Craig Innes - RankMe

33 papers A* 5A 6Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Heuristic Adaptation of Potentially Misspecified Domain Support for Likelihood-Free Inference in Stochastic Dynamical Systems. CoRR Georgios Kamaras, Craig Innes, Subramanian Ramamoorthy
2025	J	`jnl`	LTL-based conformance checking of fuzzy event logs. Process Sci. Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali
2024	A	`conf`	Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations. IROS Craig Innes, Subramanian Ramamoorthy
2024	J	`jnl`	Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations. CoRR Craig Innes, Subramanian Ramamoorthy
2024	A	`conf`	Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications. BPM Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali
2024	J	`jnl`	Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications. CoRR Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali
2024	J	`jnl`	Unobtrusive Monitoring of Physical Weakness: A Simulated Approach. CoRR Longfei Chen, Muhammad Ahmed Raza, Craig Innes, Subramanian Ramamoorthy, Robert B. Fisher
2023	—	`conf`	Anticipating Accidents through Reasoned Simulation. TAS Craig Innes, Andrew Ireland, Yuhui Lin, Subramanian Ramamoorthy
2023	J	`jnl`	Anticipating Accidents through Reasoned Simulation. CoRR Craig Innes, Andrew Ireland, Yuhui Lin, Subramanian Ramamoorthy
2023	J	`jnl`	Dialogue-based generation of self-driving simulation scenarios using Large Language Models. CoRR Antonio Valerio Miceli Barone, Alex Lascarides, Craig Innes
2023	J	`jnl`	Learning rewards from exploratory demonstrations using probabilistic temporal ranking. Auton. Robots Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
2023	A*	`conf`	Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models. ICRA Craig Innes, Subramanian Ramamoorthy
2022	A*	`conf`	Automated Testing With Temporal Logic Specifications for Robotic Controllers Using Adaptive Experiment Design. ICRA Craig Innes, Subramanian Ramamoorthy
2022	A	`conf`	Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. IROS Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy
2022	J	`jnl`	Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. CoRR Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy
2022	A*	`conf`	Risk-Driven Design of Perception Systems. NeurIPS Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer
2022	J	`jnl`	Risk-Driven Design of Perception Systems. CoRR Anthony L. Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer
2022	A	`conf`	Robust Learning from Observation with Model Misspecification. AAMAS Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
2022	J	`jnl`	Robust Learning from Observation with Model Misspecification. CoRR Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
2022	J	`jnl`	Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models. CoRR Craig Innes, Subramanian Ramamoorthy
2021	J	`jnl`	Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design. CoRR Craig Innes, Subramanian Ramamoorthy
2021	J	`jnl`	Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications. CoRR Craig Innes, Yordan Hristov, Georgios Kamaras, Subramanian Ramamoorthy
2021	A*	`conf`	ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. ICRA Craig Innes, Subramanian Ramamoorthy
2020	—	`conf`	Elaborating on Learned Demonstrations with Temporal Logic Specifications. Robotics: Science and Systems Craig Innes, Subramanian Ramamoorthy
2020	J	`jnl`	Elaborating on Learned Demonstrations with Temporal Logic Specifications. CoRR Craig Innes, Subramanian Ramamoorthy
2020	J	`jnl`	Learning robotic ultrasound scanning using probabilistic temporal ranking. CoRR Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
2020	J	`jnl`	ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. CoRR Craig Innes, Subramanian Ramamoorthy
2019	A	`conf`	Learning Factored Markov Decision Processes with Unawareness. AAMAS Craig Innes, Alex Lascarides
2019	A	`conf`	Learning Factored Markov Decision Processes with Unawareness. UAI Craig Innes, Alex Lascarides
2019	J	`jnl`	Learning Factored Markov Decision Processes with Unawareness. CoRR Craig Innes, Alex Lascarides
2019	A*	`conf`	Learning Structured Decision Problems with Unawareness. ICML Craig Innes, Alex Lascarides
2019	—	`—`	Learning to make decisions with unforeseen possibilities. Craig Innes
2018	J	`jnl`	Reasoning about Unforeseen Possibilities During Policy Learning. CoRR Craig Innes, Alex Lascarides, Stefano V. Albrecht, Subramanian Ramamoorthy, Benjamin Rosman