Beomseok Kang

Beomseok Kang

Georgia Institute of Technology

H-index: 5

North America-United States

About Beomseok Kang

Beomseok Kang, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of artificial intelligence, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction

HamQ: Hamming Weight-based Energy Aware Quantization for Analog Compute-In-Memory Accelerator in Intelligent Sensors

Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction

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

Monolithic 3D integration of 2D materials-based electronics towards ultimate edge computing solutions

Forecasting Evolution of Clusters in Game Agents with Hebbian Learning

Unsupervised 3D Object Learning through Neuron Activity aware Plasticity

Forecasting Local Behavior of Self-organizing Many-agent System without Reconstruction

Beomseok Kang Information

University

Position

___

Citations(all)

311

Citations(since 2020)

309

Cited By

49

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Beomseok Kang Skills & Research Interests

artificial intelligence

machine learning

Top articles of Beomseok Kang

Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction

arXiv preprint arXiv:2404.06460

2024/4/9

HamQ: Hamming Weight-based Energy Aware Quantization for Analog Compute-In-Memory Accelerator in Intelligent Sensors

IEEE Sensors Journal

2024/4/2

Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction

arXiv preprint arXiv:2402.15163

2024/2/23

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

arXiv preprint arXiv:2403.03409

2024/3/6

Forecasting Evolution of Clusters in Game Agents with Hebbian Learning

2023/8/2

Beomseok Kang
Beomseok Kang

H-Index: 4

Saibal Mukhopadhyay
Saibal Mukhopadhyay

H-Index: 29

Unsupervised 3D Object Learning through Neuron Activity aware Plasticity

2023 International Conference on Learning Representations (ICLR)

2023/2/22

Forecasting Local Behavior of Self-organizing Many-agent System without Reconstruction

arXiv preprint arXiv:2210.17289

2022/10/28

Unsupervised hebbian learning on point sets in starcraft ii

2022/7/18

Energy-aware DNN Quantization for Processing-In-Memory Architecture

2022/5/13

Beomseok Kang
Beomseok Kang

H-Index: 4

MONETA: A processing-in-memory-based hardware platform for the hybrid convolutional spiking neural network with online learning

Frontiers in Neuroscience

2022/4/11

Genetic algorithm-based energy-aware CNN quantization for processing-in-memory architecture

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

2021/11/10

Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition

Nature communications

2020/8/7

See List of Professors in Beomseok Kang University(Georgia Institute of Technology)