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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69,001 to 69,060 of 105,738

Inverting Gradients -- How easy is it to break privacy in federated learning?
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge +1
cs.CVcs.CRcs.LGarXiv:2003.14053v22020
Cue the Flow: Steering Flow-Matching Policies for Open-World Delivery Manipulation
Haoxuan Wang, Griffin Galimi, Junhua Huang +4
cs.ROarXiv:2609.38989v12026
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
Tong Wu, Qingqiu Huang, Ziwei Liu +2
cs.CVcs.LGarXiv:2007.09654v42020
Representation Distribution Matching for One-Step Visual Generation
Lan Feng, Wuyang Li, Eloi Zablocki +2
cs.CVarXiv:2607.02375v12026
Dynamical phase selection controls compute scaling in looped transformers
Gunn Kim
cond-mat.dis-nncond-mat.stat-mechcs.LGarXiv:2608.26556v12026
AST-Based Automated Elimination of break and continue Statements in Java Code
Andrés Juárez, José Chicano, Rubén Saborido
cs.SEarXiv:2609.27627v12026
Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers
Fu Lin, Makan Fardad, Mihailo R. Jovanović
math.OCeess.SYarXiv:1111.6188v32011
Attribute-Based Activation Steering of LLMs for Group-Specific Explanation Generation
Leandra Fichtel, Janek Prange, Henning Wachsmuth
cs.CLarXiv:2608.29215v12026
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
Yi Liu, Jiangtian Nie, Xuandi Li +3
eess.SPcs.LGarXiv:2007.12004v12020
MemPO: Self-Memory Policy Optimization for Long-Horizon Agents
Ruoran Li, Xinghua Zhang, Haiyang Yu +7
cs.AIarXiv:2603.00680v42026
Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection
Chen Zhang, Runmin Cong, Qinwei Lin +4
cs.CVarXiv:2108.01971v12021
Demonstration of fidelity improvement using dynamical decoupling with superconducting qubits
Bibek Pokharel, Namit Anand, Benjamin Fortman +1
quant-pharXiv:1807.08768v22018
Teaching LLMs a Low-Resource Language: Enhancing Code Completion in Pharo
Kilian Kier, Alessandro Giagnorio, Omar AbedelKader +5
cs.SEarXiv:2607.04939v12026
Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning
Seungjun Yi, Joakim Nguyen, Huimin Xu +4
cs.CLarXiv:2506.23998v22025
Degrees of Freedom of MIMO X Networks: Spatial Scale Invariance, One-Sided Decomposability and Linear Feasibility
Hua Sun, Chunhua Geng, Tiangao Gou +1
cs.ITarXiv:1207.6137v12012
A second-order and nonuniform time-stepping maximum-principle preserving scheme for time-fractional Allen-Cahn equations
Hong-lin Liao, Tao Tang, Tao Zhou
math.NAarXiv:1909.10216v12019
RoboNet: Large-Scale Multi-Robot Learning
Sudeep Dasari, Frederik Ebert, Stephen Tian +6
cs.ROcs.CVcs.LGarXiv:1910.11215v22019
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach
Peng Hang, Chen Lv, Yang Xing +2
cs.ROeess.SYarXiv:2005.11064v22020
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
Guosheng Zhao, Xiaofeng Wang, Zheng Zhu +4
cs.CVarXiv:2403.06845v22024
SpatialDiff: 3D-Aware Object Movement via Implicit Spatial Modeling
Zheng Liu, Zijian He, Huiguo He +5
cs.CVarXiv:2608.21776v12026
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
Peng Xia, Jianwen Chen, Hanyang Wang +10
cs.LGarXiv:2602.08234v12026
Online Temporal Calibration for Monocular Visual-Inertial Systems
Tong Qin, Shaojie Shen
cs.CVarXiv:1808.00692v12018
Highly Detailed Simulation for Connected Automated Vehicle Cooperative Driving
Andrei Fizulin, Ilia Dolgov, Andrei Karpukhin
cs.NIarXiv:2609.01254v12026
Can Large Reasoning Models Self-Train?
Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov +2
cs.LGarXiv:2505.21444v22025
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
Vanessa Buhrmester, David Münch, Michael Arens
cs.AIcs.CVarXiv:1911.12116v12019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He, Daniel Spokoyny, Graham Neubig +1
cs.LGstat.MLarXiv:1901.05534v22019
Transfer Learning for Evolving Domains
Ricardo Ribeiro Pereira, Jacopo Bono, Hugo Ferreira +4
cs.LGstat.MLarXiv:2609.13039v12026
Deep Equilibrium Models
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
cs.LGstat.MLarXiv:1909.01377v22019
F-LMM: Grounding Frozen Large Multimodal Models
Size Wu, Sheng Jin, Wenwei Zhang +4
cs.CVarXiv:2406.05821v32024
Low-Rank Ternary Adaptation for Fine-Tuning Transformers
Alexandru-Dragos Manolache, Yunqiang Li, Jan van Gemert
