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2020 – today
- 2025
[c19]Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint. ICLR 2025- [c18]Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay:
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks. ICML 2025 - [c17]Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay:
Adaptive Graph Structure Inference for Learning Multivariate Point Processes using Spiking Neural Networks. IJCNN 2025: 1-8 - [i22]Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay:
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks. CoRR abs/2504.01246 (2025) - [i21]Biswadeep Chakraborty, Saibal Mukhopadhyay:
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning. CoRR abs/2504.01257 (2025) - 2024
- [c16]Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay:
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator. CoRL 2024: 3474-3499 - [c15]Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay:
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. ICLR 2024 - [c14]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks. IJCNN 2024: 1-8 - [c13]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 - [c12]Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay:
STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents. L4DC 2024: 1427-1439 - [c11]Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Online Relational Inference for Evolving Multi-agent Interacting Systems. NeurIPS 2024 - [i20]Hemant Kumawat
, Biswadeep Chakraborty, Saibal Mukhopadhyay:
STEMFold: Stochastic Temporal Manifold for Multi-Agent Interactions in the Presence of Hidden Agents. CoRR abs/2401.14522 (2024) - [i19]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) - [i18]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) - [i17]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks. CoRR abs/2403.12462 (2024) - [i16]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) - [i15]Harshit Kumar, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation. CoRR abs/2404.13125 (2024) - [i14]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing. CoRR abs/2407.06452 (2024) - [i13]Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay:
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator. CoRR abs/2409.03107 (2024) - [i12]Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Online Relational Inference for Evolving Multi-agent Interacting Systems. CoRR abs/2411.01442 (2024) - [i11]Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay:
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks. CoRR abs/2412.07243 (2024) - 2023
- [j7]Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Saibal Mukhopadhyay:
XMD: An Expansive Hardware-Telemetry-Based Mobile Malware Detector for Endpoint Detection. IEEE Trans. Inf. Forensics Secur. 18: 5906-5919 (2023) - [c10]Biswadeep Chakraborty, Uday Kamal, Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay:
Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. DATE 2023: 1-6 - [c9]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles. ICLR 2023 - [c8]Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. ICLR 2023 - [c7]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. IJCNN 2023: 1-8 - [c6]Nathan Eli Miller, Biswadeep Chakraborty, Saibal Mukhopadhyay:
A Reconfigurable Quantum State Tomography Solver in FPGA. QCE 2023: 1412-1421 - [i10]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles. CoRR abs/2302.11618 (2023) - [i9]Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay:
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. CoRR abs/2302.11622 (2023) - [i8]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. CoRR abs/2304.04697 (2023) - 2022
- [j6]Biswadeep Chakraborty, Saibal Mukhopadhyay:
μDARTS: Model Uncertainty-Aware Differentiable Architecture Search. IEEE Access 10: 98670-98682 (2022) - [i7]Harshit Kumar, Biswadeep Chakraborty, Sudarshan Sharma, Nikhil Chawla, Saibal Mukhopadhyay:
XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection. CoRR abs/2206.12447 (2022) - [i6]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification. CoRR abs/2211.04297 (2022) - 2021
- [j5]Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, Mohan Gurusamy:
Cost-Aware Feature Selection for IoT Device Classification. IEEE Internet Things J. 8(14): 11052-11064 (2021) - [j4]Biswadeep Chakraborty, Lidia Ghosh, Amit Konar:
Optimal Selection of EEG Electrodes Using Interval Type-2 Fuzzy-Logic-Based Semiseparating Signaling Game. IEEE Trans. Cybern. 51(12): 6200-6212 (2021) - [j3]Biswadeep Chakraborty, Xueyuan She, Saibal Mukhopadhyay:
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection. IEEE Trans. Image Process. 30: 9014-9029 (2021) - [j2]Archisman Ghosh, Biswadeep Chakraborty, Arnab Raha, Amitava Mukherjee:
Improving Network Throughput by Hardware Realization of a Dynamic Content Caching Scheme for Information-Centric Networking (ICN). Wirel. Pers. Commun. 116(4): 2873-2898 (2021) - [c5]Minah Lee, Xueyuan She, Biswadeep Chakraborty, Saurabh Dash, Burhan Ahmad Mudassar, Saibal Mukhopadhyay:
Reliable Edge Intelligence in Unreliable Environment. DATE 2021: 896-901 - [i5]Biswadeep Chakraborty, Xueyuan She, Saibal Mukhopadhyay:
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection. CoRR abs/2104.10719 (2021) - [i4]Biswadeep Chakraborty, Saibal Mukhopadhyay:
Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks. CoRR abs/2105.14677 (2021) - [i3]Biswadeep Chakraborty, Saibal Mukhopadhyay:
$μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search. CoRR abs/2107.11500 (2021) - 2020
- [j1]Biswadeep Chakraborty, Lidia Ghosh, Amit Konar:
Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing. IEEE Trans. Biomed. Eng. 67(7): 2064-2072 (2020) - [c4]Dipayan Dewan, Lidia Ghosh, Biswadeep Chakraborty, Abir Chowdhury, Amit Konar, Atulya K. Nagar:
Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach. IJCNN 2020: 1-8 - [i2]Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, Mohan Gurusamy:
Cost-aware Feature Selection for IoT Device Classification. CoRR abs/2009.01368 (2020)
2010 – 2019
- 2019
- [c3]Oussama Abderrahmane Dambri, Soumaya Cherkaoui, Biswadeep Chakraborty:
Design and Evaluation of Self-Assembled Actin-Based Nano-Communication. IWCMC 2019: 208-213 - [c2]Abir Chowdhury, Biswadeep Chakraborty, Lidia Ghosh, Dipayan Dewan, Amit Konar:
A Dynamical Phase Synchronization Based Approach to Study the Effects of Long-Term Alcoholism on Functional Connectivity Dynamics. PReMI (2) 2019: 218-226 - [c1]Biswadeep Chakraborty, Saptak Ghosal, Lidia Ghosh, Amit Konar, Atulya K. Nagar:
Phase-Sensitive Common Spatial Pattern for EEG Classification. SMC 2019: 3654-3659 - [i1]Oussama Abderrahmane Dambri, Soumaya Cherkaoui, Biswadeep Chakraborty:
Design and Evaluation of Self-Assembled Actin-Based Nano-Communication. CoRR abs/1903.08272 (2019)
Coauthor Index
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