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most citedMethods for Interpreting and Understanding Deep Neural Networks

2.8k citations

Showing 2020Show all

68 papers · 1 filter

cs.DS2020★ 4 cited

Reading Articles Online

Andreas Karrenbauer, Elizaveta Kovalevskaya

We study the online problem of reading articles that are listed in an aggregated form in a dynamic stream, e.g., in news feeds, as abbreviated social media posts, or in the daily u…

cs.LG2020

ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare

Ali Burak Ünal, Mete Akgün, Nico Pfeifer

To train sophisticated machine learning models one usually needs many training samples. Especially in healthcare settings these samples can be very expensive, meaning that one inst…

cs.CV2020★ 7 cited

Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video

Edgar Tretschk, Ayush Tewari, Vladislav Golyanik +3

We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes RGB images of a d…

eess.IV2020★ 4 cited

HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models

Uğur Çoğalan, Mojtaba Bemana, Karol Myszkowski +2

We seek to reconstruct sharp and noise-free high-dynamic range (HDR) video from a dual-exposure sensor that records different low-dynamic range (LDR) information in different pixel…

cs.DS2020★ 4 cited

Faster Deterministic Modular Subset Sum

Krzysztof Potępa

We consider the Modular Subset Sum problem: given a multiset of integers from and a target integer , decide if there exists a subset of with a sum equal t…

cs.GR2020★ 9 cited

Perceptual error optimization for Monte Carlo rendering

Vassillen Chizhov, Iliyan Georgiev, Karol Myszkowski +1

Synthesizing realistic images involves computing high-dimensional light-transport integrals. In practice, these integrals are numerically estimated via Monte Carlo integration. The…