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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85,921 to 85,980 of 103,216

Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks
Arjun, Aniket Singh Rajpoot, Mahesh Raveendranatha Panicker
cs.NEeess.SParXiv:2106.03461v32021
Digitization of Scalar Fields for Quantum Computing
Natalie Klco, Martin J. Savage
quant-phhep-lathep-pharXiv:1808.10378v22018
Cosmos 3: Omnimodal World Models for Physical AI
NVIDIA, :, Aditi +293
cs.CVcs.AIcs.LGarXiv:2606.02800v42026
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng, Alexander G. Schwing, Alexander Kirillov
cs.CVarXiv:2107.06278v22021
Bike Flow Prediction with Multi-Graph Convolutional Networks
Di Chai, Leye Wang, Qiang Yang
cs.LGcs.AIstat.MLarXiv:1807.10934v12018
A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges
Andrew Brown, Muhammad Roman, Barry Devereux
cs.DLcs.AIcs.CLarXiv:2508.06401v32025
Change the Product, Keep the Parameters: Associative Algebra Layers for Transformers
Ilya Koziev, Ivan Oseledets
cs.LGcs.PFarXiv:2609.32814v12026
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
Trapit Bansal, David Belanger, Andrew McCallum
stat.MLcs.CLcs.LGarXiv:1609.02116v22016
Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments
Shibo Zhao, Hengrui Zhang, Peng Wang +2
cs.ROarXiv:2104.14938v22021
Pseudo-likelihood methods for community detection in large sparse networks
Arash A. Amini, Aiyou Chen, Peter J. Bickel +1
cs.SIcs.LGmath.STarXiv:1207.2340v32012
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Majed El Helou, Sabine Süsstrunk
cs.CVeess.IVarXiv:1907.03029v22019
PowerSlider: Exploiting Phase Asymmetry for LLM Serving under Demand Response
Yueying Li, Jiayang Chen, Yuanfan Chen +5
cs.DCcs.AIarXiv:2608.21719v12026
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
Pengrui Han, Rafal Kocielnik, Peiyang Song +4
cs.AIcs.CLcs.CYarXiv:2509.03730v22025
Dear Algo: A Precision-First Agentic Intent Layer for Unified Search and Recommendation
Rui Wang, Jiazhou Wang, Zheng Wei +16
cs.AIarXiv:2608.15877v12026
Region-Constraint In-Context Generation for Instructional Video Editing
Zhongwei Zhang, Fuchen Long, Wei Li +4
cs.CVcs.MMarXiv:2512.17650v12025
Supervising strong learners by amplifying weak experts
Paul Christiano, Buck Shlegeris, Dario Amodei
cs.LGcs.AIstat.MLarXiv:1810.08575v12018
Neural Ordinary Differential Equations
Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt +1
cs.LGcs.AIstat.MLarXiv:1806.07366v52018
Self-Attention with Relative Position Representations
Peter Shaw, Jakob Uszkoreit, Ashish Vaswani
cs.CLarXiv:1803.02155v22018
Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack
Hao Wang, Hanchen Li, Qiuyang Mang +3
cs.AIcs.CRarXiv:2605.12673v12026
A Priori Estimates for Solutions of Boundary Value Problems for Fractional-Order Equations
A. A. Alikhanov
math.NAmath-pharXiv:1105.4592v12011
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Bo Li, Tianlei Zhang, Tian Xia
cs.CVcs.ROarXiv:1608.07916v12016
SurGe: Improved Surface Geometry in Point Maps
Karim Knaebel, Gonzalo Martin Garcia, Christian Schmidt +4
cs.CVarXiv:2605.31577v12026
Consistent4D: Consistent 360{\deg} Dynamic Object Generation from Monocular Video
Yanqin Jiang, Li Zhang, Jin Gao +2
cs.CVarXiv:2311.02848v12023
Hierarchical Graph Transformer with Adaptive Node Sampling
Zaixi Zhang, Qi Liu, Qingyong Hu +1
cs.LGcs.AIarXiv:2210.03930v12022
A review of machine learning applications in wildfire science and management
Piyush Jain, Sean C P Coogan, Sriram Ganapathi Subramanian +3
cs.LGstat.MLarXiv:2003.00646v22020
Additive Nonparametric Regression with Spatial and Network Objects
Rajarshi Guhaniyogi, Pritam Dey, Krishnendu Chandra +2
stat.MEstat.APstat.MLarXiv:2609.26867v12026
Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO
Zhen Gao, Linglong Dai, Zhaocheng Wang +1
cs.ITarXiv:1604.03695v32016
Collective credit allocation in science
Hua-Wei Shen, Albert-László Barabási
physics.soc-phcs.DLarXiv:1408.3455v12014
Analysis and Detection of Stagnation in Floating-Point Summation
Mantas Mikaitis, William Woolfenden
math.NAcs.NAarXiv:2610.10819v12026
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research
Benjamin Birnbaum, Nathan Nussbaum, Katharina Seidl-Rathkopf +7
cs.CYcs.LGarXiv:2001.09765v12020
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
