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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24,841 to 24,900 of 119,551

Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels
Kürşat Tekbıyık, Ali Rıza Ekti, Ali Görçin +2
cs.LGeess.SPstat.MLarXiv:1911.04970v22019
Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis
Yuki Endo, Yoshihiro Kanamori, Shigeru Kuriyama
cs.GRcs.CVarXiv:1910.07192v12019
Markov Random Fields for Collaborative Filtering
Harald Steck
cs.IRcs.LGstat.MLarXiv:1910.09645v12019
Flexible distribution-free conditional predictive bands using density estimators
Rafael Izbicki, Gilson T. Shimizu, Rafael B. Stern
stat.MEcs.LGstat.MLarXiv:1910.05575v22019
Balanced One-shot Neural Architecture Optimization
Renqian Luo, Tao Qin, Enhong Chen
cs.LGcs.NEstat.MLarXiv:1909.10815v22019
Subword Language Model for Query Auto-Completion
Gyuwan Kim
cs.CLarXiv:1909.00599v12019
Predicting Features of Quantum Systems from Very Few Measurements
Hsin-Yuan Huang, Richard Kueng
quant-phcs.CLcs.ITarXiv:1908.08909v22019
Conformal prediction with localization
Leying Guan
math.STstat.MEstat.THarXiv:1908.08558v32019
Unitary partitioning approach to the measurement problem in the Variational Quantum Eigensolver method
Artur F. Izmaylov, Tzu-Ching Yen, Robert A. Lang +1
quant-phphysics.chem-pharXiv:1907.09040v22019
An Inductive Synthesis Framework for Verifiable Reinforcement Learning
He Zhu, Zikang Xiong, Stephen Magill +1
cs.LGcs.AIstat.MLarXiv:1907.07273v12019
Faster Neural Network Training with Data Echoing
Dami Choi, Alexandre Passos, Christopher J. Shallue +1
cs.LGarXiv:1907.05550v32019
Exemplar Guided Face Image Super-Resolution without Facial Landmarks
Berk Dogan, Shuhang Gu, Radu Timofte
cs.CVarXiv:1906.07078v12019
Characterizing the implicit bias via a primal-dual analysis
Ziwei Ji, Matus Telgarsky
cs.LGmath.OCstat.MLarXiv:1906.04540v32019
The Impact of Regularization on High-dimensional Logistic Regression
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
stat.MLcs.ITcs.LGarXiv:1906.03761v42019
Should Adversarial Attacks Use Pixel p-Norm?
Ayon Sen, Xiaojin Zhu, Liam Marshall +1
cs.LGcs.CRstat.MLarXiv:1906.02439v12019
Incentive Design with Spillovers
Krishna Dasaratha, Benjamin Golub, Anant Shah
econ.THcs.GTarXiv:2411.08026v32024
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
Avrim Blum, Nika Haghtalab, Richard Lanas Phillips +1
cs.LGcs.DScs.GTarXiv:2103.03228v12021
Fair Allocation in Dynamic Mechanism Design
Alireza Fallah, Michael I. Jordan, Annie Ulichney
cs.GTcs.LGecon.THarXiv:2406.00147v32024
Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors
Antoine Cully
cs.ROcs.NEarXiv:1905.11874v12019
Adaptive, Distribution-Free Prediction Intervals for Deep Networks
Danijel Kivaranovic, Kory D. Johnson, Hannes Leeb
stat.MLcs.LGarXiv:1905.10634v22019
Locally Differentially Private Frequency Estimation with Consistency
Tianhao Wang, Milan Lopuhaä-Zwakenberg, Zitao Li +2
cs.CRcs.DBcs.DSarXiv:1905.08320v22019
Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models
Mor Shpigel Nacson, Suriya Gunasekar, Jason D. Lee +2
stat.MLcs.LGarXiv:1905.07325v12019
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
Guocheng Qian, Yuanhao Wang, Jinjin Gu +4
eess.IVcs.CVarXiv:1905.02538v32019
Parameter-Free Online Convex Optimization with Sub-Exponential Noise
Kwang-Sung Jun, Francesco Orabona
cs.LGmath.OCstat.MLarXiv:1902.01500v32019
Small nonlinearities in activation functions create bad local minima in neural networks
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
cs.LGmath.OCstat.MLarXiv:1802.03487v42018
A Silicon Surface Code Architecture Resilient Against Leakage Errors
Zhenyu Cai, Michael A. Fogarty, Simon Schaal +3
quant-pharXiv:1904.10378v32019
Mean Field Analysis of Deep Neural Networks
Justin Sirignano, Konstantinos Spiliopoulos
math.PRstat.MLarXiv:1903.04440v52019
Scattering Mechanisms and Modeling for Terahertz Wireless Communications
Shihao Ju, Syed Hashim Ali Shah, Muhammad Affan Javed +6
eess.SPcs.ITmath.ITarXiv:1903.02657v22019
Identity Crisis: Memorization and Generalization under Extreme Overparameterization
Chiyuan Zhang, Samy Bengio, Moritz Hardt +2
stat.MLcs.AIcs.LGarXiv:1902.04698v42019
Asymptotic resolution bounds of generalized modularity and multi-scale community detection
Xiaoyan Lu, Brendan Cross, Boleslaw K. Szymanski
cs.SIphysics.soc-pharXiv:1902.04243v22019
