Somdeb Majumdar

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 27

Top Topics

Combinatorial Optimization

Temporally Coherent

Reinforcement Learning

Top Venues

Publications

Uday Mallappa, Hesham Mostafa, Michael Galkin, Mariano Phielipp, Somdeb Majumdar
FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs. CoRR (2024)
Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints. CoRR (2024)
Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. WACV (2023)
Shaowei Liu, Subarna Tripathi, Somdeb Majumdar, Xiaolong Wang
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos. CVPR (2022)
Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phiellip, Nilesh Jain, Somdeb Majumdar
Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization. GECCO (2022)
Somdeb Majumdar
The Changing Landscape of AI-driven System Optimization for Complex Combinatorial Optimization. MLCAD (2022)
Shaowei Liu, Subarna Tripathi, Somdeb Majumdar, Xiaolong Wang
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos. CoRR (2022)
Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection. ECCV (35) (2022)
Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp
Learning Intrinsic Symbolic Rewards in Reinforcement Learning. IJCNN (2022)
Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection. CoRR (2022)
Sourya Roy, Kyle Min, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar
Learning Spatial-Temporal Graphs for Active Speaker Detection. CoRR (2021)
Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization. CoRR (2021)
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR (2021)
Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
MAEDyS: multiagent evolution via dynamic skill selection. GECCO (2021)
Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
Dynamic Skill Selection for Learning Joint Actions. AAMAS (2021)
Hesham Mostafa, Marcel Nassar, Somdeb Majumdar
On Local Aggregation in Heterophilic Graphs. CoRR (2021)
Shengyu Feng, Subarna Tripathi, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. CoRR (2021)
Varun Kumar Vijay, Hassam Sheikh, Somdeb Majumdar, Mariano Phielipp
Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning. CoRR (2021)
Anurag Koul, Varun V. Kumar, Alan Fern, Somdeb Majumdar
Dream and Search to Control: Latent Space Planning for Continuous Control. CoRR (2020)
Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. ICML (2020)
Santiago Miret, Somdeb Majumdar, Carroll Wainwright
Safety Aware Reinforcement Learning (SARL). CoRR (2020)
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR (2020)
Hassam Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar
Learning Intrinsic Symbolic Rewards in Reinforcement Learning. CoRR (2020)
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
Artificial Intelligence for Prosthetics - challenge solutions. CoRR (2019)
Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
Collaborative Evolutionary Reinforcement Learning. ICML (2019)
Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. CoRR (2019)
Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
Collaborative Evolutionary Reinforcement Learning. CoRR (2019)
Mohammed Shoaib, Gene Marsh, Harinath Garudadri, Somdeb Majumdar
A closed-loop system for artifact mitigation in ambulatory electrocardiogram monitoring. DATE (2012)
Harinath Garudadri, Yuejie Chi, Steve Baker, Somdeb Majumdar, Pawan K. Baheti, Dan Ballard
Diagnostic grade wireless ECG monitoring. EMBC (2011)
Harinath Garudadri, Pawan K. Baheti, Somdeb Majumdar
Low complexity sensors for body area networks. PETRA (2010)
Pawan K. Baheti, Harinath Garudadri, Somdeb Majumdar
Blood oxygen estimation from compressively sensed photoplethysmograph. Wireless Health (2010)