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.

Search paper metadata (including unsummarized papers)

22,741 to 22,800 of 61,271

A Multivariate Regression Approach to Association Analysis of Quantitative Trait Network
Seyoung Kim, Kyung-Ah Sohn, Eric P. Xing
stat.MLq-bio.GNq-bio.MNarXiv:0811.2026v12008
Equivariant flow-based sampling for lattice gauge theory
Gurtej Kanwar, Michael S. Albergo, Denis Boyda +5
hep-latcond-mat.stat-mechcs.LGarXiv:2003.06413v12020
Frequency Stability of Synchronous Machines and Grid-Forming Power Converters
Ali Tayyebi, Dominic Groß, Adolfo Anta +2
eess.SYmath.OCarXiv:2003.04715v12020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr
cs.LGcs.CRcs.DCarXiv:2002.04156v32020
Randomized Numerical Linear Algebra: Foundations & Algorithms
Per-Gunnar Martinsson, Joel Tropp
math.NAarXiv:2002.01387v32020
Can Graph Neural Networks Count Substructures?
Zhengdao Chen, Lei Chen, Soledad Villar +1
cs.LGcs.DMstat.MLarXiv:2002.04025v42020
Willems' Fundamental Lemma for State-space Systems and its Extension to Multiple Datasets
Henk J. van Waarde, Claudio De Persis, M. Kanat Camlibel +1
math.OCmath.DSarXiv:2002.01023v22020
Artificial Intelligence, Values and Alignment
Iason Gabriel
cs.CYarXiv:2001.09768v22020
Naive Exploration is Optimal for Online LQR
Max Simchowitz, Dylan J. Foster
cs.LGmath.OCstat.MLarXiv:2001.09576v42020
Scaling Laws for Neural Language Models
Jared Kaplan, Sam McCandlish, Tom Henighan +7
cs.LGstat.MLarXiv:2001.08361v12020
Media Forensics and DeepFakes: an overview
Luisa Verdoliva
cs.CVarXiv:2001.06564v12020
Slim Fly: A Cost Effective Low-Diameter Network Topology
Maciej Besta, Torsten Hoefler
cs.NIarXiv:1912.08968v22019
Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit
Jinlei Zhang, Feng Chen, Zhiyong Cui +2
eess.SParXiv:1912.12563v42019
5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges
Alcardo Alex Barakabitze, Arslan Ahmad, Rashid Mijumbi +1
cs.NIcs.DCcs.MMarXiv:1912.02802v12019
LEO Small-Satellite Constellations for 5G and Beyond-5G Communications
Israel Leyva-Mayorga, Beatriz Soret, Maik Röper +4
cs.NIeess.SParXiv:1912.08110v42019
Neural Machine Translation: A Review and Survey
Felix Stahlberg
cs.CLarXiv:1912.02047v22019
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
Lei Shi, Yifan Zhang, Jian Cheng +1
cs.CVarXiv:1912.06971v12019
Deep Reinforcement Learning for Trading
Zihao Zhang, Stefan Zohren, Stephen Roberts
q-fin.CPcs.LGq-fin.TRarXiv:1911.10107v12019
General $E(2)$-Equivariant Steerable CNNs
Maurice Weiler, Gabriele Cesa
cs.CVcs.LGeess.IVarXiv:1911.08251v22019
A CNN-RNN Framework for Crop Yield Prediction
Saeed Khaki, Lizhi Wang, Sotirios V. Archontoulis
cs.LGq-bio.QMstat.MLarXiv:1911.09045v22019
Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
Maede Zolanvari, Marcio A. Teixeira, Lav Gupta +2
cs.CRcs.LGcs.NIarXiv:1911.05771v12019
Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
Wankai Tang, Ming Zheng Chen, Xiangyu Chen +7
eess.SPcs.ITarXiv:1911.05326v22019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts +6
cs.LGcs.CLstat.MLarXiv:1910.10683v42019
Energy Efficient Federated Learning Over Wireless Communication Networks
Zhaohui Yang, Mingzhe Chen, Walid Saad +2
cs.ITcs.LGstat.MLarXiv:1911.02417v22019
Variational Fast Forwarding for Quantum Simulation Beyond the Coherence Time
Cristina Cirstoiu, Zoe Holmes, Joseph Iosue +3
quant-pharXiv:1910.04292v22019
Experimental quantum key distribution beyond the repeaterless secret key capacity
M. Minder, M. Pittaluga, G. L. Roberts +4
quant-phphysics.app-pharXiv:1910.01951v12019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead
Wentai Wu, Ligang He, Weiwei Lin +3
cs.DCcs.LGarXiv:1910.01355v42019
Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang, Shiqiang Wang, Victor Valls +4
cs.LGcs.DCstat.MLarXiv:1909.12326v52019
HEAX: An Architecture for Computing on Encrypted Data
M. Sadegh Riazi, Kim Laine, Blake Pelton +1
cs.CRcs.AIcs.ARarXiv:1909.09731v22019
Alpaca: Intermittent Execution without Checkpoints
Kiwan Maeng, Alexei Colin, Brandon Lucia
cs.DCarXiv:1909.06951v12019
Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography
Sarah Leclerc, Erik Smistad, João Pedrosa +11
