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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19,021 to 19,080 of 119,949

The Inductive Bias of Quantum Kernels
Jonas M. Kübler, Simon Buchholz, Bernhard Schölkopf
quant-phstat.MLarXiv:2106.03747v22021
Automatically Learning Construction Injury Precursors from Text
Henrietta Baker, Matthew R. Hallowell, Antoine J. -P. Tixier
cs.CLarXiv:1907.11769v42019
Unified Virtual Oscillator Control for Grid-Forming and Grid-Following Converters
M A Awal, Iqbal Husain
eess.SYarXiv:2007.06042v12020
Fault Detection and Identification using Bayesian Recurrent Neural Networks
Weike Sun, Antonio R. C. Paiva, Peng Xu +2
stat.MLcs.LGcs.SYarXiv:1911.04386v22019
Balancing Communication and Computation in Distributed Optimization
Albert S. Berahas, Raghu Bollapragada, Nitish Shirish Keskar +1
math.OCarXiv:1709.02999v42017
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures
Sushant Singh, Ausif Mahmood
cs.CLcs.LGarXiv:2104.10640v32021
Error bounds for deep ReLU networks using the Kolmogorov--Arnold superposition theorem
Hadrien Montanelli, Haizhao Yang
math.NAcs.LGcs.NAarXiv:1906.11945v22019
Efficient quantum circuits for quantum computational chemistry
Yordan S. Yordanov, David R. M. Arvidsson-Shukur, Crispin H. W. Barnes
quant-pharXiv:2005.14475v22020
Social contagion models on hypergraphs
Guilherme Ferraz de Arruda, Giovanni Petri, Yamir Moreno
physics.soc-phcond-mat.stat-mecharXiv:1909.11154v12019
Performance of Network-Assisted Full-Duplex for Cell-Free Massive MIMO
Dongming Wang, Menghan Wang, Pengcheng Zhu +3
cs.ITmath.ITarXiv:1905.11107v12019
Event-based Stereo Visual Odometry
Yi Zhou, Guillermo Gallego, Shaojie Shen
cs.CVcs.ROarXiv:2007.15548v22020
Koopman-von Neumann Approach to Quantum Simulation of Nonlinear Classical Dynamics
Ilon Joseph
quant-phmath-phmath.MParXiv:2003.09980v42020
Graph Kernels: A Survey
Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis
stat.MLcs.LGarXiv:1904.12218v22019
Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles
Jiawei Wang, Yang Zheng, Qing Xu +2
math.OCeess.SYarXiv:2002.02099v12020
Tensor denoising with trend filtering
Francesco Ortelli, Sara van de Geer
math.STstat.THarXiv:2101.10692v12021
Entangling logical qubits with lattice surgery
Alexander Erhard, Hendrik Poulsen Nautrup, Michael Meth +8
quant-pharXiv:2006.03071v12020
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery
Namrata Vaswani, Thierry Bouwmans, Sajid Javed +1
cs.ITcs.CVstat.MEarXiv:1711.09492v42017
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
Kyle Helfrich, Devin Willmott, Qiang Ye
stat.MLcs.LGarXiv:1707.09520v32017
Bipartite Graph Embedding via Mutual Information Maximization
Jiangxia Cao, Xixun Lin, Shu Guo +3
cs.SIcs.AIarXiv:2012.05442v12020
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao, Jiaming Song, Stefano Ermon
cs.LGcs.AIstat.MLarXiv:1706.02262v32017
Beyond Dirty Paper Coding for Multi-Antenna Broadcast Channel with Partial CSIT: A Rate-Splitting Approach
Yijie Mao, Bruno Clerckx
cs.ITeess.SPmath.ITarXiv:1912.05409v22019
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasia Koloskova, Nicolas Loizou, Sadra Boreiri +2
cs.LGcs.DCmath.OCarXiv:2003.10422v32020
PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments and Partial Charges
Oliver T. Unke, Markus Meuwly
physics.chem-pharXiv:1902.08408v22019
Stream Graphs and Link Streams for the Modeling of Interactions over Time
Matthieu Latapy, Tiphaine Viard, Clémence Magnien
cs.SIcs.DMcs.DSarXiv:1710.04073v12017
A Fine-Grained Spectral Perspective on Neural Networks
Greg Yang, Hadi Salman
cs.LGcs.NEstat.MLarXiv:1907.10599v42019
Geometry and entanglement in the scattering matrix
Silas R. Beane, Roland C. Farrell
hep-thnucl-thquant-pharXiv:2011.01278v22020
Self-Distillation Amplifies Regularization in Hilbert Space
Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett
cs.LGstat.MLarXiv:2002.05715v32020
GetDist: a Python package for analysing Monte Carlo samples
Antony Lewis
astro-ph.IMastro-ph.COphysics.data-anarXiv:1910.13970v22019
The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations
Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel +19
astro-ph.COastro-ph.GAastro-ph.IMarXiv:2010.00619v22020
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives
A. Cichocki, A-H. Phan, Q. Zhao +4
math.NAcs.LGarXiv:1708.09165v12017
A Universal Operator Growth Hypothesis
Daniel E. Parker, Xiangyu Cao, Alexander Avdoshkin +2
cond-mat.stat-mechcond-mat.str-elhep-tharXiv:1812.08657v52018
