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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6,241 to 6,300 of 61,393

On the Characterization of Local Nash Equilibria in Continuous Games
Lillian J. Ratliff, Samuel A. Burden, S. Shankar Sastry
math.OCarXiv:1411.2168v12014
All scale-free networks are sparse
Charo I. Del Genio, Thilo Gross, Kevin E. Bassler
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1106.5150v22011
Simulations of the WFIRST Supernova Survey and Forecasts of Cosmological Constraints
R. Hounsell, D. Scolnic, R. J. Foley +14
astro-ph.IMarXiv:1702.01747v22017
What Artificial Neural Networks Can Tell Us About Human Language Acquisition
Alex Warstadt, Samuel R. Bowman
cs.CLarXiv:2208.07998v22022
Community Detection in Degree-Corrected Block Models
Chao Gao, Zongming Ma, Anderson Y. Zhang +1
math.STcs.SIstat.MLarXiv:1607.06993v12016
Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction
Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu +1
cs.LGcs.CVarXiv:2609.09486v12026
Koopman-based lifting techniques for nonlinear systems identification
Alexandre Mauroy, Jorge Goncalves
math.OCeess.SYmath.DSarXiv:1709.02003v42017
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
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt +1
cs.CVarXiv:2010.12447v22020
Exact-Form Regret for Gradient Descent, Mirror Descent and Follow-the-Regularized-Leader
Ashkan Soleymani, Gabriele Farina, Patrick Jaillet
cs.LGcs.GTmath.OCarXiv:2609.09466v12026
Gentle Measurement of Quantum States and Differential Privacy
Scott Aaronson, Guy N. Rothblum
quant-pharXiv:1904.08747v12019
Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments
Gui Zhou, Cunhua Pan, Hong Ren +2
cs.ITeess.SParXiv:2012.12733v32020
A Lower Bound for the Distributed Lovász Local Lemma
Sebastian Brandt, Orr Fischer, Juho Hirvonen +5
cs.DCcs.CCarXiv:1511.00900v12015
Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning Attacks
Ammar Kamoona, Sajad Koushkbaghi, Mahdi Jalili +2
cs.LGcs.CRcs.NEarXiv:2609.09564v12026
Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
Yi Yu, Feipeng Da
cs.CVarXiv:2211.06368v22022
Smoothed Analysis of Tensor Decompositions
Aditya Bhaskara, Moses Charikar, Ankur Moitra +1
cs.DScs.LGstat.MLarXiv:1311.3651v42013
AudioBench: A Universal Benchmark for Audio Large Language Models
Bin Wang, Xunlong Zou, Geyu Lin +6
cs.SDcs.CLeess.ASarXiv:2406.16020v52024
Unthrottling the Tanh Jacobian in SAC: A Negative Result on Bang-Bang Control and MetaDrive
Faiq Shamass
cs.LGcs.ROarXiv:2609.09478v12026
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis
Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh
cs.LGcs.CVeess.IVarXiv:2206.08826v22022
Improved Distributed Principal Component Analysis
Maria-Florina Balcan, Vandana Kanchanapally, Yingyu Liang +1
cs.LGarXiv:1408.5823v52014
Efficient Private ERM for Smooth Objectives
Jiaqi Zhang, Kai Zheng, Wenlong Mou +1
cs.LGcs.DSstat.MLarXiv:1703.09947v22017
Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
Zhuoyan Luo, Fengyuan Shi, Yixiao Ge +3
cs.CVcs.AIarXiv:2409.04410v32024
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network
Sharath Adavanne, Pasi Pertilä, Tuomas Virtanen
cs.SDcs.LGarXiv:1706.02291v12017
The Anatomy of a Cryptocurrency Pump-and-Dump Scheme
Jiahua Xu, Benjamin Livshits
q-fin.TRcs.LGarXiv:1811.10109v22018
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
Bo Jiang, Shaoyu Chen, Bencheng Liao +6
cs.CVcs.ROarXiv:2410.22313v12024
UniMorph 2.0: Universal Morphology
Christo Kirov, Ryan Cotterell, John Sylak-Glassman +10
cs.CLarXiv:1810.11101v22018
Neuro-symbolic representation learning on biological knowledge graphs
Mona Alshahrani, Mohammed Asif Khan, Omar Maddouri +3
q-bio.QMcs.LGq-bio.MNarXiv:1612.04256v12016
Convergence to Equilibrium in Local Interaction Games and Ising Models
Andrea Montanari, Amin Saberi
cs.GTarXiv:0812.0198v12008
Muon-C: Operator-Aligned Muon for Convolutional Kernels
Jiaxin Qing, Lexin Li
cs.LGstat.MLarXiv:2609.09676v12026
