Joe Watson - RankMe

37 papers A* 2A 1C 1Misc 2Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention. CoRR Markus W. Baumgartner, Anson Lei, Joe Watson, Ingmar Posner
2026	J	`jnl`	Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces. CoRR Hamish Flynn, Joe Watson, Ingmar Posner, Jan Peters
2025	J	`jnl`	A Novel Framework for Augmenting Rating Scale Tests with LLM-Scored Text Data. CoRR Joe Watson, Ivan O'Conner, Chia-Wen Chen, Luning Sun, Fang Luo, David Stillwell
2025	J	`jnl`	Building Gradient by Gradient: Decentralised Energy Functions for Bimanual Robot Assembly. CoRR Alexander L. Mitchell, Joe Watson, Ingmar Posner
2025	J	`jnl`	Global Tensor Motion Planning. IEEE Robotics Autom. Lett. An T. Le, Kay Pompetzki, João Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters
2025	J	`jnl`	Machine Learning with Physics Knowledge for Prediction: A Survey. Trans. Mach. Learn. Res. Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann
2025	J	`jnl`	Towards Safe Robot Foundation Models Using Inductive Biases. CoRR Maximilian Tölle, Theo Gruner, Daniel Palenicek, Tim Schneider, Jonas Günster, Joe Watson, Davide Tateo, Puze Liu, Jan Peters
2025	J	`jnl`	Towards Safe Robot Foundation Models. CoRR Maximilian Tölle, Theo Gruner, Daniel Palenicek, Jonas Günster, Puze Liu, Joe Watson, Davide Tateo, Jan Peters
2025	J	`jnl`	XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning. CoRR Daniel Palenicek, Florian Vogt, Joe Watson, Ingmar Posner, Jan Peters
2024	J	`jnl`	Global Tensor Motion Planning. CoRR An T. Le, Kay Hansel, João Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters
2024	J	`jnl`	Machine Learning with Physics Knowledge for Prediction: A Survey. CoRR Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An T. Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann
2023	J	`jnl`	An exploratory investigation into the factors related to EdTech use among Kenyan girls. Br. J. Educ. Technol. Joe Watson, Jasmin Baier, Winnie Mughogho, Mark Millrine
2023	A*	`conf`	Coherent Soft Imitation Learning. NeurIPS Joe Watson, Sandy H. Huang, Nicolas Heess
2023	J	`jnl`	Coherent Soft Imitation Learning. CoRR Joe Watson, Sandy H. Huang, Nicolas Heess
2023	J	`jnl`	Function-Space Regularization for Deep Bayesian Classification. CoRR Jihao Andreas Lin, Joe Watson, Pascal Klink, Jan Peters
2023	J	`jnl`	Using machine learning to create a repository of judgments concerning a new practice area: a case study in animal protection law. Artif. Intell. Law Joe Watson, Guy Aglionby, Samuel March
2022	J	`jnl`	Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. IEEE Robotics Autom. Lett. Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters
2022	Misc	`conf`	Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. CoRL Joe Watson, Jan Peters
2022	J	`jnl`	Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. CoRR Joe Watson, Jan Peters
2021	J	`jnl`	A Differentiable Newton-Euler Algorithm for Real-World Robotics. CoRR Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
2021	J	`jnl`	A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf
2021	C	`conf`	Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk. ACC Joe Watson, Jan Peters
2021	J	`jnl`	Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk. CoRR Joe Watson, Jan Peters
2021	J	`jnl`	Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. CoRR Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters
2021	A*	`conf`	Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. ICRA Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
2021	A	`conf`	Latent Derivative Bayesian Last Layer Networks. AISTATS Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters
2021	—	`conf`	Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
2021	J	`jnl`	Stochastic Control through Approximate Bayesian Input Inference. CoRR Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters
2021	J	`jnl`	The relationship between educational television and mathematics capability in Tanzania. Br. J. Educ. Technol. Joe Watson, Sara Hennessy, Anna Vignoles
2020	J	`jnl`	A Differentiable Newton Euler Algorithm for Multi-body Model Learning. CoRR Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
2020	—	`conf`	Active Inference or Control as Inference? A Unifying View. IWAI Abraham Imohiosen, Joe Watson, Jan Peters
2020	J	`jnl`	Active Inference or Control as Inference? A Unifying View. CoRR Joe Watson, Abraham Imohiosen, Jan Peters
2020	J	`jnl`	Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. CoRR Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
2019	Misc	`conf`	Stochastic Optimal Control as Approximate Input Inference. CoRL Joe Watson, Hany Abdulsamad, Jan Peters
2019	J	`jnl`	Stochastic Optimal Control as Approximate Input Inference. CoRR Joe Watson, Hany Abdulsamad, Jan Peters
2017	—	`conf`	Real-World, Real-Time Robotic Grasping with Convolutional Neural Networks. TAROS Joe Watson, Josie Hughes, Fumiya Iida
2013	—	`conf`	Choosing the Infrastructure for Entertainment and Serious Computer Games - a Whiteroom Benchmark for Game Engine Selection. VS-GAMES Eike Falk Anderson, Leigh McLoughlin, Joe Watson, Sam Holmes, Peter Jones, Hayden Pallett, Brendan Smith