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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68,461 to 68,520 of 104,899

scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
Chenglei Yu, Chuanrui Wang, Bangyan Liao +1
q-bio.QMcs.AIarXiv:2602.07103v12026
MASS: Multiplayer World Models with Authoritative Shared State
Ziqi Cai, Siqi Yang, Yimu Wang +6
cs.CVcs.HCarXiv:2608.06257v22026
Reinforced Latent Reasoning for LLM-based Recommendation
Yang Zhang, Wenxin Xu, Xiaoyan Zhao +4
cs.AIarXiv:2505.19092v22025
Neuro-Memory Fuzzy Inference System for Mimicking Human-like Car Following Behavior
Nazmul Haque, Md Asif Raihan. Md. Hadiuzzaman
cs.LGcs.AIarXiv:2610.11252v12026
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
Minzhi Li, Taiwei Shi, Caleb Ziems +4
cs.CLarXiv:2310.15638v12023
Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk
Fariborz Setoudehtazang, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:2608.30561v12026
Interactive Proofs For Quantum Computations
Dorit Aharonov, Michael Ben-Or, Elad Eban
quant-pharXiv:0810.5375v22008
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava, Rahul Sukthankar, Jitendra Malik +1
cs.CVcs.LGarXiv:1612.06851v22016
One-step Latent-free Image Generation with Pixel Mean Flows
Yiyang Lu, Susie Lu, Qiao Sun +6
cs.CVarXiv:2601.22158v32026
Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball, Laura Smith, Ilya Kostrikov +1
cs.LGcs.AIarXiv:2302.02948v42023
Atlases Are Already Inside: Recovering Population Templates from Pretrained Diffusion Models
Jian Shi, John Femiani, Peter Wonka
cs.CVarXiv:2609.30566v12026
A Physics Informed Neural Network for Time-Dependent Nonlinear and Higher Order Partial Differential Equations
Revanth Mattey, Susanta Ghosh
math.NAphysics.comp-pharXiv:2106.07606v12021
OmniAudio: Generating Spatial Audio from 360-Degree Video
Huadai Liu, Tianyi Luo, Kaicheng Luo +11
eess.AScs.CVcs.SDarXiv:2504.14906v32025
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Haochen Wang, Xiaodan Du, Jiahao Li +2
cs.CVcs.LGarXiv:2212.00774v12022
Cormorant: Covariant Molecular Neural Networks
Brandon Anderson, Truong-Son Hy, Risi Kondor
physics.comp-phcs.LGstat.MLarXiv:1906.04015v32019
MetaHOPE: A Metaphor-Oriented Evaluation Framework for Analysing MT and LLM Translation Errors
Jiahui Liang, Lifeng Han
cs.CLarXiv:2607.00848v32026
High-dimensional learning of linear causal networks via inverse covariance estimation
Po-Ling Loh, Peter Bühlmann
stat.MLmath.STarXiv:1311.3492v12013
Some modifications to the SNIP journal impact indicator
Ludo Waltman, Nees Jan van Eck, Thed N. van Leeuwen +1
cs.DLarXiv:1209.0785v12012
The Zeno's Paradox of `Low-Resource' Languages
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman +2
cs.CLarXiv:2410.20817v12024
Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding
Vardan Papyan, Jeremias Sulam, Michael Elad
cs.ITarXiv:1607.02009v32016
Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
Amit Roth, Ankur Samanta, Matan Halevy +2
cs.LGcs.AIarXiv:2605.20744v12026
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu +5
cs.IRcs.LGcs.PFarXiv:1711.07601v12017
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving
Eren Erdal Aksoy, Saimir Baci, Selcuk Cavdar
cs.CVcs.ROarXiv:1909.08291v12019
DataComp-VLM: Improved Open Datasets for Vision-Language Models
Matteo Farina, Vishaal Udandarao, Thao Nguyen +33
cs.CVcs.CLcs.LGarXiv:2606.28551v32026
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
Holger Schwenk, Matthijs Douze
cs.CLarXiv:1704.04154v22017
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications
Stanley H. Chan, Xiran Wang, Omar A. Elgendy
cs.CVarXiv:1605.01710v22016
Deep Learning for Brain Age Estimation: A Systematic Review
M. Tanveer, M. A. Ganaie, Iman Beheshti +7
eess.IVcs.AIcs.CVarXiv:2212.03868v12022
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch, Michael M. Bronstein, Siddhartha Mishra
cs.LGarXiv:2303.10993v12023
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
Zhao Yang, Jiaqi Wang, Yansong Tang +3
cs.CVcs.CLarXiv:2112.02244v22021
Synthetic turbulent inflow generator using machine learning