Scalable Bayesian Hamiltonian learning
Tim J. Evans, Robin Harper, Steven T. Flammia
quant-phcond-mat.mes-hallcond-mat.quant-gasarXiv:1912.07636v12019
Real Time Dynamics and Confinement in the $\mathbb{Z}_{n}$ Schwinger-Weyl lattice model for 1+1 QED
Giuseppe Magnifico, Marcello Dalmonte, Paolo Facchi +3
quant-phcond-mat.str-elhep-latarXiv:1909.04821v52019
Heuristic Recurrent Algorithms for Photonic Ising Machines
Charles Roques-Carmes, Yichen Shen, Cristian Zanoci +10
physics.app-phcs.ETphysics.opticsarXiv:1811.02705v32018
Distributed Certifiably Correct Pose-Graph Optimization
Yulun Tian, Kasra Khosoussi, David M. Rosen +1
math.OCcs.ROarXiv:1911.03721v62019
Mitigation of readout noise in near-term quantum devices by classical post-processing based on detector tomography
Filip B. Maciejewski, Zoltán Zimborás, Michał Oszmaniec
quant-pharXiv:1907.08518v22019
Nonanalyticity of circuit complexity across topological phase transitions
Zijian Xiong, Dao-Xin Yao, Zhongbo Yan
cond-mat.str-elcond-mat.quant-gashep-tharXiv:1906.11279v22019
Parameterized quantum circuits as machine learning models
Marcello Benedetti, Erika Lloyd, Stefan Sack +1
quant-phcs.LGarXiv:1906.07682v22019
When Entanglement meets Classical Communications: Quantum Teleportation for the Quantum Internet (Invited Paper)
Angela Sara Cacciapuoti, Marcello Caleffi, Rodney Van Meter +1
quant-phcs.NIarXiv:1907.06197v22019
An analytic theory of generalization dynamics and transfer learning in deep linear networks
Andrew K. Lampinen, Surya Ganguli
stat.MLcs.LGarXiv:1809.10374v22018
Before Answering: Evidence Sufficiency under Size-Matched Memory Construction
Joyanta Jyoti Mondal, Md. Shifatul Ahsan Apurba, Mridul Banik +2
cs.CLcs.LGarXiv:2609.32269v12026
Quantum-inspired algorithms in practice
Juan Miguel Arrazola, Alain Delgado, Bhaskar Roy Bardhan +1
quant-phcs.DSarXiv:1905.10415v32019
Implicit Regularization for Optimal Sparse Recovery
Tomas Vaškevičius, Varun Kanade, Patrick Rebeschini
stat.MLcs.LGeess.SParXiv:1909.05122v12019
Stabilized Cat in Driven Nonlinear Cavity: A Fault-Tolerant Error Syndrome Detector
Shruti Puri, Alexander Grimm, Philippe Campagne-Ibarcq +7
quant-pharXiv:1807.09334v12018
Deep Network Approximation Characterized by Number of Neurons
Zuowei Shen, Haizhao Yang, Shijun Zhang
math.NAcs.LGarXiv:1906.05497v52019
Multi-pseudo Regularized Label for Generated Data in Person Re-Identification
Yan Huang, Jinsong Xu, Qiang Wu +3
cs.CVarXiv:1801.06742v32018
Variational approach for learning Markov processes from time series data
Hao Wu, Frank Noé
stat.MLmath.DSarXiv:1707.04659v32017
Lower bounds on the non-Clifford resources for quantum computations
Michael Beverland, Earl Campbell, Mark Howard +1
quant-pharXiv:1904.01124v22019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
Philipp Becker, Harit Pandya, Gregor Gebhardt +3
cs.LGstat.MLarXiv:1905.07357v12019
The Age of Incorrect Information: A New Performance Metric for Status Updates
Ali Maatouk, Saad Kriouile, Mohamad Assaad +1
cs.ITarXiv:1907.06604v22019
Uncertainty in Bayesian Leave-One-Out Cross-Validation Based Model Comparison
Tuomas Sivula, Måns Magnusson, Asael Alonzo Matamoros +1
stat.MEarXiv:2008.10296v62020
Same molecule, Different Knowledge: Cross-Identifier Binding Failures in LLMs For chemistry
Khouloud Saadi, Di Wang
cs.LGarXiv:2610.30903v12026
Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning
Kun Wang, WaiChing Sun
cs.LGphysics.comp-phphysics.geo-pharXiv:1810.10535v12018
Natural Compression for Distributed Deep Learning
Samuel Horvath, Chen-Yu Ho, Ludovit Horvath +3
cs.LGmath.OCstat.MLarXiv:1905.10988v32019
Optimizing Quantum Circuits for Arithmetic
Thomas Häner, Martin Roetteler, Krysta M. Svore
quant-phcs.ETarXiv:1805.12445v12018
Modified Gravity Theories on a Nutshell: Inflation, Bounce and Late-time Evolution
S. Nojiri, S. D. Odintsov, V. K. Oikonomou
gr-qcastro-ph.COhep-tharXiv:1705.11098v32017
Parametric finite element approximations of curvature driven interface evolutions
John W. Barrett, Harald Garcke, Robert Nürnberg
math.NAcs.NAarXiv:1903.09462v32019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
Jaehoon Lee, Lechao Xiao, Samuel S. Schoenholz +4
stat.MLcs.LGarXiv:1902.06720v42019
IBM Q Experience as a versatile experimental testbed for simulating open quantum systems
Guillermo García-Pérez, Matteo A. C. Rossi, Sabrina Maniscalco
quant-pharXiv:1906.07099v22019
Deterministic Preparation of Dicke States
Andreas Bärtschi, Stephan Eidenbenz
quant-phcs.DSarXiv:1904.07358v12019

