2 citations · 3 across the 4 of their papers we have counts for
4 papers
FAIR Universe HiggsML Uncertainty Dataset and Competition
Lisa Benato, Wahid Bhimji, Paolo Calafiura +26
The FAIR Universe HiggsML Uncertainty Challenge focused on measuring the physical properties of elementary particles with imperfect simulators. Participants were required to comput…
Tsallis Entropy Regularization for Linear Quadratic Regulator and Kullback-Leibler Control
Yota Hashizume, Koshi Oishi, Kenji Kashima +1
Shannon entropy regularization is widely adopted in optimal control due to its ability to promote exploration and enhance robustness, e.g., maximum entropy reinforcement learning k…
Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning
Koshi Oishi, Yota Hashizume, Tomohiko Jimbo +2
Transport systems on networks are crucial in various applications, but face a significant risk of being adversely affected by unforeseen circumstances such as disasters. The applic…
Resilience Evaluation of Entropy Regularized Logistic Networks with Probabilistic Cost
Koshi Oishi, Yota Hashizume, Tomohiko Jimbo +2
The demand for resilient logistics networks has increased because of recent disasters. When we consider optimization problems, entropy regularization is a powerful tool for the div…