A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints
Álvaro Parra, Tat-Jun Chin, Frank Neumann +2
cs.CVarXiv:1902.01534v22019
On the Selection of Initialization and Activation Function for Deep Neural Networks
Soufiane Hayou, Arnaud Doucet, Judith Rousseau
stat.MLcs.LGarXiv:1805.08266v22018
Robust Model Predictive Control Design for Autonomous Vehicles with Perception-based Observers
Nariman Niknejad, Gokul S. Sankar, Bahare Kiumarsi +1
cs.ROcs.CVcs.LGarXiv:2509.05201v12025
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation
Joseph A. Vincent, Haruki Nishimura, Masha Itkina +3
cs.ROcs.AIcs.LGarXiv:2405.05439v22024
An Empirical Study on LLM-based Agents for Automated Bug Fixing
Xiangxin Meng, Zexiong Ma, Pengfei Gao +1
cs.SEcs.AIarXiv:2411.10213v22024
Learning Variable Impedance Control for Contact Sensitive Tasks
Miroslav Bogdanovic, Majid Khadiv, Ludovic Righetti
cs.ROcs.AIcs.LGarXiv:1907.07500v22019
Finding Approximate Local Minima Faster than Gradient Descent
Naman Agarwal, Zeyuan Allen-Zhu, Brian Bullins +2
math.OCcs.DScs.NEarXiv:1611.01146v42016
Predictive Control for Driving under Uncertain Road Geometry Estimated from Onboard Vision
Jelena Trisovic, Andrea Carron, Melanie N. Zeilinger
eess.SYcs.ROcs.SYarXiv:2508.02494v22025
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion
Bolun Li, Zhihong Sun, Tao Huang +5
cs.SEarXiv:2401.16637v32024
Optimal Sizing and Placement of Distributed Storage in Low Voltage Networks
Philipp Fortenbacher, Martin Zellner, Göran Andersson
eess.SYcs.SYarXiv:1512.01218v22015
Video Compression for Spatiotemporal Earth System Data
Oscar J. Pellicer-Valero, Cesar Aybar, Gustau Camps Valls
cs.CVcs.DLeess.IVarXiv:2506.19656v12025
Playable Game Generation
Mingyu Yang, Junyou Li, Zhongbin Fang +5
cs.AIarXiv:2412.00887v12024
Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos
Colton Stearns, Adam Harley, Mikaela Uy +4
cs.CVarXiv:2406.18717v22024
High-Dimensional Linear Regression via Implicit Regularization
Peng Zhao, Yun Yang, Qiao-Chu He
math.STstat.COstat.MLarXiv:1903.09367v22019
Robust Training of Neural Networks Using Scale Invariant Architectures
Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer +2
cs.LGstat.MLarXiv:2202.00980v22022
Tighter PAC-Bayes Bounds Through Coin-Betting
Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij +1
cs.LGstat.MLarXiv:2302.05829v12023
Les Dissonances: Cross-Tool Harvesting and Polluting in Pool-of-Tools Empowered LLM Agents
Zichuan Li, Jian Cui, Xiaojing Liao +1
cs.CRarXiv:2504.03111v32025
Fighting Bandits with a New Kind of Smoothness
Jacob Abernethy, Chansoo Lee, Ambuj Tewari
cs.LGcs.GTstat.MLarXiv:1512.04152v12015
Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
Junkai Chen, Zhiyuan Pan, Xing Hu +3
cs.SEcs.CLarXiv:2403.16437v32024
Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules
Binghui Li, Fengling Chen, Zixun Huang +2
cs.LGstat.MLarXiv:2509.19189v42025
Benchmarking the Benchmarks: A Validity Audit of Tool-Calling Evaluation
Vishvesh Bhat, Jay Vaghasiya, Muhammad Ahmed Mohsin +1
cs.SEarXiv:2607.02577v12026
LongCodeBench: Evaluating Coding LLMs at 1M Context Windows
Stefano Rando, Luca Romani, Alessio Sampieri +5
cs.CLcs.AIarXiv:2505.07897v32025
Augmenting Interface Usability Heuristics for Reliable Computer-Use Agents
Jiateng Liu, Rushi Wang, Bingxuan Li +6
cs.HCarXiv:2605.02729v12026
PALM: Path-aware LLM-based Test Generation with Comprehension
Yaoxuan Wu, Xiaojie Zhou, Ahmad Humayun +2
cs.SEarXiv:2506.19287v22025
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers
Nadav Schneider, Tal Kadosh, Niranjan Hasabnis +3
cs.DCcs.CLcs.LGarXiv:2305.09438v32023
Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code
Myeongsoo Kim, Dingmin Wang, Siwei Cui +6
cs.SEcs.AIarXiv:2603.24631v22026
SWE-Effi: Re-Evaluating Software AI Agent System Effectiveness Under Resource Constraints
Zhiyu Fan, Kirill Vasilevski, Dayi Lin +6
cs.SEcs.AIarXiv:2509.09853v22025
ReSkin: versatile, replaceable, lasting tactile skins
Raunaq Bhirangi, Tess Hellebrekers, Carmel Majidi +1
cs.ROcs.AIarXiv:2111.00071v22021
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
Christopher Agia, Rohan Sinha, Jingyun Yang +4
cs.ROcs.AIcs.LGarXiv:2410.04640v22024
UniFS: Unified Fast-to-Slow Hierarchical Architecture for Vision-Language-Action Models
Lin Sun, Zhiwei Guan, Conglin Wang +7
cs.ROarXiv:2606.22794v12026

