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Multi Resolution Analysis (MRA) for Approximate Self-Attention


Jul 21, 2022
Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn M Fung, Vikas Singh

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* ICML2022 

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On the Versatile Uses of Partial Distance Correlation in Deep Learning


Jul 20, 2022
Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh

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* ECCV 2022 

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Deep Unlearning via Randomized Conditionally Independent Hessians


Apr 15, 2022
Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi

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* Accepted to IEEE Computer Vision and Pattern Recognition, CVPR 2022 

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Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets


Mar 29, 2022
Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh

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* Accepted at 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 

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Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks


Feb 19, 2022
Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh

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Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data


Feb 18, 2022
Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh

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Forward Operator Estimation in Generative Models with Kernel Transfer Operators


Dec 01, 2021
Zhichun Huang, Rudrasis Chakraborty, Vikas Singh

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You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling


Nov 18, 2021
Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Fung, Vikas Singh

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* Proceedings of the 38th ICML (2021) 

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Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators


Aug 19, 2021
Zihang Meng, Vikas Singh, Sathya N. Ravi

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An Online Riemannian PCA for Stochastic Canonical Correlation Analysis


Jun 08, 2021
Zihang Meng, Rudrasis Chakraborty, Vikas Singh

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