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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47,521 to 47,580 of 61,428
Physics-Informed Foresight Pruning for Sparse PINN Solvers of Nonlinear PDEs
Ahmad Ishaque Karimi, Uvini Balasuriya Mudiyanselage, Kookjin Lee
cs.LGcs.AIarXiv:2608.25564v12026Two Dimensions Govern Agnostic Multiclass Transductive Learning
Pahan Dewasurendra
cs.LGarXiv:2608.25326v12026Active RIS Versus Passive RIS: Which Is Superior with the Same Power Budget?
Kangda Zhi, Cunhua Pan, Hong Ren +2
eess.SParXiv:2112.07510v12021Chain-of-Verification Reduces Hallucination in Large Language Models
Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu +4
cs.CLcs.AIarXiv:2309.11495v22023FinRiskAtlas: Decision-Aligned Evaluation of Large Language Models for Financial Risk Review
Suyang Zhong, Jingzhe Zhu, Qi Xu +5
cs.AIcs.CLarXiv:2608.25325v12026Understanding and Improving Layer Normalization
Jingjing Xu, Xu Sun, Zhiyuan Zhang +2
cs.LGcs.CLstat.MLarXiv:1911.07013v12019MathAdv: What Theorem Provers Know, Reason, Formalize, and Generalize
Jiaxin Yuan, Connor Martinez Lockhart, Xiaoyu Liu +11
cs.CLcs.AIcs.LOarXiv:2608.25449v120263D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
Ji Hou, Angela Dai, Matthias Nießner
cs.CVarXiv:1812.07003v32018SPECMINE: A Large-Scale Corpus of Spec-Driven Development Artifacts
Shyam Agarwal, Bogdan Vasilescu
cs.SEcs.AIarXiv:2608.25202v12026A general class of zero-or-one inflated beta regression models
Raydonal Ospina, Silvia L. P. Ferrari
stat.MEarXiv:1103.2372v32011CRESSim-Neo: A Batched GPU Simulation Engine for Surgical Robotics and Robot Learning
Yafei Ou, Ahnaf Naheen, Tleukhan Mussin +3
cs.ROarXiv:2608.25192v12026Item2Vec: Neural Item Embedding for Collaborative Filtering
Oren Barkan, Noam Koenigstein
cs.LGcs.AIcs.IRarXiv:1603.04259v32016FA*IR: A Fair Top-k Ranking Algorithm
Meike Zehlike, Francesco Bonchi, Carlos Castillo +3
cs.CYcs.IRarXiv:1706.06368v32017Why and When Neural Networks Improve Local Approximation in Optimization
Chengkuo Bian, Pengcheng Xie
cs.LGmath.OCarXiv:2608.24963v12026Implicit Q-learning-bootstrapped ant colony optimization for maritime moving-target observation scheduling with agile satellites
He Wang, Junyu Wu, Yeye Liu +5
cs.AIarXiv:2608.24471v12026Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Steve Branson, Grant Van Horn, Serge Belongie +1
cs.CVarXiv:1406.2952v12014The Systems Paper is Dead. Long Live the Systems Paper
Bjoern Hartmann
cs.HCarXiv:2608.25219v12026Evaluating and Preventing Security Smells in AI-Generated Ansible Code
Pandu Ranga Reddy Konala, Vimal Kumar, David Bainbridge +1
cs.SEcs.AIcs.CRarXiv:2608.24962v12026Unprocessing Images for Learned Raw Denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue +3
cs.CVcs.LGarXiv:1811.11127v12018Physics-Integrated Operator Learning via Gaussian Splatting Representations
Jihao Zhang, Junyi Guo, Jian-Xun Wang
cs.LGarXiv:2608.24049v12026Domain Adaptation for Visual Applications: A Comprehensive Survey
Gabriela Csurka
cs.CVarXiv:1702.05374v22017DayDreamer: World Models for Physical Robot Learning
