Beomseok Kang

According to our database, Beomseok Kang authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

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, July, 2025

DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation.

Beomseok Kang, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera

CoRR, April, 2025

Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks.

Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay

CoRR, April, 2025

Data and Computation-efficient Deep Learning for Multi-agent Systems.

Beomseok Kang

PhD thesis, 2025

Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint.

Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Online Relational Inference for Evolving Multi-agent Interacting Systems.

Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction.

Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems.

Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay

Proceedings of the International Joint Conference on Neural Networks, 2024

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN.

Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Forecasting Evolution of Clusters in Game Agents with Hebbian Learning.

Beomseok Kang, Saibal Mukhopadhyay

Proceedings of the International Joint Conference on Neural Networks, 2023

Unsupervised 3D Object Learning through Neuron Activity aware Plasticity.

Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Forecasting Evolution of Clusters in StarCraft II with Hebbian Learning.

Beomseok Kang, Saibal Mukhopadhyay

CoRR, 2022

Unsupervised Hebbian Learning on Point Sets in StarCraft II.

Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture.

Beomseok Kang, Anni Lu, Yun Long, Daehyun Kim, Shimeng Yu, Saibal Mukhopadhyay

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021