Shedding Light on Time Series Classification using Interpretability Gated Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification.
CoRR, 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Personalized Data-Driven State Models of the Circadian Dynamics in a Biometric Signal.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots.
CoRR, 2023
High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Weighted Clock Logic Point Process.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Optimal Control of Discrete-Time Multivariate Point Processes with Finite-Time Steady State.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Motion Profile Optimization in Industrial Robots using Reinforcement Learning.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023