Pawan Kumar | DeepAI

DeepAI AI Chat

Featured Co-authors

Jun Sun
82 publications
Piyush Rai
44 publications
Purushottam Kar
31 publications
Bamdev Mishra
31 publications
Sanjay Chawla
29 publications
Srikanta Bedathur
27 publications
Pratik Jawanpuria
21 publications
Amartya Sanyal
18 publications
Fabrizio Sebastiani
15 publications
Anuj Mahajan
13 publications
Abhinav Aggarwal
13 publications

∙ 05/13/2023

Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion

Recent approaches to the tensor completion problem have often overlooked...

0 Tanmay Kumar Sinha, et al. ∙

∙ 05/13/2023

Structured Low-Rank Tensor Learning

We consider the problem of learning low-rank tensors from partial observ...

0 Jayadev Naram, et al. ∙

∙ 04/20/2023

Angle based dynamic learning rate for gradient descent

In our work, we propose a novel yet simple approach to obtain an adaptiv...

0 Neel Mishra, et al. ∙

∙ 04/20/2023

Adaptive Consensus Optimization Method for GANs

We propose a second order gradient based method with ADAM and RMSprop fo...

0 Sachin Kumar Danisetty, et al. ∙

∙ 04/20/2023

Light-weight Deep Extreme Multilabel Classification

Extreme multi-label (XML) classification refers to the task of supervise...

0 Istasis Mishra, et al. ∙

∙ 03/24/2023

marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization

Recent advances in Reinforcement Learning (RL) have led to many exciting...

0 Kinal Mehta, et al. ∙

∙ 02/15/2023

SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs

We describe SynGraphy, a method for visually summarising the structure o...

0 Jérôme Kunegis, et al. ∙

∙ 02/15/2023

Qualitative Data Augmentation for Performance Prediction in VLSI circuits

Various studies have shown the advantages of using Machine Learning (ML)...

0 Prasha Srivastava, et al. ∙

∙ 02/12/2023

Review of Extreme Multilabel Classification

Extreme multilabel classification or XML, in short, has emerged as a new...

0 Arpan Dasgupta, et al. ∙

∙ 12/10/2022

Effects of Spectral Normalization in Multi-agent Reinforcement Learning

A reliable critic is central to on-policy actor-critic learning. But it ...

0 Kinal Mehta, et al. ∙

∙ 09/30/2021

On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems

We propose a novel Riemannian method for solving the Extreme multi-label...

0 Jayadev Naram, et al. ∙

∙ 09/30/2021

SCIMAT: Science and Mathematics Dataset

In this work, we announce a comprehensive well curated and opensource da...

0 Neeraj Kollepara, et al. ∙

∙ 09/29/2020

A Survey on Semantic Parsing from the perspective of Compositionality

Different from previous surveys in semantic parsing (Kamath and Das, 201...

0 Pawan Kumar, et al. ∙

∙ 12/31/2019

Deep Attentive Ranking Networks for Learning to Order Sentences

We present an attention-based ranking framework for learning to order se...

8 Pawan Kumar, et al. ∙

∙ 09/21/2019

Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid

A parallel and nested version of a frequency filtering preconditioner is...

0 Abhinav Aggarwal, et al. ∙

∙ 03/10/2018

Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS

In this paper, we study FPGA based pipelined and superscalar design of t...

0 Sahithi Rampalli, et al. ∙

∙ 01/31/2018

Optimizing Non-decomposable Measures with Deep Networks

We present a class of algorithms capable of directly training deep neura...

0 Amartya Sanyal, et al. ∙

∙ 09/28/2017

Preconditioners for Saddle Point Problems on Truncated Domains in Phase Separation Modelling

The discretization of Cahn-Hilliard equation with obstacle potential lea...

0 Pawan Kumar, et al. ∙