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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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24,961 to 25,020 of 119,519
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Yaoqing Yang, Chen Feng, Yiru Shen +1
cs.CVarXiv:1712.07262v22017Stochastic Particle Gradient Descent for Infinite Ensembles
Atsushi Nitanda, Taiji Suzuki
stat.MLcs.LGmath.OCarXiv:1712.05438v12017Learned Perceptual Image Enhancement
Hossein Talebi, Peyman Milanfar
cs.CVarXiv:1712.02864v12017Simulation of low-depth quantum circuits as complex undirected graphical models
Sergio Boixo, Sergei V. Isakov, Vadim N. Smelyanskiy +1
quant-pharXiv:1712.05384v22017Randomized Complete Pivoting for Solving Symmetric Indefinite Linear Systems
Yuehua Feng, Jianwei Xiao, Ming Gu
math.NAcs.NAarXiv:1710.00125v12017Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs
Sudip Mittal, Anupam Joshi, Tim Finin
cs.AIarXiv:1708.03310v22017Quantum state restoration and single-copy tomography
Edward Farhi, David Gosset, Avinatan Hassidim +3
quant-pharXiv:0912.3823v12009Solar Extreme UV radiation and quark nugget dark matter model
Ariel Zhitnitsky
astro-ph.SRastro-ph.COastro-ph.HEarXiv:1707.03400v22017The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
Po-Wei Wang, Wei-Cheng Chang, J. Zico Kolter
math.OCcs.LGstat.MLarXiv:1706.00476v42017Learning Topological Representation for Networks via Hierarchical Sampling
Guoji Fu, Chengbin Hou, Xin Yao
cs.SIcs.LGstat.MLarXiv:1902.06684v12019Network Embedding: on Compression and Learning
Esra Akbas, Mehmet Aktas
cs.SIcs.LGarXiv:1907.02811v22019MILE: A Multi-Level Framework for Scalable Graph Embedding
Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
cs.AIcs.SIarXiv:1802.09612v22018An Effect System for Algebraic Effects and Handlers
Andrej Bauer, Matija Pretnar
cs.PLcs.LOarXiv:1306.6316v32013Using higher-order Markov models to reveal flow-based communities in networks
Vsevolod Salnikov, Michael T. Schaub, Renaud Lambiotte
physics.soc-phcs.SIarXiv:1601.03516v32016Efficient optimization of the quantum relative entropy
Hamza Fawzi, Omar Fawzi
quant-phmath.OCarXiv:1705.06671v22017COSINE: Compressive Network Embedding on Large-scale Information Networks
Zhengyan Zhang, Cheng Yang, Zhiyuan Liu +4
cs.SIcs.LGarXiv:1812.08972v12018From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents
Bo Tang, Yang Zhang, Guomian Zhuang +8
cs.CLarXiv:2607.16621v12026Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ
Jason S. Kessler
cs.CLcs.IRarXiv:1703.00565v32017Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo
Paul Fearnhead, Joris Bierkens, Murray Pollock +1
stat.COmath.STstat.MEarXiv:1611.07873v12016A Framework for the Construction of Generative Models for Mesoscale Structure in Multilayer Networks
Marya Bazzi, Lucas G. S. Jeub, Alex Arenas +2
cs.SIcond-mat.stat-mechnlin.AOarXiv:1608.06196v52016The Landscape of Empirical Risk for Non-convex Losses
Song Mei, Yu Bai, Andrea Montanari
stat.MLarXiv:1607.06534v32016Populations can be essential in tracking dynamic optima
Duc-Cuong Dang, Thomas Jansen, Per Kristian Lehre
cs.NEcs.AIq-bio.PEarXiv:1607.03317v12016Randomized methods for matrix computations
Per-Gunnar Martinsson
math.NAcs.NAarXiv:1607.01649v32016Measurement-induced state transitions in a superconducting qubit: Beyond the rotating wave approximation
Daniel Sank, Zijun Chen, Mostafa Khezri +21
quant-pharXiv:1606.05721v22016Self-Paced Learning: an Implicit Regularization Perspective
Yanbo Fan, Ran He, Jian Liang +1
cs.LGcs.CVarXiv:1606.00128v32016Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang
cs.CVarXiv:1603.09056v22016A Performance Evaluation of Container Technologies on Internet of Things Devices
Roberto Morabito
cs.DCcs.PFarXiv:1603.02955v12016Delta State Replicated Data Types
Paulo Sérgio Almeida, Ali Shoker, Carlos Baquero
cs.DCarXiv:1603.01529v12016Loss Functions for Top-k Error: Analysis and Insights
Maksim Lapin, Matthias Hein, Bernt Schiele
stat.MLcs.CVcs.LGarXiv:1512.00486v22015Minimizing the Maximal Loss: How and Why?