Bowen Li, Weixia Zhang, Meng Tian +2
eess.IVcs.CVarXiv:2108.08505v22021
Understanding Oversquashing in GNNs through the Lens of Effective Resistance
Mitchell Black, Zhengchao Wan, Amir Nayyeri +1
cs.LGarXiv:2302.06835v22023
MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
Md Mehrab Tanjim, Jayakumar Subramanian, Xiang Chen +6
cs.AIcs.LGcs.SEarXiv:2605.19330v12026
On the Gram matrix of standard inner products of asymmetrically-weighted Hermite functions
Ruiyang Dai
math.NAmath-pharXiv:2609.01144v12026
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick +1
cs.CVarXiv:1506.01497v32015
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
Hu Han, Anil K. Jain, Fang Wang +2
cs.CVarXiv:1706.00906v32017
Exact Dynamics and Finite-Sample Trajectory Recovery of Linear Recursive Feature Machines
Andrew Cheng, Bobak T. Kiani, Yue M. Lu +1
cs.LGstat.MLarXiv:2610.09196v12026
IGNITE Tokamak World Model Architecture
Peter Steiner, Azarakhsh Jalalvand, Nathaniel Chen +4
physics.plasm-phcs.AIcs.LGarXiv:2610.02515v12026
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision
Bobby Azad, Reza Azad, Sania Eskandari +4
cs.CVarXiv:2310.18689v12023
Tuning ROS 2 for Energy-Efficient Navigation: Empirical Insights from Costmap 2D Configurations
Michel Albonico, Andreas Wortmann, Ivano Malavolta
cs.ROcs.SYeess.SYarXiv:2609.12971v12026
Towards Whole-Study Screening for Congenital Heart Disease in Fetal Ultrasound Using Multiple Instance Learning
Mohamed Azzam, Ruobing Liu, Esther C. Ugwueke +8
eess.IVcs.CVarXiv:2609.31376v12026
ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization
Ilka Antcheva, Maarten Ballintijn, Bertrand Bellenot +24
physics.data-ancs.DCarXiv:1508.07749v12015
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán, Umang Bhatt, Tameem Adel +2
stat.MLcs.LGarXiv:2006.06848v22020
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray +1
stat.MLcs.LGarXiv:2101.09258v42021
Could a Large Language Model be Conscious?
David J. Chalmers
cs.AIcs.CLcs.LGarXiv:2303.07103v32023
Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space
Travis Gagie, Gonzalo Navarro, Nicola Prezza
cs.DSarXiv:1809.02792v22018
Deep Learning Based Steel Pipe Weld Defect Detection
Dingming Yang, Yanrong Cui, Zeyu Yu +1
cs.CVcs.AIarXiv:2104.14907v22021
When Can You Debias an LLM Judge? Identifiability Limits, a Test, and Designs for Top-k Ranking
Jian Xu, Delu Zeng, John Paisley +1
cs.LGarXiv:2607.02104v22026
Optical Harmonic Vernier Effect: A New Tool for High Performance Interferometric Fibre Sensors
André D. Gomes, Marta S. Ferreira, Jörg Bierlich +4
physics.opticsphysics.ins-detarXiv:1909.02770v32019
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Zonghan Wu, Shirui Pan, Guodong Long +3
cs.LGstat.MLarXiv:2005.11650v12020
Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning
Mena Attia, Mona Diab, Thamar Solorio
cs.CLarXiv:2608.18361v12026
Minimizing Age of Information with Power Constraints: Multi-user Opportunistic Scheduling in Multi-State Time-Varying Channels
Haoyue Tang, Jintao Wang, Linqi Song +1
cs.ITarXiv:1912.05947v42019
From Pre-Quantum to Post-Quantum IoT Security: A Survey on Quantum-Resistant Cryptosystems for the Internet of Things
Tiago M. Fernandez-Carames
cs.CRarXiv:2402.00790v22024
Content Based Video Narration of Gameplay with Vision Language Models
Mathew Varghese
cs.CVcs.AIcs.GRarXiv:2608.14016v12026
MaxwellNet: Physics-driven deep neural network training based on Maxwell's equations
Joowon Lim, Demetri Psaltis
physics.opticsarXiv:2107.06164v12021
Decoupling Turn-Taking from Semantics: A Decoupled Data Approach for Finite-State-Machine-Based Full-Duplex Dialogue
Yihang Li, Chenhui Chu
cs.CLarXiv:2609.03321v12026
Adapting Generative Recommenders for Multi-Turn Interaction
Yu-Chen Den, Zhi Rui Tam, Yung-Yu Shih +4
cs.IRarXiv:2610.08136v12026
Thinking Before Constraining: A Unified Decoding Framework for Large Language Models
Ngoc Trinh Hung Nguyen, Alonso Silva, Laith Zumot +3
cs.CLcs.AIarXiv:2601.07525v22026
Relation Extraction : A Survey
Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya
cs.CLcs.AIcs.IRarXiv:1712.05191v12017
A proof that Anderson acceleration improves the convergence rate in linearly converging fixed point methods (but not in those converging quadratically)
Claire Evans, Sara Pollock, Leo G. Rebholz +1
math.NAcs.NAarXiv:1810.08455v22018

