Pawan Kumar | DeepAI

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Jun Sun
89 publications
Piyush Rai
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Bamdev Mishra
31 publications
Sanjay Chawla
30 publications
Srikanta Bedathur
30 publications
Pratik Jawanpuria
21 publications
Amartya Sanyal
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Anuj Mahajan
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Abhinav Aggarwal
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∙ 08/21/2023

Reinforcement Learning Based Sensor Optimization for Bio-markers

Radio frequency (RF) biosensors, in particular those based on inter-digi...

0 Sajal Khandelwal, et al. ∙

∙ 08/08/2023

Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers

The combination of high-throughput experimentation techniques and machin...

0 Ji Wei Yoon, et al. ∙

∙ 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. ∙

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