Timezone: »
Invited talk: Federico Felici, "Magnetic control of tokamak plasmas through Deep Reinforcement Learning"
Federico Felici · Siddharth Mishra-Sharma
Author Information
Federico Felici (EPFL, Swiss Plasma Center)
Federico Felici is a Research Scientist at the Swiss Plasma Center (SPC) at EPFL, Lausanne. He holds an MSc degree in Systems & Control from Delft University of Technology (2005) and a PhD in Plasma Physics from the Swiss Plasma Center at EPFL, Switzerland (2011). He currently leads the research activities at SPC-EPFL in the area of advanced plasma control. His current research interests include all aspects of tokamak plasma control and control-oriented plasma modelling, with a strong focus on model-based approaches for practical implementation of control across various current and future fusion research devices.
Siddharth Mishra-Sharma (MIT)
More from the Same Authors
-
2021 : Inferring dark matter substructure with global astrometry beyond the power spectrum »
Siddharth Mishra-Sharma -
2021 : Characterizing γ-ray maps of the Galactic Center with neural density estimation »
Siddharth Mishra-Sharma · Kyle Cranmer -
2023 Workshop: NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences »
Brian Nord · Atilim Gunes Baydin · Adji Bousso Dieng · Emine Kucukbenli · Siddharth Mishra-Sharma · Benjamin Nachman · Kyle Cranmer · Gilles Louppe · Savannah Thais -
2022 : Invited talk: Catherine Nakalembe and Hannah Kerner »
Catherine Nakalembe · Hannah Kerner · Siddharth Mishra-Sharma -
2022 : Contributed talk: Alexandre Adam, "Posterior samples of source galaxies in strong gravitational lenses with score-based priors" »
Alexandre Adam · Siddharth Mishra-Sharma -
2022 : Contributed talk: Aurélien Dersy, "Simplifying Polylogarithms with Machine Learning" »
Aurelien Dersy · Siddharth Mishra-Sharma -
2022 : Invited talk: Vinicius Mikuni, "Collider Physics Innovations Powered by Machine Learning" »
Vinicius Mikuni · Siddharth Mishra-Sharma -
2022 : Invited talk: E. Doğuş Çubuk, "Scaling up material discovery via deep learning" »
Ekin Dogus Cubuk · Siddharth Mishra-Sharma -
2022 : Contributed talk: Marco Aversa, "Physical Data Models in Machine Learning Imaging Pipelines" »
Marco Aversa · Siddharth Mishra-Sharma -
2022 : Invited talk: Hiranya Peiris, "Prospects for understanding the physics of the Universe" »
Hiranya Peiris · Siddharth Mishra-Sharma -
2022 : Contributed talk: Kieran Murphy, "Characterizing information loss in a chaotic double pendulum with the Information Bottleneck" »
Kieran Murphy · Siddharth Mishra-Sharma -
2022 : Invited talk: David Pfau, "Deep Learning and Ab-Initio Quantum Chemistry and Materials" »
David Pfau · Siddharth Mishra-Sharma -
2022 Workshop: Machine Learning and the Physical Sciences »
Atilim Gunes Baydin · Adji Bousso Dieng · Emine Kucukbenli · Gilles Louppe · Siddharth Mishra-Sharma · Benjamin Nachman · Brian Nord · Savannah Thais · Anima Anandkumar · Kyle Cranmer · Lenka Zdeborová · Rianne van den Berg