Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture. - Beomseok Kang; Anni Lu; Yun Long; Daehyun Kim 002; Shimeng Yu; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Unsupervised Hebbian Learning on Point Sets in StarCraft II. - Beomseok Kang; Harshit Kumar; Saurabh Dash; Saibal Mukhopadhyay (IJCNN, 2022)

Forecasting Evolution of Clusters in StarCraft II with Hebbian Learning. - Beomseok Kang; Saibal Mukhopadhyay (CoRR, 2022)

Forecasting local behavior of multi-agent system and its application to forest fire model. - Beomseok Kang; Minah Lee; Harshit Kumar; Saibal Mukhopadhyay (CoRR, 2022)

Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. - Beomseok Kang; Biswadeep Chakraborty; Saibal Mukhopadhyay (ICLR, 2023)

Forecasting Evolution of Clusters in Game Agents with Hebbian Learning. - Beomseok Kang; Saibal Mukhopadhyay (IJCNN, 2023)

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. - Biswadeep Chakraborty; Beomseok Kang; Harshit Kumar; Saibal Mukhopadhyay (ICLR, 2024)

Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems. - Beomseok Kang; Minah Lee; Harshit Kumar; Saibal Mukhopadhyay (IJCNN, 2024)

Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. - Beomseok Kang; Harshit Kumar; Minah Lee; Biswadeep Chakraborty; Saibal Mukhopadhyay (L4DC, 2024)

Online Relational Inference for Evolving Multi-agent Interacting Systems. - Beomseok Kang; Priyabrata Saha; Sudarshan Sharma; Biswadeep Chakraborty; Saibal Mukhopadhyay (NeurIPS, 2024)

Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. - Harshit Kumar; Biswadeep Chakraborty; Beomseok Kang; Saibal Mukhopadhyay (CoRR, 2024)

Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint. - Harshit Kumar; Beomseok Kang; Biswadeep Chakraborty; Saibal Mukhopadhyay (ICLR, 2025)

Data and Computation-efficient Deep Learning for Multi-agent Systems. - Beomseok Kang (2025)

Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks. - Biswadeep Chakraborty; Hemant Kumawat; Beomseok Kang; Saibal Mukhopadhyay (CoRR, 2025)

DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation. - Beomseok Kang; Niluthpol Chowdhury Mithun; Abhinav Rajvanshi; Han-Pang Chiu; Supun Samarasekera (CoRR, 2025)

OrbitAll: A Unified Quantum Mechanical Representation Deep Learning Framework for All Molecular Systems. - Beomseok Kang; Vignesh C. Bhethanabotla; Amin Tavakoli; Maurice D. Hanisch; William A. Goddard III; Anima Anandkumar (CoRR, 2025)