Kai Fukami, Yusuke Nabae, Ken Kawai +1
physics.flu-dynarXiv:1806.08903v32018
VISTA: View-Consistent Self-Verified Training for GUI Grounding
Xinyu Qiu, Yunzhu Zhang, Heng Jia +3
cs.AIarXiv:2606.14579v12026
A Lyapunov-based Approach to Safe Reinforcement Learning
Yinlam Chow, Ofir Nachum, Edgar Duenez-Guzman +1
cs.LGcs.AIstat.MLarXiv:1805.07708v12018
A Belief Propagation Algorithm for Multipath-Based SLAM
Erik Leitinger, Florian Meyer, Franz Hlawatsch +3
cs.ITcs.ROarXiv:1801.04463v42018
Energy-Efficient Design of IRS-NOMA Networks
Fang Fang, Yanqing Xu, Quoc-Viet Pham +1
eess.SPcs.ITarXiv:2009.05344v12020
Decoding Error Probability of the Random Code Ensemble over the Erasure Channel
Chin Hei Chan
cs.ITarXiv:2609.04688v12026
Active Liquidity On Chain: Evidence from PropAMMs Across Chains
Ozan Solmaz, Lioba Heimbach, Jason Milionis
cs.CEarXiv:2609.38056v12026
Hypergraph Embedding Indexing for Efficient Dense Vector Retrieval
Kishore Konda
cs.IRcs.AIarXiv:2608.22980v12026
From State to Action: OODA-Tool for Reliable Multi-Turn Tool Use
Rongfeng Guo, Yinxuan Huang, Yusen Wu +5
cs.AIcs.SEarXiv:2608.24368v12026
Coalition Formation Games for Distributed Cooperation Among Roadside Units in Vehicular Networks
Walid Saad, Zhu Han, Are Hjørungnes +2
cs.ITcs.GTcs.SYarXiv:1010.1438v12010
A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale
Jason W. Bohland, Caizhi Wu, Helen Barbas +34
q-bio.NCarXiv:0901.4598v12009
Progressive Domain Expansion Network for Single Domain Generalization
Lei Li, Ke Gao, Juan Cao +6
cs.CVarXiv:2103.16050v12021
PLATO: Policy Learning using Adaptive Trajectory Optimization
Gregory Kahn, Tianhao Zhang, Sergey Levine +1
cs.LGarXiv:1603.00622v42016
Freezing Calder\'on: Robust Preconditioning for Maxwell Scattering under Shape Uncertainty
Paul Escapil-Inchauspé, Carlos Jerez-Hanckes
math.NAcs.NAarXiv:2609.30559v12026
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
Sumio Watanabe
cs.LGarXiv:1004.2316v22010
Even Faster Knapsack via Rectangular Monotone Min-Plus Convolution and Balancing
Karl Bringmann, Anita Dürr, Adam Polak
cs.DSarXiv:2404.05681v22024
A 3D Summation-by-Parts scheme on a Hyperboloidal Foliation of Minkowski
Shalabh Gautam
gr-qcmath-phmath.AParXiv:2608.25363v12026
Analysis of Respiratory Sinus Arrhythmia with Neural Networks
Julian Szymanski, Patryk Orkisz, Higinio Mora
cs.LGcs.AIarXiv:2609.05698v12026
Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
Haojie Shi, Bo Zhou, Hongsheng Zeng +6
cs.ROcs.AIarXiv:2109.06409v22021
RGB-T Image Saliency Detection via Collaborative Graph Learning
Zhengzheng Tu, Tian Xia, Chenglong Li +3
cs.CVarXiv:1905.06741v12019
NeoTriFuse: Reliability-Aware Multimodal Fusion under Missingness Heterogeneity for Neonatal Mortality Risk Prediction
Jiyuan Tian, Qincheng Shen, Ye Lin +2
cs.LGarXiv:2608.26436v12026
Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States
Yurun Yuan, Tengyang Xie
cs.LGcs.AIcs.CLarXiv:2603.19987v12026
Beyond Code Generation: Reliability, Verification, and Cost Economics in the Agentic Software Development Lifecycle
Happy Bhati
cs.SEcs.AIarXiv:2609.04681v12026
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Yan Lu, Xinzhu Ma, Lei Yang +5
cs.CVarXiv:2107.13774v22021
Recurrent Pixel Embedding for Instance Grouping
Shu Kong, Charless Fowlkes
cs.CVcs.LGcs.MMarXiv:1712.08273v12017
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer +4
cs.CLcs.AIcs.CVarXiv:2402.05602v22024
Transmit MIMO Radar Beampattern Design Via Optimization on the Complex Circle Manifol
Khaled Alhujaili, Vishal Monga, Muralidhar Rangaswamy
eess.SParXiv:1904.07329v12019
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
Chuan Wang, Haibin Huang, Xiaoguang Han +1
cs.CVarXiv:1806.08482v22018
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks
Elena Smirnova, Flavian Vasile
cs.IRarXiv:1706.07684v12017
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Haiming Wang, Huajian Xin, Chuanyang Zheng +11
cs.AIarXiv:2310.00656v32023
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher +2
cs.CVarXiv:1811.12833v22018

