Adam J. Thorpe

43 papers A* 2C 5Journal 27Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces. ICML Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu
2025	J	`jnl`	Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces. CoRR Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu
2025	J	`jnl`	Function Spaces Without Kernels: Learning Compact Hilbert Space Representations. CoRR Su Ann Low, Quentin Rommel, Kevin S. Miller, Adam J. Thorpe, Ufuk Topcu
2025	J	`jnl`	Learning Generalizable Neural Operators for Inverse Problems. CoRR Adam J. Thorpe, Stepan Tretiakov, Dibakar Roy Sarkar, Krishna Kumar, Ufuk Topcu
2025	J	`jnl`	Online Adaptation of Terrain-Aware Dynamics for Planning in Unstructured Environments. CoRR William Ward, Sarah Etter, Tyler Ingebrand, Christian Ellis, Adam J. Thorpe, Ufuk Topcu
2025	C	`conf`	Symbolic Regression on Sparse and Noisy Data with Gaussian Processes. ACC Junette Hsin, Shubhankar Agarwal, Adam J. Thorpe, Luis Sentis, David Fridovich-Keil
2025	J	`jnl`	Zero to Autonomy in Real-Time: Online Adaptation of Dynamics in Unstructured Environments. CoRR William Ward, Sarah Etter, Jesse Quattrociocchi, Christian Ellis, Adam J. Thorpe, Ufuk Topcu
2025	J	`jnl`	Zero-Shot Function Encoder-Based Differentiable Predictive Control. CoRR Hassan Iqbal, Xingjian Li, Tyler Ingebrand, Adam J. Thorpe, Krishna Kumar, Ufuk Topcu, Ján Drgona
2024	J	`jnl`	Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets. CoRR Hamzah Khan, Adam J. Thorpe, David Fridovich-Keil
2024	—	`conf`	Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process. CDC Kevin S. Miller, Adam J. Thorpe, Ufuk Topcu
2024	J	`jnl`	Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process. CoRR Kevin S. Miller, Adam J. Thorpe, Ufuk Topcu
2024	J	`jnl`	Basis-to-Basis Operator Learning Using Function Encoders. CoRR Tyler Ingebrand, Adam J. Thorpe, Somdatta Goswami, Krishna Kumar, Ufuk Topcu
2024	J	`jnl`	Characterizing the Effect of Mind Wandering on Braking Dynamics in Partially Autonomous Vehicles. ACM Trans. Cyber Phys. Syst. Harini Sridhar, Gaojian Huang, Adam J. Thorpe, Meeko Oishi, Brandon J. Pitts
2024	—	`conf`	Online Learning of Dynamical Systems Using Low-Rank Updates to Physics-Informed Kernel Distribution Embeddings. CDC Kendric R. Ortiz, Rachel DiPirro, Adam J. Thorpe, Meeko Oishi
2024	C	`conf`	Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control. ACC Adam J. Thorpe, Cyrus Neary, Franck Djeumou, Meeko M. K. Oishi, Ufuk Topcu
2024	—	`conf`	Sensing Resource Allocation Against Data-Poisoning Attacks in Traffic Routing. CDC Yue Yu, Adam J. Thorpe, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu
2024	C	`conf`	Using Reward Shaping to Train Cognitive-Based Control Policies for Intelligent Tutoring Systems. ACC Madeleine Yuh, Ethan Rabb, Adam J. Thorpe, Neera Jain
2024	A*	`conf`	Zero-Shot Transfer of Neural ODEs. NeurIPS Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu
2024	J	`jnl`	Zero-Shot Transfer of Neural ODEs. CoRR Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu
2023	C	`conf`	Data-Driven Stochastic Optimal Control Using Kernel Gradients. ACC Adam J. Thorpe, Jake A. Gonzales, Meeko M. K. Oishi
2023	J	`jnl`	GPSINDy: Data-Driven Discovery of Equations of Motion. CoRR Junette Hsin, Shubhankar Agarwal, Adam J. Thorpe, David Fridovich-Keil
2023	J	`jnl`	Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control. CoRR Adam J. Thorpe, Cyrus Neary, Franck Djeumou, Meeko M. K. Oishi, Ufuk Topcu
2023	J	`jnl`	Refining Human-Centered Autonomy Using Side Information. CoRR Adam J. Thorpe
2022	J	`jnl`	Characterizing Within-Driver Variability in Driving Dynamics During Obstacle Avoidance Maneuvers. CoRR Kendric R. Ortiz, Adam J. Thorpe, AnaMaria Perez, Maya Luster, Brandon J. Pitts, Meeko Oishi
2022	—	`conf`	Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. L4DC Adam J. Thorpe, Thomas Lew, Meeko Oishi, Marco Pavone
2022	J	`jnl`	Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. CoRR Adam J. Thorpe, Thomas Lew, Meeko M. K. Oishi, Marco Pavone
2022	J	`jnl`	Data-Driven Stochastic Optimal Control Using Kernel Gradients. CoRR Adam J. Thorpe, Jake A. Gonzales, Meeko M. K. Oishi
2022	—	`conf`	SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods. HSCC Adam J. Thorpe, Meeko Oishi
2022	J	`jnl`	SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods. CoRR Adam J. Thorpe, Meeko M. K. Oishi
2022	J	`jnl`	Sensor Selection for Dynamics-Driven User-Interface Design. IEEE Trans. Control. Syst. Technol. Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi
2022	J	`jnl`	State-based confidence bounds for data-driven stochastic reachability using Hilbert space embeddings. Autom. Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
2021	—	`conf`	ARCH-COMP21 Category Report: Stochastic Models. ARCH@ADHS Alessandro Abate, Henk A. P. Blom, Marc Bouissou, Nathalie Cauchi, Hassane Chraibi, Joanna Delicaris, Sofie Haesaert, Arnd Hartmanns, Mahmoud Khaled, Abolfazl Lavaei, Hao Ma, Kaushik Mallik, Mathis Niehage, Anne Remke, Stefan Schupp, Fedor Shmarov, Sadegh Soudjani, Adam J. Thorpe, Vlad Turcuman, Paolo Zuliani
2021	C	`conf`	Approximate Stochastic Reachability for High Dimensional Systems. ACC Adam J. Thorpe, Vignesh Sivaramakrishnan, Meeko M. K. Oishi
2021	—	`conf`	Learning Approximate Forward Reachable Sets Using Separating Kernels. L4DC Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
2021	—	`conf`	SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions. CDC Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
2021	—	`conf`	Stochastic Optimal Control via Hilbert Space Embeddings of Distributions. CDC Adam J. Thorpe, Meeko M. K. Oishi
2021	J	`jnl`	Stochastic Optimal Control via Hilbert Space Embeddings of Distributions. CoRR Adam J. Thorpe, Meeko M. K. Oishi
2020	J	`jnl`	Data-Driven Stochastic Reachability Using Hilbert Space Embeddings. CoRR Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
2020	J	`jnl`	Model-Free Stochastic Reachability Using Kernel Distribution Embeddings. IEEE Control. Syst. Lett. Adam J. Thorpe, Meeko M. K. Oishi
2020	J	`jnl`	SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions. CoRR Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
2020	J	`jnl`	Trust-based user-interface design for human-automation systems. CoRR Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi
2019	J	`jnl`	Model-Free Stochastic Reachability Using Kernel Distribution Embeddings. CoRR Adam J. Thorpe, Meeko M. K. Oishi
2019	J	`jnl`	Stochastic Reachability for Systems up to a Million Dimensions. CoRR Adam J. Thorpe, Vignesh Sivaramakrishnan, Meeko M. K. Oishi