Every paper with a summary

Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels

Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis

Markov Random Fields for Collaborative Filtering

Flexible distribution-free conditional predictive bands using density estimators

Balanced One-shot Neural Architecture Optimization

Subword Language Model for Query Auto-Completion

Predicting Features of Quantum Systems from Very Few Measurements

Conformal prediction with localization

Unitary partitioning approach to the measurement problem in the Variational Quantum Eigensolver method

An Inductive Synthesis Framework for Verifiable Reinforcement Learning

Faster Neural Network Training with Data Echoing

Exemplar Guided Face Image Super-Resolution without Facial Landmarks

Characterizing the implicit bias via a primal-dual analysis

The Impact of Regularization on High-dimensional Logistic Regression

Should Adversarial Attacks Use Pixel p-Norm?

Incentive Design with Spillovers

One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning

Fair Allocation in Dynamic Mechanism Design

Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors

Adaptive, Distribution-Free Prediction Intervals for Deep Networks

Locally Differentially Private Frequency Estimation with Consistency

Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models

Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

Parameter-Free Online Convex Optimization with Sub-Exponential Noise

Small nonlinearities in activation functions create bad local minima in neural networks

A Silicon Surface Code Architecture Resilient Against Leakage Errors

Mean Field Analysis of Deep Neural Networks

Scattering Mechanisms and Modeling for Terahertz Wireless Communications

Identity Crisis: Memorization and Generalization under Extreme Overparameterization

Asymptotic resolution bounds of generalized modularity and multi-scale community detection

A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints

On the Selection of Initialization and Activation Function for Deep Neural Networks

Robust Model Predictive Control Design for Autonomous Vehicles with Perception-based Observers

How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation

An Empirical Study on LLM-based Agents for Automated Bug Fixing

Learning Variable Impedance Control for Contact Sensitive Tasks

Finding Approximate Local Minima Faster than Gradient Descent

Predictive Control for Driving under Uncertain Road Geometry Estimated from Onboard Vision

IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion

Optimal Sizing and Placement of Distributed Storage in Low Voltage Networks

Video Compression for Spatiotemporal Earth System Data

Playable Game Generation

Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos

High-Dimensional Linear Regression via Implicit Regularization

Robust Training of Neural Networks Using Scale Invariant Architectures

Tighter PAC-Bayes Bounds Through Coin-Betting

Les Dissonances: Cross-Tool Harvesting and Polluting in Pool-of-Tools Empowered LLM Agents

Fighting Bandits with a New Kind of Smoothness

Reasoning Runtime Behavior of a Program with LLM: How Far Are We?

Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules

Benchmarking the Benchmarks: A Validity Audit of Tool-Calling Evaluation

LongCodeBench: Evaluating Coding LLMs at 1M Context Windows

Augmenting Interface Usability Heuristics for Reliable Computer-Use Agents

PALM: Path-aware LLM-based Test Generation with Comprehension

MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers

Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code

SWE-Effi: Re-Evaluating Software AI Agent System Effectiveness Under Resource Constraints

ReSkin: versatile, replaceable, lasting tactile skins

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress

UniFS: Unified Fast-to-Slow Hierarchical Architecture for Vision-Language-Action Models