Shai Shalev-Shwartz, Yonatan Wexler
cs.LGarXiv:1602.01690v22016How far can we go without convolution: Improving fully-connected networks
Zhouhan Lin, Roland Memisevic, Kishore Konda
cs.LGcs.NEarXiv:1511.02580v12015Power Consumption of Virtualization Technologies: an Empirical Investigation
Roberto Morabito
cs.DCcs.PFarXiv:1511.01232v12015Multiqubit Clifford groups are unitary 3-designs
Huangjun Zhu
quant-phmath-phmath.MParXiv:1510.02619v22015Community detection for interaction networks
Harry Crane, Walter Dempsey
cs.SIphysics.soc-phstat.MEarXiv:1509.09254v12015Characterizing Universal Gate Sets via Dihedral Benchmarking
Arnaud Carignan-Dugas, Joel J. Wallman, Joseph Emerson
quant-pharXiv:1508.06312v32015Deep Networks for Image Super-Resolution with Sparse Prior
Zhaowen Wang, Ding Liu, Jianchao Yang +2
cs.CVarXiv:1507.08905v42015Strengthened Monotonicity of Relative Entropy via Pinched Petz Recovery Map
David Sutter, Marco Tomamichel, Aram W. Harrow
quant-phmath-phmath.MParXiv:1507.00303v32015Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
Ingmar Kanitscheider, Joost Huizinga, David Farhi +9
cs.LGstat.MLarXiv:2106.14876v12021EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
Thomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud +1
cs.CLcs.AIcs.LGarXiv:2206.09674v42022Scaling Imitation Learning in Minecraft
Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard +2
cs.LGcs.AIstat.MLarXiv:2007.02701v12020JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin, Junyou Li, Jianing Shi +3
cs.LGcs.AIarXiv:2112.04907v12021Evolving Rewards to Automate Reinforcement Learning
Aleksandra Faust, Anthony Francis, Dar Mehta
cs.LGcs.AIcs.NEarXiv:1905.07628v12019A Riemannian low-rank method for optimization over semidefinite matrices with block-diagonal constraints
Nicolas Boumal
math.OCcs.CVstat.COarXiv:1506.00575v22015Pose Graph Optimization in the Complex Domain: Lagrangian Duality, Conditions For Zero Duality Gap, and Optimal Solutions
Giuseppe Calafiore, Luca Carlone, Frank Dellaert
cs.ROarXiv:1505.03437v12015SIRS Epidemics on Complex Networks: Concurrence of Exact Markov Chain and Approximated Models
Navid Azizan Ruhi, Babak Hassibi
cs.SImath.DSmath.OCarXiv:1503.07576v22015Universal recovery map for approximate Markov chains
David Sutter, Omar Fawzi, Renato Renner
quant-phcs.ITmath-pharXiv:1504.07251v32015The Fidelity of Recovery is Multiplicative
Mario Berta, Marco Tomamichel
quant-phcs.ITmath-pharXiv:1502.07973v22015Recovery of Piecewise Smooth Images from Few Fourier Samples
Greg Ongie, Mathews Jacob
cs.CVarXiv:1502.00705v12015Squashed entanglement, k-extendibility, quantum Markov chains, and recovery maps
Ke Li, Andreas Winter
quant-phmath-phmath.MParXiv:1410.4184v42014Quantum conditional mutual information and approximate Markov chains
Omar Fawzi, Renato Renner
quant-pharXiv:1410.0664v32014Subsampling Methods for Persistent Homology
Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci +3
math.ATcs.CGstat.AParXiv:1406.1901v12014Efficient Decoding of Topological Color Codes
Pradeep Sarvepalli, Robert Raussendorf
quant-pharXiv:1111.0831v12011Convex and Network Flow Optimization for Structured Sparsity
Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski +1
math.OCcs.LGstat.MLarXiv:1104.1872v32011A Break of the Complexity of the Numerical Approximation of Nonlinear SPDEs with Multiplicative Noise
Arnulf Jentzen, Michael Roeckner
math.NAmath.APmath.PRarXiv:1001.2751v22010Lower bounds for the spectrum of the Laplace and Stokes operators
Alexei A. Ilyin
math.AParXiv:0909.2818v12009Two dimensional Berezin-Li-Yau inequalities with a correction term
Hynek Kovarik, Semjon Vugalter, Timo Weidl
math.SParXiv:0802.2792v12008Efficient Implementations of the Generalized Lasso Dual Path Algorithm
Taylor Arnold, Ryan Tibshirani
stat.COcs.LGstat.MLarXiv:1405.3222v22014Efficient fault-tolerant decoding of topological color codes
Ashley M. Stephens
quant-pharXiv:1402.3037v12014Decay towards the overall-healthy state in SIS epidemics on networks
Piet Van Mieghem
math.PRcond-mat.stat-mechcs.SIarXiv:1310.3980v52013Epidemics in partially overlapped multiplex networks
C. Buono, L. G. Alvarez Zuzek, P. A. Macri +1
physics.soc-phq-bio.PEarXiv:1310.1939v42013