Daniel Kumor

TL;DR: In this paper, the authors present a loophole-free violation of local realism using entangled photon pairs, ensuring that all relevant events in their Bell test are spacelike separated by placing the parties far enough apart and by using fast random number generators and high-speed polarization measurements.

TL;DR: In this paper, a 64-pixel free-space-coupled array of superconducting nanowire single photon detectors optimized for high detection efficiency in the near-infrared range is presented.

TL;DR: This paper provides a non-parametric, graphical criterion that is complete (both necessary and sufficient) for determining the feasibility of imitation from the combinations of demonstration data and qualitative assumptions about the underlying environment and develops an efficient procedure for learning the imitating policy from experts’ trajectories.

TL;DR: A formal, systematic approach to sensitivity analysis for arbitrary linear Structural Causal Models (SCMs) is developed, starting by formalizing sensitivity analysis as a constrained identification problem and developing an efficient, graph-based identification algorithm that exploits non-zero constraints on both directed and bidirected edges.

TL;DR: This paper provides an algorithm for the identification of causal parameters in linear structural models that subsumes previous state-of-the-art methods and builds on a graph-theoretic characterization of conditional independence relations between auxiliary and model variables.