Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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19,141 to 19,200 of 119,954

Minimum bias multiple taper spectral estimation
Kurt S. Riedel, Alexander Sidorenko
stat.MEeess.ASeess.SParXiv:1803.04078v22018
Multi-task Self-Supervised Visual Learning
Carl Doersch, Andrew Zisserman
cs.CVarXiv:1708.07860v12017
Real-time dynamics of lattice gauge theories with a few-qubit quantum computer
E. A. Martinez, C. A. Muschik, P. Schindler +8
quant-phcond-mat.otherhep-latarXiv:1605.04570v12016
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising
Junqi Jin, Chengru Song, Han Li +3
stat.MLcs.AIcs.LGarXiv:1802.09756v22018
Freeze Casting: A Review of Processing, Microstructure and Properties via the Open Data Repository, FreezeCasting.net
Kristen L. Scotti, David C. Dunand
physics.app-phcond-mat.mtrl-sciarXiv:1710.00037v12017
Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data
Leise Borg, Jurgen Frikel, Jakob Sauer Jorgensen +1
math.FAmath.APphysics.ins-detarXiv:1707.03055v62017
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich +3
cs.LGcs.AImath.OCarXiv:1806.07857v32018
Benchmarking an 11-qubit quantum computer
K. Wright, K. M. Beck, S. Debnath +21
quant-pharXiv:1903.08181v12019
Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems
Chongwen Huang, Lei Liu, Chau Yuen +1
cs.ITarXiv:1611.05653v22016
Shift-Net: Image Inpainting via Deep Feature Rearrangement
Zhaoyi Yan, Xiaoming Li, Mu Li +2
cs.CVarXiv:1801.09392v22018
Multivariate Trace Inequalities
David Sutter, Mario Berta, Marco Tomamichel
math-phcs.ITmath.ITarXiv:1604.03023v32016
Bayesian stochastic blockmodeling
Tiago P. Peixoto
stat.MLcond-mat.stat-mechphysics.data-anarXiv:1705.10225v92017
Scaling description of generalization with number of parameters in deep learning
Mario Geiger, Arthur Jacot, Stefano Spigler +6
cond-mat.dis-nncs.LGarXiv:1901.01608v52019
Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces
Stefan Klus, Ingmar Schuster, Krikamol Muandet
math.DScs.LGstat.MLarXiv:1712.01572v32017
Optimal Power Flow Pursuit
Emiliano Dall'Anese, Andrea Simonetto
math.OCarXiv:1601.07263v42016
Classification and Geometry of General Perceptual Manifolds
SueYeon Chung, Daniel D. Lee, Haim Sompolinsky
cond-mat.dis-nncond-mat.stat-mechcs.NEarXiv:1710.06487v32017
Generalised Differential Privacy for Text Document Processing
Natasha Fernandes, Mark Dras, Annabelle McIver
cs.CRcs.LGarXiv:1811.10256v22018
Verifier-on-a-Leash: new schemes for verifiable delegated quantum computation, with quasilinear resources
Andrea Coladangelo, Alex Grilo, Stacey Jeffery +1
quant-phcs.CCcs.CRarXiv:1708.07359v32017
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1
A. Cichocki, N. Lee, I. V. Oseledets +3
math.NAarXiv:1609.00893v32016
Demonstration of quantum error correction and universal gate set on a binomial bosonic logical qubit
Ling Hu, Yuwei Ma, Weizhou Cai +10
quant-pharXiv:1805.09072v12018
Signature moments to characterize laws of stochastic processes
Ilya Chevyrev, Harald Oberhauser
math.STmath.PRstat.MLarXiv:1810.10971v22018
Performance Bounds for Parameter Estimation under Misspecified Models: Fundamental findings and applications
S. Fortunati, F. Gini, M. S. Greco +1
eess.SParXiv:1709.08210v12017
Liouville Action as Path-Integral Complexity: From Continuous Tensor Networks to AdS/CFT
Pawel Caputa, Nilay Kundu, Masamichi Miyaji +2
hep-thcond-mat.str-elquant-pharXiv:1706.07056v12017
Quantum computational chemistry
Sam McArdle, Suguru Endo, Alan Aspuru-Guzik +2
quant-pharXiv:1808.10402v32018
Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi, Dipendra Misra, Michael L. Littman
cs.LGcs.AIstat.MLarXiv:1804.07193v32018
Covariant Compositional Networks For Learning Graphs
Risi Kondor, Hy Truong Son, Horace Pan +2
cs.LGarXiv:1801.02144v12018
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel +5
stat.MLcs.GRmath.OCarXiv:1708.01955v32017
A catalog of visual-like morphologies in the 5 CANDELS fields using deep-learning
M. Huertas-Company, R. Gravet, G. Cabrera-Vives +12
astro-ph.GAastro-ph.COarXiv:1509.05429v12015
Nonlocal Modified KdV Equations and Their Soliton Solutions
Metin Gürses, Aslı Pekcan
nlin.SIarXiv:1711.01588v22017
On the insufficiency of existing momentum schemes for Stochastic Optimization
