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Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|July 13, 2023
Deep Unlearning via Randomized Conditionally Independent HessiansRonak Mehta, Sourav Pal, Vikas Singh, et al.Proceedings of Machine Learning Research|June 17, 2024
Controlled Differential Equations on Long Sequences via Non-standard WaveletsSourav Pal, Zhanpeng Zeng, Sathya N Ravi, et al.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|September 6, 2021
Physarum Powered Differentiable Linear Programming Layers and ApplicationsZihang Meng, Sathya N Ravi, Vikas SinghProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|June 7, 2021
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency GainsSathya N Ravi, Abhay Venkatesh, Glenn M Fung, et al.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|October 21, 2022
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging DatasetsVishnu Suresh Lokhande, Sathya N Ravi, Rudrasis Chakraborty, et al.Proceedings. IEEE International Conference on Computer Vision|March 16, 2022
Scaling Recurrent Models via Orthogonal Approximations in Tensor TrainsRonak Mehta, Rudrasis Chakraborty, Yunyang Xiong, et al.Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|October 11, 2021
A Variational Approximation for Analyzing the Dynamics of Panel DataJurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, et al.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|August 18, 2021
Learning Invariant Representations using Inverse Contrastive LossAditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N Ravi, et al.JMLR Workshop and Conference Proceedings|May 9, 2017
Experimental Design on a Budget for Sparse Linear Models and ApplicationsSathya N Ravi, Vamsi K Ithapu, Sterling C Johnson, et al.Computer Vision - ECCV ... : ... European Conference on Computer Vision : Proceedings. European Conference on Computer Vision|January 19, 2021
FairALM: Augmented Lagrangian Method for Training Fair Models with Little RegretVishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N Ravi, et al.Pageof 55