500 citations
- University of California, Los AngelesUS45 papers
- California Institute of TechnologyUS25 papers
- University of California, BerkeleyUS19 papers
- Princeton UniversityUS14 papers
- Berkeley CollegeUS13 papers
- Michigan Science CenterUS11 papers
- Center for Astrophysics Harvard & SmithsonianUS10 papers
- Fermi National Accelerator LaboratoryUS9 papers
- Johns Hopkins UniversityUS9 papers
- Moscow Institute of Thermal TechnologyRU9 papers
- The University of Texas at AustinUS9 papers
- University of ArizonaUS9 papers
25 papers · 1 filter
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning
Mark Edmonds, Xiaojian Ma, Siyuan Qi +3
Learning transferable knowledge across similar but different settings is a fundamental component of generalized intelligence. In this paper, we approach the transfer learning chall…
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
Mingxuan Jing, Xiaojian Ma, Wenbing Huang +4
In this paper, we study Reinforcement Learning from Demonstrations (RLfD) that improves the exploration efficiency of Reinforcement Learning (RL) by providing expert demonstrations…
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Yantao Lu, Yunhan Jia, Jianyu Wang +4
Neural networks are known to be vulnerable to carefully crafted adversarial examples, and these malicious samples often transfer, i.e., they remain adversarial even against other m…
Learning Robust Representations with Graph Denoising Policy Network
Lu Wang, Wenchao Yu, Wei Wang +5
Graph representation learning, aiming to learn low-dimensional representations which capture the geometric dependencies between nodes in the original graph, has gained increasing p…
The Fundamentals of the 21-cm Line
Steven R. Furlanetto
We review some of the fundamental physics necessary for computing the highly-redshifted spin-flip background. We first discuss the radiative transfer of the 21-cm line and define t…
Physical Cosmology From the 21-cm Line
Steven R. Furlanetto
We describe how the high-redshift 21-cm background can be used to improve both our understanding of the fundamental cosmological parameters of our Universe and exotic processes ori…