Rahul Kidambi, Praneeth Netrapalli, Prateek Jain +1
cs.LGmath.OCstat.MLarXiv:1803.05591v22018
Accelerated Distributed Nesterov Gradient Descent
Guannan Qu, Na Li
math.OCarXiv:1705.07176v42017
A recipe for echoes from exotic compact objects
Zachary Mark, Aaron Zimmerman, Song Ming Du +1
gr-qcarXiv:1706.06155v12017
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks
Shuang Wu, Guoqi Li, Lei Deng +3
cs.LGarXiv:1802.09769v12018
Revealing the phase transition behaviors of k-core percolation in random networks
Yong Zhu, Xiaosong Chen
cond-mat.stat-mecharXiv:1710.02959v12017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk
stat.MLcs.LGarXiv:1704.06625v42017
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu, Chaochao Chen, Longfei Li +4
cs.LGarXiv:1802.00910v32018
A causal framework for classical statistical estimands in failure time settings with competing events
Jessica G. Young, Mats J. Stensrud, Eric J. Tchetgen Tchetgen +1
stat.MEarXiv:1806.06136v32018
A Tutorial on Fisher Information
Alexander Ly, Maarten Marsman, Josine Verhagen +2
math.STarXiv:1705.01064v22017
Detecting causal associations in large nonlinear time series datasets
Jakob Runge, Peer Nowack, Marlene Kretschmer +2
stat.MEphysics.ao-phstat.AParXiv:1702.07007v22017
A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors
Florian Meyer, Paolo Braca, Peter Willett +1
cs.DSarXiv:1607.07647v12016
Capacity Characterization of UAV-Enabled Two-User Broadcast Channel
Qingqing Wu, Jie Xu, Rui Zhang
cs.ITmath.HOmath.OCarXiv:1801.00443v22018
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
Luigi Acerbi, Wei Ji Ma
stat.MLq-bio.NCq-bio.QMarXiv:1705.04405v22017
DGM: A deep learning algorithm for solving partial differential equations
Justin Sirignano, Konstantinos Spiliopoulos
q-fin.MFmath.NAq-fin.CParXiv:1708.07469v52017
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios, David C. Sterratt, Iain Murray
stat.MLcs.LGarXiv:1805.07226v22018
Stochastic Optimization for Large-scale Optimal Transport
Genevay Aude, Marco Cuturi, Gabriel Peyré +1
math.OCcs.LGmath.NAarXiv:1605.08527v12016
pySecDec: a toolbox for the numerical evaluation of multi-scale integrals
S. Borowka, G. Heinrich, S. Jahn +4
hep-pharXiv:1703.09692v32017
Stochastic Variational Video Prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan +2
cs.CVcs.ROarXiv:1710.11252v22017
A Tutorial on Kernel Density Estimation and Recent Advances
Yen-Chi Chen
stat.MEstat.OTarXiv:1704.03924v22017
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
Thibault Lesieur, Florent Krzakala, Lenka Zdeborová
math.STcond-mat.stat-mechcs.ITarXiv:1701.00858v32017
What do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog have to do with one another?
Mahmoud Abo Khamis, Hung Q. Ngo, Dan Suciu
cs.DBcs.DScs.ITarXiv:1612.02503v52016
Sparsity information and regularization in the horseshoe and other shrinkage priors
Juho Piironen, Aki Vehtari
stat.MEarXiv:1707.01694v12017
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Emmanuel Abbe, Jianqing Fan, Kaizheng Wang +1
math.STmath.PRarXiv:1709.09565v22017
Small vulnerable sets determine large network cascades in power grids
Yang Yang, Takashi Nishikawa, Adilson E. Motter
physics.soc-phcond-mat.dis-nncs.SIarXiv:1804.06432v12018
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Eric V. Strobl, Kun Zhang, Shyam Visweswaran
stat.MEstat.MLarXiv:1702.03877v22017
Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems
Xianghao Yu, Juei-Chin Shen, Jun Zhang +1
cs.ITarXiv:1601.07340v12016
Efficient variational quantum simulator incorporating active error minimisation
Ying Li, Simon C. Benjamin
quant-pharXiv:1611.09301v52016
Channel Estimation in Broadband Millimeter Wave MIMO Systems with Few-Bit ADCs
Jianhua Mo, Philip Schniter, Robert W. Heath
cs.ITarXiv:1610.02735v42016
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size
Tilo Schwalger, Moritz Deger, Wulfram Gerstner
q-bio.NCarXiv:1611.00294v32016
Programmable Superpositions of Ising Configurations
Lukas M. Sieberer, Wolfgang Lechner
quant-phcond-mat.otherarXiv:1708.02533v22017
Convergence of Entropic Schemes for Optimal Transport and Gradient Flows
Guillaume Carlier, Vincent Duval, Gabriel Peyré +1
math.APmath.NAarXiv:1512.02783v22015

