]

[DOI]

Jingyuan Li

CoRR, 2020

BI-MAML: Balanced Incremental Approach for Meta Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Reinforcement Learning for Neural Control.

[BibT_eX]

[DOI]

Jimin Kim

CoRR, 2020

Iterate & Cluster: Iterative Semi-Supervised Action Recognition.

[BibT_eX]

[DOI]

Jingyuan Li

CoRR, 2020

R-FORCE: Robust Learning for Random Recurrent Neural Networks.

[BibT_eX]

[DOI]

Yang Zheng

CoRR, 2020

Audeo: Audio Generation for a Silent Performance Video.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Neural Interactome: Interactive Simulation of a Neuronal System.

[BibT_eX]

[DOI]

Jimin Kim

William Leahy

Frontiers Comput. Neurosci., 2019

Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

An Optical Frontend for a Convolutional Neural Network.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Audio to Body Dynamics.

[BibT_eX]

[DOI]

Ira Kemelmacher-Shlizerman

Lucio M. Dery

Hayden Schoen

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Classification of Fixed Point Network Dynamics from Multiple Node Timeseries Data.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2017

Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2017

2014

Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe.

[BibT_eX]

[DOI]

Jeffrey Riffell

J. Nathan Kutz

Frontiers Comput. Neurosci., 2014

2012

Neural Activity Measures and Their Dynamics.

[BibT_eX]

[DOI]

Konrad Schroder

J. Nathan Kutz

SIAM J. Appl. Math., 2012

The Low Dimensionality of Time-Periodic Standing Waves in Water of Finite and Infinite Depth.

[BibT_eX]

[DOI]

SIAM J. Appl. Dyn. Syst., 2012

Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior.

[BibT_eX]

[DOI]