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2020 – today
- 2024
[c6]Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay:
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. ICLR 2024- [c5]Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay:
Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems. IJCNN 2024: 1-7 - [c4]Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. L4DC 2024: 1357-1369 - [i7]Harshit Kumar, Biswadeep Chakraborty, Beomseok Kang, Saibal Mukhopadhyay:
Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. CoRR abs/2402.15163 (2024) - [i6]Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay:
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. CoRR abs/2403.03409 (2024) - [i5]Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction. CoRR abs/2404.06460 (2024) - 2023
- [c3]Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. ICLR 2023 - [c2]Beomseok Kang, Saibal Mukhopadhyay:
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning. IJCNN 2023: 1-8 - [i4]Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. CoRR abs/2302.11622 (2023) - 2022
- [c1]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. IJCNN 2022: 1-8 - [i3]Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. CoRR abs/2207.12323 (2022) - [i2]Beomseok Kang, Saibal Mukhopadhyay:
Forecasting Evolution of Clusters in StarCraft II with Hebbian Learning. CoRR abs/2209.06904 (2022) - [i1]Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay:
Forecasting local behavior of multi-agent system and its application to forest fire model. CoRR abs/2210.17289 (2022) - 2021
- [j1]Beomseok Kang
, Anni Lu, Yun Long, Daehyun Kim, Shimeng Yu, Saibal Mukhopadhyay:
Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 649-662 (2021)
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