cs.CVcs.LGarXiv:2608.24469v12026
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
William L. Hamilton, Kevin Clark, Jure Leskovec +1
cs.CLarXiv:1606.02820v22016
Symbolic Classification-Enabled LHC Limits Online BSM Global Fits
Shehu AbdusSalam
hep-phcs.LGcs.SCarXiv:2605.22330v12026
Local Graph Clustering with Network Lasso
Alexander Jung, Yasmin SarcheshmehPour
cs.LGstat.MLarXiv:2004.12199v32020
Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
Zhongxiang Sun, Qipeng Wang, Weijie Yu +3
cs.CLarXiv:2601.23188v12026
Transformer-based In-Context Score Operator Learning for Diffusion Models
Wuzhe Xu, Zhaiming Shen, Yulong Lu +2
cs.LGarXiv:2610.13690v12026
Adaptive Peer Clustering with Hierarchical Random Linear Network Coding for Resilient Decentralized Wireless Networks
Navaneetha Krishnan Kamalakannan, Harinisri Velmurugan
eess.SPcs.DCcs.ITarXiv:2608.26040v12026
The nonlinear heat equation on dense graphs and graph limits
Georgi S. Medvedev
nlin.AOmath.DSq-bio.NCarXiv:1302.5804v32013
On the Role of Discreteness in Diffusion LLMs
Ziqi Jin, Bin Wang, Xiang Lin +2
cs.CLarXiv:2512.22630v12025
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
Adrien Deliège, Anthony Cioppa, Silvio Giancola +6
cs.CVarXiv:2011.13367v32020
DYNOTEARS: Structure Learning from Time-Series Data
Roxana Pamfil, Nisara Sriwattanaworachai, Shaan Desai +4
stat.MLcs.LGarXiv:2002.00498v22020
SolarBench: A global solar energy nowcasting benchmark
Yuhao Nie, Stephen Campbell, Quentin Paletta +18
cs.CVcs.LGarXiv:2609.06187v12026
The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning
Adam Block, Yury Polyanskiy
stat.MLcs.LGarXiv:2302.04658v32023
Dynamic Matching with Abandonment: Optimal Guarantees via Static Priority Policies
Nick Arnosti, Rad Niazadeh, Pranav Nuti +1
cs.DScs.CCcs.GTarXiv:2610.12991v12026
Deep Learning for Time Series Forecasting: The Electric Load Case
Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
cs.LGstat.MLarXiv:1907.09207v12019
SeqAlign3DVG: A Sequence-Aligned Benchmark and Voxel Reasoning Framework for 3D Visual Grounding
Yi Zhang, Yi Wang, Yueting Wu +3
cs.CVarXiv:2608.30451v12026
From average case complexity to improper learning complexity
Amit Daniely, Nati Linial, Shai Shalev-Shwartz
cs.LGcs.CCarXiv:1311.2272v22013
DuMateBench: Evaluating Autonomous Agents in Complex Real-World Workflows
Zechun Niu, Yukun Zhao, Jiaxin Zhang +12
cs.AIcs.CLarXiv:2608.26546v12026
Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges
Chenqi Li, Minghui Min, Dusit Niyato +1
cs.AIarXiv:2609.04778v12026
Scalable Hierarchical Clustering with Tree Grafting
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy +2
cs.LGcs.DSstat.MLarXiv:2001.00076v12019
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui, Miao Yin, Yi Xie +3
cs.CVcs.AIcs.LGarXiv:2110.13981v32021
Catalogue of Topological Electronic Materials
Tiantian Zhang, Yi Jiang, Zhida Song +5
cond-mat.mtrl-scicond-mat.mes-hallarXiv:1807.08756v12018
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning
Werner Zellinger, Thomas Grubinger, Edwin Lughofer +2
stat.MLcs.LGarXiv:1702.08811v32017
Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications
Kai Zhu, Enrico Trizio, Jintu Zhang +4
physics.comp-pharXiv:2509.04291v12025
MAPEL: Achieving Global Optimality for a Non-convex Wireless Power Control Problem
Liping Qian, Ying Jun Zhang, Jianwei Huang
cs.NImath.NAarXiv:0805.2675v22008
Reasoning-Driven Multimodal LLM for Domain Generalization
Zhipeng Xu, Zilong Wang, Xinyang Jiang +3
cs.AIarXiv:2602.23777v12026
On the Fundamental Limits of Adaptive Sensing
Ery Arias-Castro, Emmanuel J. Candes, Mark Davenport
math.STcs.ITmath.ITarXiv:1111.4646v42011
A multi-class kinetic traffic flow model: discrete-velocity formulation and diffusively-corrected macroscopic limits
Carmen Mezquita-Nieto, Paola Goatin, Axel Klar
math.NAmath.AParXiv:2608.27159v12026
ConsultMind:Towards Automated Diagnostic Consultation via Uncertainty-Aware Reasoning
Xiao Sun, Yuming Yang, Yun Chen +9
cs.AIarXiv:2609.30796v12026
Multiagent Evaluation under Incomplete Information
Mark Rowland, Shayegan Omidshafiei, Karl Tuyls +4
cs.MAcs.AIcs.LGarXiv:1909.09849v42019
Pooling and Drift in Delayed Bandits
Melika Baghi
stat.MLcs.LGarXiv:2609.01761v12026

