Biswadeep Chakraborty
Orcid: 0000-0002-6984-6907
According to our database1,
Biswadeep Chakraborty
authored at least 31 papers
between 2019 and 2024.
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Bibliography
2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks.
CoRR, 2024
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator.
CoRR, 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing.
CoRR, 2024
Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation.
CoRR, 2024
Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction.
CoRR, 2024
STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2024
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
XMD: An Expansive Hardware-Telemetry-Based Mobile Malware Detector for Endpoint Detection.
IEEE Trans. Inf. Forensics Secur., 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
CoRR, 2022
XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection.
CoRR, 2022
IEEE Access, 2022
2021
Improving Network Throughput by Hardware Realization of a Dynamic Content Caching Scheme for Information-Centric Networking (ICN).
Wirel. Pers. Commun., 2021
IEEE Trans. Image Process., 2021
Optimal Selection of EEG Electrodes Using Interval Type-2 Fuzzy-Logic-Based Semiseparating Signaling Game.
IEEE Trans. Cybern., 2021
IEEE Internet Things J., 2021
Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks.
CoRR, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
2020
Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing.
IEEE Trans. Biomed. Eng., 2020
Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
A Dynamical Phase Synchronization Based Approach to Study the Effects of Long-Term Alcoholism on Functional Connectivity Dynamics.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019