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Hany Abdulsamad

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Nesting Particle Filters for Experimental Design in Dynamical Systems

Feb 12, 2024
Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad

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Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing

Dec 21, 2023
Hany Abdulsamad, Sahel Iqbal, Adrien Corenflos, Simo Särkkä

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A Recursive Newton Method for Smoothing in Nonlinear State Space Models

Jun 15, 2023
Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä

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Variational Gaussian filtering via Wasserstein gradient flows

Mar 11, 2023
Adrie Corenflos, Hany Abdulsamad

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Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics

Nov 02, 2022
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters

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Model-Based Reinforcement Learning for Stochastic Hybrid Systems

Nov 11, 2021
Hany Abdulsamad, Jan Peters

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Stochastic Control through Approximate Bayesian Input Inference

May 17, 2021
Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters

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Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions

Mar 29, 2021
Hany Abdulsamad, Tim Dorau, Boris Belousov, Jia-Jie Zhu, Jan Peters

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A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning

Feb 25, 2021
Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen

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A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning

Nov 10, 2020
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters

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