Pallab Dasgupta

About Pallab Dasgupta

Pallab Dasgupta, With an exceptional h-index of 20 and a recent h-index of 12 (since 2020), a distinguished researcher at Indian Institute of Technology Kharagpur, specializes in the field of Formal Methods, Design Automation, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL

Defense against stealthy dummy Load Redistribution attacks

Addressing Permutation Challenges in Multi-Agent Reinforcement Learning

Check for updates Imperative Action Masking for Safe Exploration in Reinforcement Learning

Imperative Action Masking for Safe Exploration in Reinforcement Learning

Learn from your faults: leakage assessment in fault attacks using deep learning

Safe reinforcement learning through phasic safety oriented policy optimization

Analog Coverage-driven Selection of Simulation Corners for AMS Integrated Circuits

Pallab Dasgupta Information

University

Position

___

Citations(all)

1836

Citations(since 2020)

654

Cited By

1438

hIndex(all)

20

hIndex(since 2020)

12

i10Index(all)

55

i10Index(since 2020)

16

Email

University Profile Page

Indian Institute of Technology Kharagpur

Google Scholar

View Google Scholar Profile

Pallab Dasgupta Skills & Research Interests

Formal Methods

Design Automation

Artificial Intelligence

Top articles of Pallab Dasgupta

Title

Journal

Author(s)

Publication Date

P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL

Proceedings of the AAAI Conference on Artificial Intelligence

Sumanta Dey

Pallab Dasgupta

Soumyajit Dey

2024/3/24

Defense against stealthy dummy Load Redistribution attacks

Electric Power Systems Research

Praveen Verma

Pallab Dasgupta

Chandan Chakraborty

2024/3/1

Addressing Permutation Challenges in Multi-Agent Reinforcement Learning

Somnath Hazra

Pallab Dasgupta

Soumyajit Dey

2024/5/6

Check for updates Imperative Action Masking for Safe Exploration in Reinforcement Learning

Explainable and Transparent AI and Multi-Agent Systems: 5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised Selected Papers

Sumanta Dey

Sharat Bhat

Pallab Dasgupta

Soumyajit Dey

2023

Imperative Action Masking for Safe Exploration in Reinforcement Learning

Sumanta Dey

Sharat Bhat

Pallab Dasgupta

Soumyajit Dey

2023/5/29

Learn from your faults: leakage assessment in fault attacks using deep learning

Journal of Cryptology

Sayandeep Saha

Manaar Alam

Arnab Bag

Debdeep Mukhopadhyay

Pallab Dasgupta

2023/7

Safe reinforcement learning through phasic safety oriented policy optimization

SafeAI@ AAAI Conference on Artificial Intelligence

Sumanta Dey

Pallab Dasgupta

Soumyajit Dey

2023

Analog Coverage-driven Selection of Simulation Corners for AMS Integrated Circuits

Sayandeep Sanyal

Aritra Hazra

Pallab Dasgupta

Scott Morrison

Sudhakar Surendran

...

2023/4/17

Domain adaptation of reinforcement learning agents based on network service proximity

arXiv preprint arXiv:2303.01013

Kaushik Dey

Satheesh K Perepu

Pallab Dasgupta

Abir Das

2023/3/2

Transistor—level defect coverage and defect simulation

2023/4/4

DietCNN: Multiplication-free Inference for Quantized CNNs

Swarnava Dey

Pallab Dasgupta

Partha P Chakrabarti

2023/6/18

PruVer: Verification Assisted Pruning for Deep Reinforcement Learning

Briti Gangopadhyay

Pallab Dasgupta

Soumyajit Dey

2023/11/10

Generating tiny deep neural networks for ecg classification on micro-controllers

Shalini Mukhopadhyay

Swarnava Dey

Avik Ghose

Pragya Singh

Pallab Dasgupta

2023/3/13

Identifying glitches and levels in mixed-signal waveforms

2023/6/8

Penalizing proposals using classifiers for semi-supervised object detection

Computer Vision and Image Understanding

Somnath Hazra

Pallab Dasgupta

2023/10/1

Accelerating Defect Simulation in Analog and Mixed-Signal Circuits by Parallel Defect Injection

Sayandeep Sanyal

Mayukh Bhattacharya

Pallab Dasgupta

Amit Patra

2023/1/8

Counterexample-Guided Policy Refinement in Multi-Agent Reinforcement Learning

Briti Gangopadhyay

Pallab Dasgupta

Soumyajit Dey

2023/5/30

Safety aware neural pruning for deep reinforcement learning (student abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

Briti Gangopadhyay

Pallab Dasgupta

Soumyajit Dey

2023/9/6

SymDNN: Simple & Effective Adversarial Robustness for Embedded Systems

Swarnava Dey

Pallab Dasgupta

Partha P Chakrabarti

2022

Adaptive safety shields for reinforcement learning-based cell shaping

IEEE Transactions on Network and Service Management

Sumanta Dey

Anusha Mujumdar

Pallab Dasgupta

Soumyajit Dey

2022/7/28

See List of Professors in Pallab Dasgupta University(Indian Institute of Technology Kharagpur)

Co-Authors

H-index: 46
Debdeep Mukhopadhyay

Debdeep Mukhopadhyay

Indian Institute of Technology Kharagpur

H-index: 42
Soumya K. Ghosh

Soumya K. Ghosh

Indian Institute of Technology Kharagpur

H-index: 39
Krothapalli Sreenivasa Rao

Krothapalli Sreenivasa Rao

Indian Institute of Technology Kharagpur

H-index: 19
Ansuman Banerjee

Ansuman Banerjee

Indian Statistical Institute

H-index: 17
Siddhartha Mukhopadhyay

Siddhartha Mukhopadhyay

Indian Institute of Technology Kharagpur

H-index: 13
Jatindra Kumar Deka

Jatindra Kumar Deka

Indian Institute of Technology Guwahati

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