Every paper with a summary

scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction

MASS: Multiplayer World Models with Authoritative Shared State

Reinforced Latent Reasoning for LLM-based Recommendation

Neuro-Memory Fuzzy Inference System for Mimicking Human-like Car Following Behavior

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk

Interactive Proofs For Quantum Computations

Beyond Skip Connections: Top-Down Modulation for Object Detection

One-step Latent-free Image Generation with Pixel Mean Flows

Efficient Online Reinforcement Learning with Offline Data

Atlases Are Already Inside: Recovering Population Templates from Pretrained Diffusion Models

A Physics Informed Neural Network for Time-Dependent Nonlinear and Higher Order Partial Differential Equations

OmniAudio: Generating Spatial Audio from 360-Degree Video

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

Cormorant: Covariant Molecular Neural Networks

MetaHOPE: A Metaphor-Oriented Evaluation Framework for Analysing MT and LLM Translation Errors

High-dimensional learning of linear causal networks via inverse covariance estimation

Some modifications to the SNIP journal impact indicator

The Zeno's Paradox of `Low-Resource' Languages

Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding

Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving

DataComp-VLM: Improved Open Datasets for Vision-Language Models

Learning Joint Multilingual Sentence Representations with Neural Machine Translation

Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications

Deep Learning for Brain Age Estimation: A Systematic Review

A Survey on Oversmoothing in Graph Neural Networks

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

Synthetic turbulent inflow generator using machine learning

VISTA: View-Consistent Self-Verified Training for GUI Grounding

A Lyapunov-based Approach to Safe Reinforcement Learning

A Belief Propagation Algorithm for Multipath-Based SLAM

Energy-Efficient Design of IRS-NOMA Networks

Decoding Error Probability of the Random Code Ensemble over the Erasure Channel

Active Liquidity On Chain: Evidence from PropAMMs Across Chains

Hypergraph Embedding Indexing for Efficient Dense Vector Retrieval

From State to Action: OODA-Tool for Reliable Multi-Turn Tool Use

Coalition Formation Games for Distributed Cooperation Among Roadside Units in Vehicular Networks

A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale

Progressive Domain Expansion Network for Single Domain Generalization

PLATO: Policy Learning using Adaptive Trajectory Optimization

Freezing Calder\'on: Robust Preconditioning for Maxwell Scattering under Shape Uncertainty

Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

Even Faster Knapsack via Rectangular Monotone Min-Plus Convolution and Balancing

A 3D Summation-by-Parts scheme on a Hyperboloidal Foliation of Minkowski

Analysis of Respiratory Sinus Arrhythmia with Neural Networks

Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion

RGB-T Image Saliency Detection via Collaborative Graph Learning

NeoTriFuse: Reliability-Aware Multimodal Fusion under Missingness Heterogeneity for Neonatal Mortality Risk Prediction

Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States

Beyond Code Generation: Reliability, Verification, and Cost Economics in the Agentic Software Development Lifecycle

Geometry Uncertainty Projection Network for Monocular 3D Object Detection

Recurrent Pixel Embedding for Instance Grouping

AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers

Transmit MIMO Radar Beampattern Design Via Optimization on the Complex Circle Manifol

Video Inpainting by Jointly Learning Temporal Structure and Spatial Details

Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks

LEGO-Prover: Neural Theorem Proving with Growing Libraries

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation