Jonas Rothfuss

42 papers A* 6A 4Misc 2Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SequenceLayers: Sequence Processing and Streaming Neural Networks Made Easy. CoRR R. J. Skerry-Ryan, Julian Salazar, Soroosh Mariooryad, David Kao, Daisy Stanton, Eric Battenberg, Matt Shannon, Ron J. Weiss, Robin Scheibler, Jonas Rothfuss, Tom Bagby
2025	J	`jnl`	Simulation Priors for Data-Efficient Deep Learning. CoRR Lenart Treven, Bhavya Sukhija, Jonas Rothfuss, Stelian Coros, Florian Dörfler, Andreas Krause
2024	A	`conf`	Bridging the Sim-to-Real Gap with Bayesian Inference. IROS Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
2024	J	`jnl`	Bridging the Sim-to-Real Gap with Bayesian Inference. CoRR Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
2024	J	`jnl`	Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning. IEEE Robotics Autom. Lett. Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
2024	—	`—`	Meta-Learning Priors from Limited Data: From Theory to Practice. Jonas Rothfuss
2023	A	`conf`	BaCaDI: Bayesian Causal Discovery with Unknown Interventions. AISTATS Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause
2023	J	`jnl`	Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning. CoRR Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
2023	J	`jnl`	Hallucinated Adversarial Control for Conservative Offline Policy Evaluation. CoRR Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause
2023	A	`conf`	Hallucinated adversarial control for conservative offline policy evaluation. UAI Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause
2023	J	`jnl`	Instance-Dependent Generalization Bounds via Optimal Transport. J. Mach. Learn. Res. Songyan Hou, Parnian Kassraie, Anastasis Kratsios, Andreas Krause, Jonas Rothfuss
2023	A	`conf`	Lifelong bandit optimization: no prior and no regret. UAI Felix Schur, Parnian Kassraie, Jonas Rothfuss, Andreas Krause
2023	A*	`conf`	MARS: Meta-learning as Score Matching in the Function Space. ICLR Krunoslav Lehman Pavasovic, Jonas Rothfuss, Andreas Krause
2023	J	`jnl`	Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice. J. Mach. Learn. Res. Jonas Rothfuss, Martin Josifoski, Vincent Fortuin, Andreas Krause
2022	A*	`conf`	Amortized Inference for Causal Structure Learning. NeurIPS Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf
2022	J	`jnl`	Amortized Inference for Causal Structure Learning. CoRR Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf
2022	J	`jnl`	BaCaDI: Bayesian Causal Discovery with Unknown Interventions. CoRR Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause
2022	J	`jnl`	Instance-Dependent Generalization Bounds via Optimal Transport. CoRR Songyan Hou, Parnian Kassraie, Anastasis Kratsios, Jonas Rothfuss, Andreas Krause
2022	J	`jnl`	Lifelong Bandit Optimization: No Prior and No Regret. CoRR Felix Schur, Parnian Kassraie, Jonas Rothfuss, Andreas Krause
2022	J	`jnl`	MARS: Meta-Learning as Score Matching in the Function Space. CoRR Krunoslav Lehman Pavasovic, Jonas Rothfuss, Andreas Krause
2022	A*	`conf`	Meta-Learning Hypothesis Spaces for Sequential Decision-making. ICML Parnian Kassraie, Jonas Rothfuss, Andreas Krause
2022	J	`jnl`	Meta-Learning Hypothesis Spaces for Sequential Decision-making. CoRR Parnian Kassraie, Jonas Rothfuss, Andreas Krause
2022	Misc	`conf`	Meta-Learning Priors for Safe Bayesian Optimization. CoRL Jonas Rothfuss, Christopher König, Alisa Rupenyan, Andreas Krause
2022	J	`jnl`	Meta-Learning Priors for Safe Bayesian Optimization. CoRR Jonas Rothfuss, Christopher König, Alisa Rupenyan, Andreas Krause
2022	J	`jnl`	PAC-Bayesian Meta-Learning: From Theory to Practice. CoRR Jonas Rothfuss, Martin Josifoski, Vincent Fortuin, Andreas Krause
2021	A*	`conf`	DiBS: Differentiable Bayesian Structure Learning. NeurIPS Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause
2021	J	`jnl`	DiBS: Differentiable Bayesian Structure Learning. CoRR Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause
2021	A*	`conf`	Meta-Learning Reliable Priors in the Function Space. NeurIPS Jonas Rothfuss, Dominique Heyn, Jinfan Chen, Andreas Krause
2021	J	`jnl`	Meta-Learning Reliable Priors in the Function Space. CoRR Jonas Rothfuss, Dominique Heyn, Jinfan Chen, Andreas Krause
2021	A*	`conf`	PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees. ICML Jonas Rothfuss, Vincent Fortuin, Martin Josifoski, Andreas Krause
2021	J	`jnl`	Robustness to Pruning Predicts Generalization in Deep Neural Networks. CoRR Lorenz Kuhn, Clare Lyle, Aidan N. Gomez, Jonas Rothfuss, Yarin Gal
2021	J	`jnl`	Variational Causal Networks: Approximate Bayesian Inference over Causal Structures. CoRR Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer
2020	J	`jnl`	PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees. CoRR Jonas Rothfuss, Vincent Fortuin, Andreas Krause
2019	J	`jnl`	Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks. CoRR Jonas Rothfuss, Fábio Ferreira, Simon Walther, Maxim Ulrich
2019	J	`jnl`	Noise Regularization for Conditional Density Estimation. CoRR Jonas Rothfuss, Fábio Ferreira, Simon Boehm, Simon Walther, Maxim Ulrich, Tamim Asfour, Andreas Krause
2019	—	`conf`	ProMP: Proximal Meta-Policy Search. ICLR (Poster) Jonas Rothfuss, Dennis Lee, Ignasi Clavera, Tamim Asfour, Pieter Abbeel
2018	J	`jnl`	Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution. CoRR Jonas Rothfuss, Fábio Ferreira, Eren Erdal Aksoy, You Zhou, Tamim Asfour
2018	J	`jnl`	Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution. IEEE Robotics Autom. Lett. Jonas Rothfuss, Fábio Ferreira, Eren Erdal Aksoy, You Zhou, Tamim Asfour
2018	J	`jnl`	Introducing the Simulated Flying Shapes and Simulated Planar Manipulator Datasets. CoRR Fábio Ferreira, Jonas Rothfuss, Eren Erdal Aksoy, You Zhou, Tamim Asfour
2018	Misc	`conf`	Model-Based Reinforcement Learning via Meta-Policy Optimization. CoRL Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel
2018	J	`jnl`	Model-Based Reinforcement Learning via Meta-Policy Optimization. CoRR Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel
2018	J	`jnl`	ProMP: Proximal Meta-Policy Search. CoRR Jonas Rothfuss, Dennis Lee, Ignasi Clavera, Tamim Asfour, Pieter Abbeel