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Craig Innes
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2020 – today
- 2024
- [c12]Ivan Donadello
, Paolo Felli
Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications. BPM 2024: 39-56 - [i16]Craig Innes, Subramanian Ramamoorthy:
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations. CoRR abs/2405.15771 (2024) - [i15]Longfei Chen, Muhammad Ahmed Raza, Craig Innes, Subramanian Ramamoorthy, Robert B. Fisher:
Unobtrusive Monitoring of Physical Weakness: A Simulated Approach. CoRR abs/2406.10045 (2024) - [i14]Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali:
Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications. CoRR abs/2406.12078 (2024) - 2023
- [j1]Michael Burke
Learning rewards from exploratory demonstrations using probabilistic temporal ranking. Auton. Robots 47(6): 733-751 (2023) - [c11]Craig Innes, Subramanian Ramamoorthy:
Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models. ICRA 2023: 12744-12750 - [c10]Craig Innes
Anticipating Accidents through Reasoned Simulation. TAS 2023: 4:1-4:11 - [i13]Craig Innes, Andrew Ireland, Yuhui Lin, Subramanian Ramamoorthy:
Anticipating Accidents through Reasoned Simulation. CoRR abs/2306.04499 (2023) - [i12]Antonio Valerio Miceli Barone
Dialogue-based generation of self-driving simulation scenarios using Large Language Models. CoRR abs/2310.17372 (2023) - 2022
- [c9]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. AAMAS 2022: 1337-1345 - [c8]Craig Innes, Subramanian Ramamoorthy:
Automated Testing With Temporal Logic Specifications for Robotic Controllers Using Adaptive Experiment Design. ICRA 2022: 6814-6821 - [c7]Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy:
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. IROS 2022: 11031-11038 - [c6]Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. NeurIPS 2022 - [i11]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. CoRR abs/2202.06003 (2022) - [i10]Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy:
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. CoRR abs/2202.12977 (2022) - [i9]Anthony L. Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. CoRR abs/2205.10677 (2022) - [i8]Craig Innes, Subramanian Ramamoorthy:
Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models. CoRR abs/2209.09674 (2022) - 2021
- [c5]Craig Innes, Subramanian Ramamoorthy:
ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. ICRA 2021: 9446-9452 - [i7]Craig Innes, Yordan Hristov, Georgios Kamaras, Subramanian Ramamoorthy:
Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications. CoRR abs/2107.00093 (2021) - [i6]Craig Innes, Subramanian Ramamoorthy:
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design. CoRR abs/2109.08071 (2021) - 2020
- [c4]Craig Innes, Subramanian Ramamoorthy:
Elaborating on Learned Demonstrations with Temporal Logic Specifications. Robotics: Science and Systems 2020 - [i5]Craig Innes, Subramanian Ramamoorthy:
Elaborating on Learned Demonstrations with Temporal Logic Specifications. CoRR abs/2002.00784 (2020) - [i4]Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy:
Learning robotic ultrasound scanning using probabilistic temporal ranking. CoRR abs/2002.01240 (2020) - [i3]Craig Innes, Subramanian Ramamoorthy:
ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. CoRR abs/2011.01126 (2020)
2010 – 2019
- 2019
- [b1]Craig Innes:
Learning to make decisions with unforeseen possibilities. University of Edinburgh, UK, 2019 - [c3]Craig Innes, Alex Lascarides:
Learning Factored Markov Decision Processes with Unawareness. AAMAS 2019: 2030-2032 - [c2]Craig Innes, Alex Lascarides:
Learning Structured Decision Problems with Unawareness. ICML 2019: 2941-2950 - [c1]Craig Innes, Alex Lascarides:
Learning Factored Markov Decision Processes with Unawareness. UAI 2019: 123-133 - [i2]Craig Innes, Alex Lascarides:
Learning Factored Markov Decision Processes with Unawareness. CoRR abs/1902.10619 (2019) - 2018
- [i1]Craig Innes, Alex Lascarides, Stefano V. Albrecht, Subramanian Ramamoorthy, Benjamin Rosman:
Reasoning about Unforeseen Possibilities During Policy Learning. CoRR abs/1801.03331 (2018)
Coauthor Index
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