Beomseok Kang - RankMe

27 papers A* 4B 4Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection. CoRR Dongwon Jo, Beomseok Kang, Jiwon Song, Jae-Joon Kim
2025	B	`conf`	Adaptive Graph Structure Inference for Learning Multivariate Point Processes using Spiking Neural Networks. IJCNN Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay
2025	J	`jnl`	DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation. CoRR Beomseok Kang, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera
2025	—	`—`	Data and Computation-efficient Deep Learning for Multi-agent Systems. Beomseok Kang
2025	J	`jnl`	Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks. CoRR Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay
2025	J	`jnl`	Efficient Domain-Adaptive Multi-Task Dense Prediction with Vision Foundation Models. CoRR Beomseok Kang, Niluthpol Chowdhury Mithun, Mikhail Sizintsev, Han-Pang Chiu, Supun Samarasekera
2025	A*	`conf`	Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint. ICLR Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay
2025	J	`jnl`	LiteStage: Latency-aware Layer Skipping for Multi-stage Reasoning. CoRR Beomseok Kang, Jiwon Song, Jae-Joon Kim
2025	J	`jnl`	OrbitAll: A Unified Quantum Mechanical Representation Deep Learning Framework for All Molecular Systems. CoRR Beomseok Kang, Vignesh C. Bhethanabotla, Amin Tavakoli, Maurice D. Hanisch, William A. Goddard III, Anima Anandkumar
2025	J	`jnl`	QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models. CoRR Hyesung Jeon, Seojune Lee, Beomseok Kang, Yulhwa Kim, Jae-Joon Kim
2025	J	`jnl`	Retrospective Sparse Attention for Efficient Long-Context Generation. CoRR Seonghwan Choi, Beomseok Kang, Dongwon Jo, Jae-Joon Kim
2024	J	`jnl`	Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction. CoRR Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay
2024	—	`conf`	Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. L4DC Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay
2024	A*	`conf`	Online Relational Inference for Evolving Multi-agent Interacting Systems. NeurIPS Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay
2024	J	`jnl`	Online Relational Inference for Evolving Multi-agent Interacting Systems. CoRR Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay
2024	A*	`conf`	Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. ICLR Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
2024	J	`jnl`	Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. CoRR Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
2024	B	`conf`	Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems. IJCNN Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay
2024	J	`jnl`	Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. CoRR Harshit Kumar, Biswadeep Chakraborty, Beomseok Kang, Saibal Mukhopadhyay
2023	B	`conf`	Forecasting Evolution of Clusters in Game Agents with Hebbian Learning. IJCNN Beomseok Kang, Saibal Mukhopadhyay
2023	A*	`conf`	Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. ICLR Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay
2023	J	`jnl`	Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. CoRR Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay
2022	J	`jnl`	Forecasting Evolution of Clusters in StarCraft II with Hebbian Learning. CoRR Beomseok Kang, Saibal Mukhopadhyay
2022	J	`jnl`	Forecasting local behavior of multi-agent system and its application to forest fire model. CoRR Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay
2022	B	`conf`	Unsupervised Hebbian Learning on Point Sets in StarCraft II. IJCNN Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
2022	J	`jnl`	Unsupervised Hebbian Learning on Point Sets in StarCraft II. CoRR Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
2021	J	`jnl`	Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture. IEEE J. Emerg. Sel. Topics Circuits Syst. Beomseok Kang, Anni Lu, Yun Long, Daehyun Kim, Shimeng Yu, Saibal Mukhopadhyay