Yarden As

According to our database, Yarden As authored at least 16 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery.

Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl

CoRR, August, 2025

Learning Safety Constraints for Large Language Models.

Xin Chen, Yarden As, Andreas Krause

CoRR, May, 2025

Safe-EF: Error Feedback for Nonsmooth Constrained Optimization.

Rustem Islamov, Yarden As, Ilyas Fatkhullin

CoRR, May, 2025

Stochastic Model Predictive Control for Sub-Gaussian Noise.

Yunke Ao, Johannes Köhler, Manish Prajapat, Yarden As, Melanie Nicole Zeilinger, Philipp Fürnstahl, Andreas Krause

CoRR, March, 2025

Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning.

Kaixi Bao, Chenhao Li, Yarden As, Andreas Krause, Marco Hutter

CoRR, February, 2025

SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement.

Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Christoph J. Laux, Yarden As, Ruixuan Li, Kaat Van Assche, Ayoob Davoodi, Nicola Alessandro Cavalcanti, Mazda Farshad, Benjamin F. Grewe, Emmanuel B. Vander Poorten, Andreas Krause, Philipp Fürnstahl

Medical Image Anal., 2025

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning.

Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning.

Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause

IEEE Robotics Autom. Lett., 2024

Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning.

Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause

J. Mach. Learn. Res., 2024

Safe Exploration Using Bayesian World Models and Log-Barrier Optimization.

Yarden As, Bhavya Sukhija, Andreas Krause

CoRR, 2024

Information-based Transductive Active Learning.

Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

CoRR, 2024

Active Few-Shot Fine-Tuning.

Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

CoRR, 2024

When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL.

Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Transductive Active Learning: Theory and Applications.

Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement.

Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl

CoRR, 2023

2022

Constrained Policy Optimization via Bayesian World Models.

Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause

Proceedings of the Tenth International Conference on Learning Representations, 2022