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Particles to Partial Differential Equations Parsimoniously


Authors:  HassanArbabi, IoannisKevrekidis....
Published date-11/09/2020

Abstract: Equations governing physico-chemical processes are usually known at microscopic spatial scales, yet one suspects that there exist equations, e.g. in the form of Partial Differential Equations (PDEs), that can explain …

Multi-Agent Active Search using Realistic Depth-Aware Noise Model


Authors:  RaminaGhods, WilliamJ.Durkin, JeffSchneider....
Published date-11/09/2020
Tasks:  ObjectDetection

Abstract: The search for objects of interest in an unknown environment by making data-collection decisions (i.e., active search or active sensing) has robotics applications in many fields, including the search and …

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments


Authors:  HanjiangHu, BaoquanYang, WeiangShi....
Published date-11/09/2020
Tasks:  DepthEstimation, StructurefromMotion, VisualLocalization

Abstract: Monocular depth prediction has been well studied recently, while there are few works focused on the depth prediction across multiple environments, e.g. changing illumination and seasons, owing to the lack …

What time is it? Temporal Analysis of Novels


Authors:  AllenKim, CharutaPethe, StevenSkiena....
Published date-11/09/2020

Abstract: Recognizing the flow of time in a story is a crucial aspect of understanding it. Prior work related to time has primarily focused on identifying temporal expressions or relative sequencing …

COVID-19 Patient Detection from Telephone Quality Speech Data


Authors:  KotraVenkataSaiRitwik, ShareefBabuKalluri, DeepuVijayasenan....
Published date-11/09/2020
Tasks:  SpeakerRecognition

Abstract: In this paper, we try to investigate the presence of cues about the COVID-19 disease in the speech data. We use an approach that is similar to speaker recognition. Each …

Scaling Hidden Markov Language Models


Authors:  JustinT.Chiu, AlexanderM.Rush....
Published date-11/09/2020
Tasks:  LanguageModelling

Abstract: The hidden Markov model (HMM) is a fundamental tool for sequence modeling that cleanly separates the hidden state from the emission structure. However, this separation makes it difficult to fit …

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