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Darshan Gadginmath
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2020 – today
- 2024
- [i6]Karthik Elamvazhuthi, Darshan Gadginmath, Fabio Pasqualetti:
Denoising Diffusion-Based Control of Nonlinear Systems. CoRR abs/2402.02297 (2024) - [i5]Shiqi Zhang, Darshan Gadginmath, Fabio Pasqualetti:
Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator. CoRR abs/2406.02723 (2024) - 2023
- [c3]Claudio De Persis, Darshan Gadginmath, Fabio Pasqualetti, Pietro Tesi:
Data-Driven Feedback Linearization with Complete Dictionaries. CDC 2023: 3037-3042 - [i4]Claudio De Persis, Darshan Gadginmath, Fabio Pasqualetti, Pietro Tesi:
Data-Driven Feedback Linearization with Complete Dictionaries. CoRR abs/2308.11229 (2023) - [i3]Darshan Gadginmath, Shivanshu Tripathi, Fabio Pasqualetti:
Fusing Multiple Algorithms for Heterogeneous Online Learning. CoRR abs/2312.05432 (2023) - 2022
- [c2]Darshan Gadginmath, Pavankumar Tallapragada:
Data-Guided Distributed Intersection Management for Connected and Automated Vehicles. ACC 2022: 767-774 - [c1]Darshan Gadginmath, Vishaal Krishnan, Fabio Pasqualetti:
Direct vs Indirect Methods for Behavior-based Attack Detection. CDC 2022: 7090-7096 - [i2]Darshan Gadginmath, Vishaal Krishnan, Fabio Pasqualetti:
Data-Driven Feedback Linearization using the Koopman Generator. CoRR abs/2210.05046 (2022) - 2020
- [i1]Darshan Gadginmath, Pavankumar Tallapragada:
Safe Data-Driven Distributed Coordination of Intersection Traffic. CoRR abs/2005.03304 (2020)
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