eess.IVarXiv:1908.06948v22019
Grid Influenced Peer-to-Peer Energy Trading
Wayes Tushar, Tapan Kumar Saha, Chau Yuen +4
eess.SYcs.GTarXiv:1908.09449v12019
Distributionally Robust Optimization: A Review
Hamed Rahimian, Sanjay Mehrotra
math.OCcs.LGstat.MLarXiv:1908.05659v12019
A review on Deep Reinforcement Learning for Fluid Mechanics
Paul Garnier, Jonathan Viquerat, Jean Rabault +3
physics.comp-phcs.LGphysics.flu-dynarXiv:1908.04127v22019
Assessment and optimization of the fast inertial relaxation engine (FIRE) for energy minimization in atomistic simulations and its implementation in LAMMPS
Julien Guénolé, Wolfram G. Nöhring, Aviral Vaid +4
physics.comp-phcond-mat.mtrl-sciarXiv:1908.02038v42019
On Mutual Information Maximization for Representation Learning
Michael Tschannen, Josip Djolonga, Paul K. Rubenstein +2
cs.LGstat.MLarXiv:1907.13625v22019
Multi-task Self-Supervised Learning for Human Activity Detection
Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien
cs.LGstat.MLarXiv:1907.11879v12019
Grape detection, segmentation and tracking using deep neural networks and three-dimensional association
Thiago T. Santos, Leonardo L. de Souza, Andreza A. dos Santos +1
cs.CVarXiv:1907.11819v32019
Topological Signal Processing over Simplicial Complexes
Sergio Barbarossa, Stefania Sardellitti
eess.SParXiv:1907.11577v22019
Introduction to Neutrosophic Measure, Neutrosophic Integral, and Neutrosophic Probability
Florentin Smarandache
cs.AIarXiv:1311.7139v12013
FarSense: Pushing the Range Limit of WiFi-based Respiration Sensing with CSI Ratio of Two Antennas
Youwei Zeng, Dan Wu, Jie Xiong +3
eess.SPcs.HCarXiv:1907.03994v32019
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks
Kaifeng Lyu, Jian Li
cs.LGcs.NEstat.MLarXiv:1906.05890v42019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks
Nicholas Geneva, Nicholas Zabaras
physics.comp-phcs.LGstat.MLarXiv:1906.05747v32019
Hierarchical Reasoning Model
Guan Wang, Jin Li, Yuhao Sun +6
cs.AIcs.LGarXiv:2506.21734v32025
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack +19
cs.CYcs.AIcs.LGarXiv:1906.05433v22019
Mobile-Agent-v3: Fundamental Agents for GUI Automation
Jiabo Ye, Xi Zhang, Haiyang Xu +12
cs.AIarXiv:2508.15144v22025
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Zhouchen Lin, Risheng Liu, Huan Li
math.NAcs.LGmath.OCarXiv:1310.5035v22013
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
Rui Yang, Hanyang Chen, Junyu Zhang +10
cs.AIcs.CLcs.CVarXiv:2502.09560v32025
Visualizing a Field of Research: A Methodology of Systematic Scientometric Reviews
Chaomei Chen, Min Song
cs.DLarXiv:1906.04800v12019
An Improved Analysis of Training Over-parameterized Deep Neural Networks
Difan Zou, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:1906.04688v12019
SusHi Bento: Beyond NNLO and the heavy-top limit
Robert V. Harlander, Stefan Liebler, Hendrik Mantler
hep-pharXiv:1605.03190v22016
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman, Greg Yang, Jerry Li +4
cs.LGcs.CRstat.MLarXiv:1906.04584v52019
Performance Comparison of Intrusion Detection Systems and Application of Machine Learning to Snort System
Syed Ali Raza Shah, Biju Issac
cs.NIcs.CRcs.LGarXiv:1710.04843v22017
Characterizing the Scalability and Performance of Large-Scale AI Training Under Multi-Tenancy
Jacopo Raffi, Thomas Pasquali, Lorenzo Piarulli +6
cs.DCarXiv:2609.00817v22026
Automated Event Log Generation from Unstructured Text Using Finetuned LLMs
Maximilian Seeth, Gabriel Marques Tavares, Daniel Schuster
cs.AIarXiv:2609.01320v12026
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
Harald Bayerlein, Mirco Theile, Marco Caccamo +1
cs.MAcs.ITcs.LGarXiv:2010.12461v32020
Cormorant: Covariant Molecular Neural Networks
Brandon Anderson, Truong-Son Hy, Risi Kondor
physics.comp-phcs.LGstat.MLarXiv:1906.04015v32019
An Introduction to Variational Autoencoders
Diederik P. Kingma, Max Welling
cs.LGstat.MLarXiv:1906.02691v32019
Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface with Discrete Phase Shifts
Qingqing Wu, Rui Zhang
cs.ITcs.ETeess.SParXiv:1906.03165v42019
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
Guilherme Penedo, Hynek Kydlíček, Vinko Sabolčec +7
cs.CLarXiv:2506.20920v12025