Every paper with a summary

Minimum bias multiple taper spectral estimation

Multi-task Self-Supervised Visual Learning

Real-time dynamics of lattice gauge theories with a few-qubit quantum computer

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising

Freeze Casting: A Review of Processing, Microstructure and Properties via the Open Data Repository, FreezeCasting.net

Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data

RUDDER: Return Decomposition for Delayed Rewards

Benchmarking an 11-qubit quantum computer

Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems

Shift-Net: Image Inpainting via Deep Feature Rearrangement

Multivariate Trace Inequalities

Bayesian stochastic blockmodeling

Scaling description of generalization with number of parameters in deep learning

Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces

Optimal Power Flow Pursuit

Classification and Geometry of General Perceptual Manifolds

Generalised Differential Privacy for Text Document Processing

Verifier-on-a-Leash: new schemes for verifiable delegated quantum computation, with quasilinear resources

Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1

Demonstration of quantum error correction and universal gate set on a binomial bosonic logical qubit

Signature moments to characterize laws of stochastic processes

Performance Bounds for Parameter Estimation under Misspecified Models: Fundamental findings and applications

Liouville Action as Path-Integral Complexity: From Continuous Tensor Networks to AdS/CFT

Quantum computational chemistry

Lipschitz Continuity in Model-based Reinforcement Learning

Covariant Compositional Networks For Learning Graphs

Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning

A catalog of visual-like morphologies in the 5 CANDELS fields using deep-learning

Nonlocal Modified KdV Equations and Their Soliton Solutions

On the insufficiency of existing momentum schemes for Stochastic Optimization

Accelerated Distributed Nesterov Gradient Descent

A recipe for echoes from exotic compact objects

L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks

Revealing the phase transition behaviors of k-core percolation in random networks

Learned D-AMP: Principled Neural Network based Compressive Image Recovery

GeniePath: Graph Neural Networks with Adaptive Receptive Paths

A causal framework for classical statistical estimands in failure time settings with competing events

A Tutorial on Fisher Information

Detecting causal associations in large nonlinear time series datasets

A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors

Capacity Characterization of UAV-Enabled Two-User Broadcast Channel

Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search

DGM: A deep learning algorithm for solving partial differential equations

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Stochastic Optimization for Large-scale Optimal Transport

pySecDec: a toolbox for the numerical evaluation of multi-scale integrals

Stochastic Variational Video Prediction

A Tutorial on Kernel Density Estimation and Recent Advances

Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications

What do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog have to do with one another?

Sparsity information and regularization in the horseshoe and other shrinkage priors

Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank

Small vulnerable sets determine large network cascades in power grids

Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery

Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems

Efficient variational quantum simulator incorporating active error minimisation

Channel Estimation in Broadband Millimeter Wave MIMO Systems with Few-Bit ADCs

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size

Programmable Superpositions of Ising Configurations

Convergence of Entropic Schemes for Optimal Transport and Gradient Flows