Every paper with a summary

The Inductive Bias of Quantum Kernels

Automatically Learning Construction Injury Precursors from Text

Unified Virtual Oscillator Control for Grid-Forming and Grid-Following Converters

Fault Detection and Identification using Bayesian Recurrent Neural Networks

Balancing Communication and Computation in Distributed Optimization

The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures

Error bounds for deep ReLU networks using the Kolmogorov--Arnold superposition theorem

Efficient quantum circuits for quantum computational chemistry

Social contagion models on hypergraphs

Performance of Network-Assisted Full-Duplex for Cell-Free Massive MIMO

Event-based Stereo Visual Odometry

Koopman-von Neumann Approach to Quantum Simulation of Nonlinear Classical Dynamics

Graph Kernels: A Survey

Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles

Tensor denoising with trend filtering

Entangling logical qubits with lattice surgery

Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

Orthogonal Recurrent Neural Networks with Scaled Cayley Transform

Bipartite Graph Embedding via Mutual Information Maximization

InfoVAE: Information Maximizing Variational Autoencoders

Beyond Dirty Paper Coding for Multi-Antenna Broadcast Channel with Partial CSIT: A Rate-Splitting Approach

A Unified Theory of Decentralized SGD with Changing Topology and Local Updates

PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments and Partial Charges

Stream Graphs and Link Streams for the Modeling of Interactions over Time

A Fine-Grained Spectral Perspective on Neural Networks

Geometry and entanglement in the scattering matrix

Self-Distillation Amplifies Regularization in Hilbert Space

GetDist: a Python package for analysing Monte Carlo samples

The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations

Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives

A Universal Operator Growth Hypothesis

Scalable Bayesian Hamiltonian learning

Real Time Dynamics and Confinement in the $\mathbb{Z}_{n}$ Schwinger-Weyl lattice model for 1+1 QED

Heuristic Recurrent Algorithms for Photonic Ising Machines

Distributed Certifiably Correct Pose-Graph Optimization

Mitigation of readout noise in near-term quantum devices by classical post-processing based on detector tomography

Nonanalyticity of circuit complexity across topological phase transitions

Parameterized quantum circuits as machine learning models

When Entanglement meets Classical Communications: Quantum Teleportation for the Quantum Internet (Invited Paper)

An analytic theory of generalization dynamics and transfer learning in deep linear networks

Before Answering: Evidence Sufficiency under Size-Matched Memory Construction

Quantum-inspired algorithms in practice

Implicit Regularization for Optimal Sparse Recovery

Stabilized Cat in Driven Nonlinear Cavity: A Fault-Tolerant Error Syndrome Detector

Deep Network Approximation Characterized by Number of Neurons

Multi-pseudo Regularized Label for Generated Data in Person Re-Identification

Variational approach for learning Markov processes from time series data

Lower bounds on the non-Clifford resources for quantum computations

Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces

The Age of Incorrect Information: A New Performance Metric for Status Updates

Uncertainty in Bayesian Leave-One-Out Cross-Validation Based Model Comparison

Same molecule, Different Knowledge: Cross-Identifier Binding Failures in LLMs For chemistry

Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning

Natural Compression for Distributed Deep Learning

Optimizing Quantum Circuits for Arithmetic

Modified Gravity Theories on a Nutshell: Inflation, Bounce and Late-time Evolution

Parametric finite element approximations of curvature driven interface evolutions

Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent

IBM Q Experience as a versatile experimental testbed for simulating open quantum systems

Deterministic Preparation of Dicke States