Every paper with a summary

A Multivariate Regression Approach to Association Analysis of Quantitative Trait Network

Equivariant flow-based sampling for lattice gauge theory

Frequency Stability of Synchronous Machines and Grid-Forming Power Converters

Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning

Randomized Numerical Linear Algebra: Foundations & Algorithms

Can Graph Neural Networks Count Substructures?

Willems' Fundamental Lemma for State-space Systems and its Extension to Multiple Datasets

Artificial Intelligence, Values and Alignment

Naive Exploration is Optimal for Online LQR

Scaling Laws for Neural Language Models

Media Forensics and DeepFakes: an overview

Slim Fly: A Cost Effective Low-Diameter Network Topology

Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit

5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges

LEO Small-Satellite Constellations for 5G and Beyond-5G Communications

Neural Machine Translation: A Review and Survey

Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks

Deep Reinforcement Learning for Trading

General $E(2)$-Equivariant Steerable CNNs

A CNN-RNN Framework for Crop Yield Prediction

Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things

Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Energy Efficient Federated Learning Over Wireless Communication Networks

Variational Fast Forwarding for Quantum Simulation Beyond the Coherence Time

Experimental quantum key distribution beyond the repeaterless secret key capacity

SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead

Model Pruning Enables Efficient Federated Learning on Edge Devices

HEAX: An Architecture for Computing on Encrypted Data

Alpaca: Intermittent Execution without Checkpoints

Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

Grid Influenced Peer-to-Peer Energy Trading

Distributionally Robust Optimization: A Review

A review on Deep Reinforcement Learning for Fluid Mechanics

Assessment and optimization of the fast inertial relaxation engine (FIRE) for energy minimization in atomistic simulations and its implementation in LAMMPS

On Mutual Information Maximization for Representation Learning

Multi-task Self-Supervised Learning for Human Activity Detection

Grape detection, segmentation and tracking using deep neural networks and three-dimensional association

Topological Signal Processing over Simplicial Complexes

Introduction to Neutrosophic Measure, Neutrosophic Integral, and Neutrosophic Probability

FarSense: Pushing the Range Limit of WiFi-based Respiration Sensing with CSI Ratio of Two Antennas

Gradient Descent Maximizes the Margin of Homogeneous Neural Networks

Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks

Hierarchical Reasoning Model

Tackling Climate Change with Machine Learning

Mobile-Agent-v3: Fundamental Agents for GUI Automation

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Visualizing a Field of Research: A Methodology of Systematic Scientometric Reviews

An Improved Analysis of Training Over-parameterized Deep Neural Networks

SusHi Bento: Beyond NNLO and the heavy-top limit

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Performance Comparison of Intrusion Detection Systems and Application of Machine Learning to Snort System

Characterizing the Scalability and Performance of Large-Scale AI Training Under Multi-Tenancy

Automated Event Log Generation from Unstructured Text Using Finetuned LLMs

Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning

Cormorant: Covariant Molecular Neural Networks

An Introduction to Variational Autoencoders

Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface with Discrete Phase Shifts

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language