This work considers clustering nodes of a largely incomplete graph. Under the problem setting, only a small amount of queries about the edges can be made, but the entire graph
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology. (arXiv:2011.13012v1 [q-bio.GN])
Genome-wide association studies (GWAS) require accurate cohort phenotyping, but expert labeling can be costly, time-intensive, and variable. Here we develop a machine learning (ML) model to predict glaucomatous optic nerve
Protein Structure Parameterization via Mobius Distributions on the Torus. (arXiv:2011.13027v1 [stat.ME])
Proteins constitute a large group of macromolecules with a multitude of functions for all living organisms. Proteins achieve this by adopting distinct three-dimensional structures encoded by the sequence of their
Reinforcement Learning for Robust Missile Autopilot Design. (arXiv:2011.12956v1 [cs.LG])
Designing missiles’ autopilot controllers has been a complex task, given the extensive flight envelope and the nonlinear flight dynamics. A solution that can excel both in nominal performance and in
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge. (arXiv:2011.12985v1 [cs.SD])
Nowadays more and more applications can benefit from edge-based text-to-speech (TTS). However, most existing TTS models are too computationally expensive and are not flexible enough to be deployed on the
Detection of Cyber Attacks in Renewable-rich Microgrids Using Dynamic Watermarking. (arXiv:2011.12990v1 [eess.SY])
This paper presents the first demonstration of using an active mechanism to defend renewable-rich microgrids against cyber attacks. Cyber vulnerability of the renewable-rich microgrids is identified. The defense mechanism based
A weak law of large numbers for realised covariation in a Hilbert space setting. (arXiv:2011.13030v1 [math.PR])
This article generalises the concept of realised covariation to Hilbert-space-valued stochastic processes. More precisely, based on high-frequency functional data, we construct an estimator of the trace-class operator-valued integrated volatility process
Mega Regional Heat Patterns in US Urban Corridors. (arXiv:2011.13031v1 [stat.AP])
Current literature suggests that urban heat-islands and their consequences are intensifying under climate change and urbanization. Here we explore the relatively unexplored hypothesis that emerging urban corridors (UCs) spawn megaregions
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning. (arXiv:2011.13034v1 [cs.LG])
In this paper we consider multi-objective reinforcement learning where the objectives are balanced using preferences. In practice, the preferences are often given in an adversarial manner, e.g., customers can be
VoxLingua107: a Dataset for Spoken Language Recognition. (arXiv:2011.12998v1 [eess.AS])
This paper investigates the use of automatically collected web audio data for the task of spoken language recognition. We generate semi-random search phrases from language-specific Wikipedia data that are then