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations
David Acuna, Amlan Kar, Sanja Fidler
cs.CVcs.AIarXiv:1904.07934v22019
A comparison of Vector Symbolic Architectures
Kenny Schlegel, Peer Neubert, Peter Protzel
cs.AIarXiv:2001.11797v42020
Mining Latent Classes for Few-shot Segmentation
Lihe Yang, Wei Zhuo, Lei Qi +2
cs.CVarXiv:2103.15402v32021
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi +2
cs.CVarXiv:2307.12868v22023
d3rlpy: An Offline Deep Reinforcement Learning Library
Takuma Seno, Michita Imai
cs.LGcs.AIarXiv:2111.03788v22021
Positional task conditioning for scalable defect detection across product families in large product catalogs
Soham Satyadharma, Gabriel Roccabruna, Suleiman A. Khan
cs.LGarXiv:2609.09567v12026
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
Pengfei Liu, Yiming Ren, Jun Tao +1
cs.LGcs.CLq-bio.BMarXiv:2308.06911v32023
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
Luis Barroso-Luque, Muhammed Shuaibi, Xiang Fu +6
cond-mat.mtrl-scics.AIphysics.comp-pharXiv:2410.12771v22024
SecDec: A general program for sector decomposition
Jonathon Carter, Gudrun Heinrich
hep-pharXiv:1011.5493v22010
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Yabo Ni, Dan Ou, Shichen Liu +4
stat.MLcs.LGarXiv:1805.10727v12018
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Xiangyun Zhao, Haoxiang Li, Xiaohui Shen +2
cs.CVarXiv:1807.06708v22018
POD/DEIM Nonlinear model order reduction of an ADI implicit shallow water equations model
Razvan Stefanescu, Ionel Michael Navon
physics.comp-phmath.NAarXiv:1211.2521v12012
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang, Joel Lehman, Aditya Rawal +4
cs.NEarXiv:2003.08536v22020
Sample-efficient learning of quantum many-body systems
Anurag Anshu, Srinivasan Arunachalam, Tomotaka Kuwahara +1
quant-phcond-mat.stat-mechcs.LGarXiv:2004.07266v12020
DM-VIO: Delayed Marginalization Visual-Inertial Odometry
Lukas von Stumberg, Daniel Cremers
cs.CVcs.ROarXiv:2201.04114v12022
DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering
Stefano Borgo, Roberta Ferrario, Aldo Gangemi +5
cs.AIarXiv:2308.01597v12023
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming, Ying Fan, Yixuan Li
cs.LGcs.AIcs.CVarXiv:2206.13687v12022
Multi-Armed Bandits for Intelligent Tutoring Systems
Benjamin Clement, Didier Roy, Pierre-Yves Oudeyer +1
cs.AIarXiv:1310.3174v22013
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation
Tom Kocmi, Ondrej Bojar
cs.CLarXiv:1707.09533v12017
Building the Harness Automatically: Self-Play in Code Distills a Text Harness for Black-Box Optimization
Yi Wu, Zheng Ren, Zhiyu Hu +8
cs.LGarXiv:2609.09468v12026
Learning Latent Subspaces in Variational Autoencoders
Jack Klys, Jake Snell, Richard Zemel
cs.LGcs.CVstat.MLarXiv:1812.06190v12018
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang, Yuzhe Ma, Adish Singla +1
cs.LGcs.AIcs.CRarXiv:2003.12613v22020
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
cs.CVarXiv:2108.09274v12021
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
Bowen Zhang, Harold Soh
cs.CLcs.AIcs.LGarXiv:2404.03868v22024
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds
Zhenggang Tang, Yuchen Fan, Dilin Wang +4
cs.CVcs.AIarXiv:2412.06974v12024
Symbolic Models for Nonlinear Control Systems: Alternating Approximate Bisimulations
Giordano Pola, Paulo Tabuada
math.OCarXiv:0707.4205v12007
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
Nihar B. Shah, Sivaraman Balakrishnan, Adityanand Guntuboyina +1
stat.MLcs.ITcs.LGarXiv:1510.05610v42015
Uncertainty-Aware Sea-Ice Type Mapping with Multiple Ice Charts
Samira Alkaee Taleghan, Younghyun Koo, Andrew P. Barrett +1
cs.LGarXiv:2609.09451v12026
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks +1
eess.IVcs.LGq-bio.QMarXiv:2002.02497v22020
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
Zhuo Zheng, Ailong Ma, Liangpei Zhang +1
cs.CVarXiv:2108.07002v32021
Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics
Will Houser, Vanja Dukic, David M. Bortz
cs.LGcs.CEstat.MLarXiv:2609.09434v12026

