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Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
MartinGenzel, JanMacdonald, MaximilianMärz....
Published date-11/09/2020
ImageReconstruction
In the past five years, deep learning methods have become state-of-the-art in solving various inverse problems. Before such approaches can find application in safety-critical fields, a verification of their reliability …
Predicting Landsat Reflectance with Deep Generative Fusion
ShahineBouabid, MaximChernetskiy, MaximeRischard....
Published date-11/09/2020
TimeSeries
Public satellite missions are commonly bound to a trade-off between spatial and temporal resolution as no single sensor provides fine-grained acquisitions with frequent coverage. This hinders their potential to assist …
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
BaichuanHuang, ShuaiD.Han, AbdeslamBoularias....
Published date-11/09/2020
We propose a Deep Interaction Prediction Network (DIPN) for learning to predict complex interactions that ensue as a robot end-effector pushes multiple objects, whose physical properties, including size, shape, mass, …
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
JuliusBerner, MarkusDablander, PhilippGrohs....
Published date-11/09/2020
We present a deep learning algorithm for the numerical solution of parametric families of high-dimensional linear Kolmogorov partial differential equations (PDEs). Our method is based on reformulating the numerical approximation …
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
TianweiNi, HarshitSikchi, YuFeiWang....
Published date-11/09/2020
ImitationLearning
Imitation learning is well-suited for robotic tasks where it is difficult to directly program the behavior or specify a cost for optimal control. In this work, we propose a method …
RMITB at TREC COVID 2020
RodgerBenham, AlistairMoffat, J.ShaneCulpepper....
Published date-11/09/2020
Search engine users rarely express an information need using the same query, and small differences in queries can lead to very different result sets. These user query variations have been …