Alert button
Picture for Sathya N. Ravi

Sathya N. Ravi

Alert button

Accelerated Neural Network Training with Rooted Logistic Objectives

Oct 05, 2023
Zhu Wang, Praveen Raj Veluswami, Harsh Mishra, Sathya N. Ravi

Viaarxiv icon

Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization

Feb 12, 2023
Hamidreza Almasi, Harsh Mishra, Balajee Vamanan, Sathya N. Ravi

Figure 1 for Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
Figure 2 for Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
Figure 3 for Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
Figure 4 for Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
Viaarxiv icon

Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis

Feb 11, 2023
Zhu Wang, Sourav Medya, Sathya N. Ravi

Figure 1 for Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
Figure 2 for Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
Figure 3 for Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
Figure 4 for Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
Viaarxiv icon

Using Intermediate Forward Iterates for Intermediate Generator Optimization

Feb 05, 2023
Harsh Mishra, Jurijs Nazarovs, Manmohan Dogra, Sathya N. Ravi

Figure 1 for Using Intermediate Forward Iterates for Intermediate Generator Optimization
Figure 2 for Using Intermediate Forward Iterates for Intermediate Generator Optimization
Figure 3 for Using Intermediate Forward Iterates for Intermediate Generator Optimization
Figure 4 for Using Intermediate Forward Iterates for Intermediate Generator Optimization
Viaarxiv icon

Deep Unlearning via Randomized Conditionally Independent Hessians

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

Figure 1 for Deep Unlearning via Randomized Conditionally Independent Hessians
Figure 2 for Deep Unlearning via Randomized Conditionally Independent Hessians
Figure 3 for Deep Unlearning via Randomized Conditionally Independent Hessians
Figure 4 for Deep Unlearning via Randomized Conditionally Independent Hessians
Viaarxiv icon

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets

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

Figure 1 for Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
Figure 2 for Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
Figure 3 for Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
Figure 4 for Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
Viaarxiv icon

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

Figure 1 for Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data
Figure 2 for Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data
Figure 3 for Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data
Figure 4 for Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data
Viaarxiv icon

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

Figure 1 for You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
Figure 2 for You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
Figure 3 for You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
Figure 4 for You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
Viaarxiv icon

Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators

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

Figure 1 for Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
Figure 2 for Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
Figure 3 for Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
Figure 4 for Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
Viaarxiv icon

Learning Invariant Representations using Inverse Contrastive Loss

Feb 16, 2021
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh

Figure 1 for Learning Invariant Representations using Inverse Contrastive Loss
Figure 2 for Learning Invariant Representations using Inverse Contrastive Loss
Figure 3 for Learning Invariant Representations using Inverse Contrastive Loss
Figure 4 for Learning Invariant Representations using Inverse Contrastive Loss
Viaarxiv icon