Every paper with a summary

On the Characterization of Local Nash Equilibria in Continuous Games

All scale-free networks are sparse

Simulations of the WFIRST Supernova Survey and Forecasts of Cosmological Constraints

What Artificial Neural Networks Can Tell Us About Human Language Acquisition

Community Detection in Degree-Corrected Block Models

Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction

Koopman-based lifting techniques for nonlinear systems identification

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

LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration

Exact-Form Regret for Gradient Descent, Mirror Descent and Follow-the-Regularized-Leader

Gentle Measurement of Quantum States and Differential Privacy

Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments

A Lower Bound for the Distributed Lovász Local Lemma

Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning Attacks

Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection

Smoothed Analysis of Tensor Decompositions

AudioBench: A Universal Benchmark for Audio Large Language Models

Unthrottling the Tanh Jacobian in SAC: A Negative Result on Bang-Bang Control and MetaDrive

Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis

Improved Distributed Principal Component Analysis

Efficient Private ERM for Smooth Objectives

Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network

The Anatomy of a Cryptocurrency Pump-and-Dump Scheme

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

UniMorph 2.0: Universal Morphology

Neuro-symbolic representation learning on biological knowledge graphs

Convergence to Equilibrium in Local Interaction Games and Ising Models

Muon-C: Operator-Aligned Muon for Convolutional Kernels

Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations

A comparison of Vector Symbolic Architectures

Mining Latent Classes for Few-shot Segmentation

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

d3rlpy: An Offline Deep Reinforcement Learning Library

Positional task conditioning for scalable defect detection across product families in large product catalogs

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text

Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

SecDec: A general program for sector decomposition

Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks

A Modulation Module for Multi-task Learning with Applications in Image Retrieval

POD/DEIM Nonlinear model order reduction of an ADI implicit shallow water equations model

Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions

Sample-efficient learning of quantum many-body systems

DM-VIO: Delayed Marginalization Visual-Inertial Odometry

DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering

POEM: Out-of-Distribution Detection with Posterior Sampling

Multi-Armed Bandits for Intelligent Tutoring Systems

Curriculum Learning and Minibatch Bucketing in Neural Machine Translation

Building the Harness Automatically: Self-Play in Code Distills a Text Harness for Black-Box Optimization

Learning Latent Subspaces in Variational Autoencoders

Adaptive Reward-Poisoning Attacks against Reinforcement Learning

MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction

Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction

MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds

Symbolic Models for Nonlinear Control Systems: Alternating Approximate Bisimulations

Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues

Uncertainty-Aware Sea-Ice Type Mapping with Multiple Ice Charts

On the limits of cross-domain generalization in automated X-ray prediction

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics