Ravi, Sathya N.

19 publications

AISTATS 2025 Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives Zhu Wang, Praveen Raj Veluswami, Harsh Mishra, Sathya N. Ravi

TMLR 2025 Targeted Unlearning Using Perturbed Sign Gradient Methods with Applications on Medical Images George R. Nahass, Zhu Wang, Homa Rashidisabet, Won Hwa Kim, Sasha Hubschman, Jeffrey C. Peterson, Pete Setabutr, Chad A. Purnell, Ann Tran, Darvin Yi, Sathya N. Ravi

ICLR 2024 Flag Aggregator: Scalable Distributed Training Under Failures and Augmented Losses Using Convex Optimization Hamidreza Almasi, Harsh Mishra, Balajee Vamanan, Sathya N. Ravi

NeurIPS 2024 IMPACT: A Large-Scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents Homaira Huda Shomee, Zhu Wang, Sourav Medya, Sathya N. Ravi

ICML 2023 Controlled Differential Equations on Long Sequences via Non-Standard Wavelets Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh

CVPR 2022 Deep Unlearning via Randomized Conditionally Independent Hessians Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi

CVPR 2022 Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh

AAAI 2021 Learning Invariant Representations Using Inverse Contrastive Loss Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh

ICCV 2021 Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators Zihang Meng, Vikas Singh, Sathya N. Ravi

AAAI 2021 Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng, Sathya N. Ravi, Vikas Singh

ECCV 2020 FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh

AAAI 2020 Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh

AAAI 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh

AAAI 2019 Numerical Optimization to AI, and Back Sathya N. Ravi

CVPR 2017 Filter Flow Made Practical: Massively Parallel and Lock-Free Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh

CVPR 2016 Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh

ICCV 2015 A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

ICCV 2015 An NMF Perspective on Binary Hashing Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh

ICCV 2015 On Statistical Analysis of Neuroimages with Imperfect Registration Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh