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03/29/2023
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos
Modeling sounds emitted from physical object interactions is critical fo...
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06/17/2022
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning
When learning new tasks in a sequential manner, deep neural networks ten...
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06/09/2022
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer
Modeling neural population dynamics underlying noisy single-trial spikin...
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04/11/2022
Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks
Recurrent Neural Networks (RNN) are ubiquitous computing systems for seq...
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04/11/2022
Statistical Perspective on Functional and Causal Neural Connectomics: The Time-Aware PC Algorithm
The representation of the flow of information between neurons in the bra...
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11/03/2021
Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative Study
Representation of brain network interactions is fundamental to the trans...
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02/26/2021
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks
In recent years, Convolutional Neural Networks (CNNs) have enabled ubiqu...
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12/07/2020
Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements
We propose a novel system that takes as an input body movements of a mus...
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12/03/2020
Sparse Semi-Supervised Action Recognition with Active Learning
Current state-of-the-art methods for skeleton-based action recognition a...
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06/25/2020
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools
Recurrent neural networks (RNNs) have been successfully applied to a var...
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06/23/2020
Audeo: Audio Generation for a Silent Performance Video
We present a novel system that gets as an input video frames of a musici...
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06/12/2020
BI-MAML: Balanced Incremental Approach for Meta Learning
We present a novel Balanced Incremental Model Agnostic Meta Learning sys...
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06/12/2020
Deep Reinforcement Learning for Neural Control
We present a novel methodology for control of neural circuits based on d...
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06/12/2020
Iterate Cluster: Iterative Semi-Supervised Action Recognition
We propose a novel system for active semi-supervised feature-based actio...
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03/25/2020
R-FORCE: Robust Learning for Random Recurrent Neural Networks
Random Recurrent Neural Networks (RRNN) are the simplest recurrent netwo...
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11/27/2019
PREDICT CLUSTER: Unsupervised Skeleton Based Action Recognition
We propose a novel system for unsupervised skeleton-based action recogni...
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05/29/2019
Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks
Encoder-decoder recurrent neural network models (Seq2Seq) have achieved ...
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12/19/2017
