papers

Publications (20)

cs.RO2021

SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning

Yifeng Jiang, Tingnan Zhang, Daniel Ho +4

As learning-based approaches progress towards automating robot controllers design, transferring learned policies to new domains with different dynamics (e.g. sim-to-real transfer)…

cs.CV2020

SegNBDT: Visual Decision Rules for Segmentation

Alvin Wan, Daniel Ho, Younjin Song +3

The black-box nature of neural networks limits model decision interpretability, in particular for high-dimensional inputs in computer vision and for dense pixel prediction tasks li…

physics.optics2015

Orbital Angular Momentum (OAM) Vertical-Cavity Surface-Emitting Lasers

Huanlu Li, David Phillips, Xuyang Wang +6

Harnessing the Orbital Angular Momentum (OAM) of light is an appealing approach to developing photonic technologies for future applications in optical communications and high- dime…

cs.CL2021

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms

Pei Zhou, Rahul Khanna, Seyeon Lee +4

Pre-trained language models (PTLMs) have achieved impressive performance on commonsense inference benchmarks, but their ability to employ commonsense to make robust inferences, whi…

math.PR2018

The density evolution of the killed Mckean-Vlasov process

Peter E. Caines, Daniel Ho, Qingshuo Song

The study of the density evolution naturally arises in Mean Field Game theory for the estimation of the density of the large population dynamics. In this paper, we study the densit…

physics.app-ph2017

Two-photon Lithography for 3D Magnetic Nanostructure Fabrication

Gwilym Williams, Matthew Hunt, Benedikt Boehm +8

Ferromagnetic materials have been utilised as recording media within data storage devices for many decades. Confinement of the material to a two dimensional plane is a significant…