Every paper with a summary

Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks

Digitization of Scalar Fields for Quantum Computing

Cosmos 3: Omnimodal World Models for Physical AI

Per-Pixel Classification is Not All You Need for Semantic Segmentation

Bike Flow Prediction with Multi-Graph Convolutional Networks

A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges

Change the Product, Keep the Parameters: Associative Algebra Layers for Transformers

Ask the GRU: Multi-Task Learning for Deep Text Recommendations

Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments

Pseudo-likelihood methods for community detection in large sparse networks

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

PowerSlider: Exploiting Phase Asymmetry for LLM Serving under Demand Response

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs

Dear Algo: A Precision-First Agentic Intent Layer for Unified Search and Recommendation

Region-Constraint In-Context Generation for Instructional Video Editing

Supervising strong learners by amplifying weak experts

Neural Ordinary Differential Equations

Self-Attention with Relative Position Representations

Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack

A Priori Estimates for Solutions of Boundary Value Problems for Fractional-Order Equations

Vehicle Detection from 3D Lidar Using Fully Convolutional Network

SurGe: Improved Surface Geometry in Point Maps

Consistent4D: Consistent 360{\deg} Dynamic Object Generation from Monocular Video

Hierarchical Graph Transformer with Adaptive Node Sampling

A review of machine learning applications in wildfire science and management

Additive Nonparametric Regression with Spatial and Network Objects

Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

Collective credit allocation in science

Analysis and Detection of Stagnation in Floating-Point Summation

Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research

Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception

Understanding Oversquashing in GNNs through the Lens of Effective Resistance

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization

On the Gram matrix of standard inner products of asymmetrically-weighted Hermite functions

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach

Exact Dynamics and Finite-Sample Trajectory Recovery of Linear Recursive Feature Machines

IGNITE Tokamak World Model Architecture

Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

Tuning ROS 2 for Energy-Efficient Navigation: Empirical Insights from Costmap 2D Configurations

Towards Whole-Study Screening for Congenital Heart Disease in Fetal Ultrasound Using Multiple Instance Learning

ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization

Getting a CLUE: A Method for Explaining Uncertainty Estimates

Maximum Likelihood Training of Score-Based Diffusion Models

Could a Large Language Model be Conscious?

Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space

Deep Learning Based Steel Pipe Weld Defect Detection

When Can You Debias an LLM Judge? Identifiability Limits, a Test, and Designs for Top-k Ranking

Optical Harmonic Vernier Effect: A New Tool for High Performance Interferometric Fibre Sensors

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning

Minimizing Age of Information with Power Constraints: Multi-user Opportunistic Scheduling in Multi-State Time-Varying Channels

From Pre-Quantum to Post-Quantum IoT Security: A Survey on Quantum-Resistant Cryptosystems for the Internet of Things

Content Based Video Narration of Gameplay with Vision Language Models

MaxwellNet: Physics-driven deep neural network training based on Maxwell's equations

Decoupling Turn-Taking from Semantics: A Decoupled Data Approach for Finite-State-Machine-Based Full-Duplex Dialogue

Adapting Generative Recommenders for Multi-Turn Interaction

Thinking Before Constraining: A Unified Decoding Framework for Large Language Models

Relation Extraction : A Survey

A proof that Anderson acceleration improves the convergence rate in linearly converging fixed point methods (but not in those converging quadratically)