Somdeb Majumdar

According to our database, Somdeb Majumdar authored at least 24 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs.

Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

The Changing Landscape of AI-driven System Optimization for Complex Combinatorial Optimization.

Somdeb Majumdar

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

Learning Intrinsic Symbolic Rewards in Reinforcement Learning.

Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp

Proceedings of the International Joint Conference on Neural Networks, 2022

Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization.

Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phiellip, Nilesh Jain, Somdeb Majumdar

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection.

Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar

Proceedings of the Computer Vision - ECCV 2022, 2022

Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos.

Shaowei Liu, Subarna Tripathi, Somdeb Majumdar, Xiaolong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Spatial-Temporal Graphs for Active Speaker Detection.

Sourya Roy, Kyle Min, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar

CoRR, 2021

Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning.

Varun Kumar Vijay, Hassam Sheikh, Somdeb Majumdar, Mariano Phielipp

CoRR, 2021

Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization.

Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar

CoRR, 2021

On Local Aggregation in Heterophilic Graphs.

Hesham Mostafa, Marcel Nassar, Somdeb Majumdar

CoRR, 2021

Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning.

Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar

Proceedings of the 9th International Conference on Learning Representations, 2021

MAEDyS: multiagent evolution via dynamic skill selection.

Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Dynamic Skill Selection for Learning Joint Actions.

Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Dream and Search to Control: Latent Space Planning for Continuous Control.

Anurag Koul, Varun V. Kumar, Alan Fern, Somdeb Majumdar

CoRR, 2020

Learning Intrinsic Symbolic Rewards in Reinforcement Learning.

Hassam Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar

CoRR, 2020

Safety Aware Reinforcement Learning (SARL).

Santiago Miret, Somdeb Majumdar, Carroll Wainwright

CoRR, 2020

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination.

Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination.

Shauharda Khadka, Somdeb Majumdar, Kagan Tumer

CoRR, 2019

Artificial Intelligence for Prosthetics - challenge solutions.

Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp

CoRR, 2019

Collaborative Evolutionary Reinforcement Learning.

Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer

Proceedings of the 36th International Conference on Machine Learning, 2019

2012

A closed-loop system for artifact mitigation in ambulatory electrocardiogram monitoring.

Mohammed Shoaib, Gene Marsh, Harinath Garudadri, Somdeb Majumdar

Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

2011

Diagnostic grade wireless ECG monitoring.

Harinath Garudadri, Yuejie Chi, Steve Baker, Somdeb Majumdar, Pawan K. Baheti, Dan Ballard

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Blood oxygen estimation from compressively sensed photoplethysmograph.

Pawan K. Baheti, Harinath Garudadri, Somdeb Majumdar

Proceedings of Wireless Health 2010, 2010

Low complexity sensors for body area networks.

Harinath Garudadri, Pawan K. Baheti, Somdeb Majumdar

Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010