Every paper with a summary

Inverting Gradients -- How easy is it to break privacy in federated learning?

Cue the Flow: Steering Flow-Matching Policies for Open-World Delivery Manipulation

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

Representation Distribution Matching for One-Step Visual Generation

Dynamical phase selection controls compute scaling in looped transformers

AST-Based Automated Elimination of break and continue Statements in Java Code

Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers

Attribute-Based Activation Steering of LLMs for Group-Specific Explanation Generation

Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms

MemPO: Self-Memory Policy Optimization for Long-Horizon Agents

Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection

Demonstration of fidelity improvement using dynamical decoupling with superconducting qubits

Teaching LLMs a Low-Resource Language: Enhancing Code Completion in Pharo

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning

Degrees of Freedom of MIMO X Networks: Spatial Scale Invariance, One-Sided Decomposability and Linear Feasibility

A second-order and nonuniform time-stepping maximum-principle preserving scheme for time-fractional Allen-Cahn equations

RoboNet: Large-Scale Multi-Robot Learning

Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach

DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

SpatialDiff: 3D-Aware Object Movement via Implicit Spatial Modeling

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Online Temporal Calibration for Monocular Visual-Inertial Systems

Highly Detailed Simulation for Connected Automated Vehicle Cooperative Driving

Can Large Reasoning Models Self-Train?

Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders

Transfer Learning for Evolving Domains

Deep Equilibrium Models

F-LMM: Grounding Frozen Large Multimodal Models

Low-Rank Ternary Adaptation for Fine-Tuning Transformers

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora

Symbolic Classification-Enabled LHC Limits Online BSM Global Fits

Local Graph Clustering with Network Lasso

Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience

Transformer-based In-Context Score Operator Learning for Diffusion Models

Adaptive Peer Clustering with Hierarchical Random Linear Network Coding for Resilient Decentralized Wireless Networks

The nonlinear heat equation on dense graphs and graph limits

On the Role of Discreteness in Diffusion LLMs

SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos

DYNOTEARS: Structure Learning from Time-Series Data

SolarBench: A global solar energy nowcasting benchmark

The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning

Dynamic Matching with Abandonment: Optimal Guarantees via Static Priority Policies

Deep Learning for Time Series Forecasting: The Electric Load Case

SeqAlign3DVG: A Sequence-Aligned Benchmark and Voxel Reasoning Framework for 3D Visual Grounding

From average case complexity to improper learning complexity

DuMateBench: Evaluating Autonomous Agents in Complex Real-World Workflows

Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges

Scalable Hierarchical Clustering with Tree Grafting

CHIP: CHannel Independence-based Pruning for Compact Neural Networks

Catalogue of Topological Electronic Materials

Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning

Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications

MAPEL: Achieving Global Optimality for a Non-convex Wireless Power Control Problem

Reasoning-Driven Multimodal LLM for Domain Generalization

On the Fundamental Limits of Adaptive Sensing

A multi-class kinetic traffic flow model: discrete-velocity formulation and diffusively-corrected macroscopic limits

ConsultMind:Towards Automated Diagnostic Consultation via Uncertainty-Aware Reasoning

Multiagent Evaluation under Incomplete Information

Pooling and Drift in Delayed Bandits