Philipp Wu, Alejandro Escontrela, Danijar Hafner +2
cs.ROcs.AIcs.LGarXiv:2206.14176v12022Threats to Federated Learning: A Survey
Lingjuan Lyu, Han Yu, Qiang Yang
cs.CRcs.LGstat.MLarXiv:2003.02133v12020Score-Based Ideal Observer Approximation via Denoising Score Matching for Signal-Known-Exactly Detection Tasks
Weimin Zhou
eess.IVcs.AIcs.CVarXiv:2608.24768v12026Here is a GIFT: Enforcing User Data Isolation in LLM Serving via GPU Information Flow Tracking
Jiacheng Shi, Xunjie Wang, Cheng Tan +1
cs.CRarXiv:2608.25431v12026Asymmetric Cross-Modal Fine-Grained Visual Categorization: ACF-Net and the BirdPro Benchmark
Bohan Deng, Shuo Ye, Zitong Yu
cs.CVarXiv:2608.25520v12026Optimal approximation of piecewise smooth functions using deep ReLU neural networks
Philipp Petersen, Felix Voigtlaender
math.FAcs.LGstat.MLarXiv:1709.05289v42017Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein, Maksym Andriushchenko
cs.LGcs.AIcs.CVarXiv:1705.08475v22017The Changing Geometry of Grammar: Dimensionality and Neighborhood Reorganization across Transformer Layers
Samuele Vallisa, Federico Ravenda, Claudio Palominos +5
cs.CLarXiv:2608.25166v12026SNIPER: Efficient Multi-Scale Training
Bharat Singh, Mahyar Najibi, Larry S. Davis
cs.CVarXiv:1805.09300v32018Summaries:한국어NVExplain: Explaining Time Series Forecasting with Latent Trajectory Analysis and Structure-Preserving Surrogates
Muyan Anna Li, Manikandan Ravikiran, Aditi Gautam
cs.LGcs.AIstat.MLarXiv:2608.25080v12026Belief Cascades Drive Persuasion in LLM Agent Networks
Haoyi Qiu, Genglin Liu, Pranav Narayanan Venkit +4
cs.CLcs.AIarXiv:2608.25152v12026"Am I Just That Dumb?": Applicability, Action and Verification in Consumer IoT Security Advice
Veerle van Harten, Carlos Hernández Gañán, Michel van Eeten +1
cs.HCarXiv:2608.25225v12026On-line Building Energy Optimization using Deep Reinforcement Learning
Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen +4
cs.LGcs.AImath.OCarXiv:1707.05878v12017BOP: Benchmark for 6D Object Pose Estimation
Tomas Hodan, Frank Michel, Eric Brachmann +13
cs.CVcs.AIcs.ROarXiv:1808.08319v12018ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
Junichi Yamagishi, Xin Wang, Massimiliano Todisco +8
eess.AScs.CRcs.LGarXiv:2109.00537v12021MC-CXR: A Multi-Context Chest X-ray Benchmark for Context-Induced Disruption in Vision-Language Models
Junhyeok Lee, Songsoo Kim, Kyu Sung Choi
cs.CLarXiv:2608.24118v12026Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Markus Freitag, George Foster, David Grangier +3
cs.CLcs.AIcs.LGarXiv:2104.14478v12021Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl
stat.MLcs.LGarXiv:2010.09337v12020Self-Explanation Tutor for Active Study of CS1 Worked Examples
Arun-Balajiee Lekshmi-Narayanan, Mohammad Hassany, Kamil Akhuseyinoglu +2
cs.CYcs.AIcs.HCarXiv:2608.25180v12026ARISMA: Guidelines for AI- and LLM-Assisted Systematic Reviews, Scoping Reviews, and Mapping Studies
Mahyar Tourchi Moghaddam, Mina Alipour
cs.SEcs.AIarXiv:2608.25050v12026LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale
Francesco Mantegna, Dulhan Jayalath, Gereon Elvers +12
cs.LGcs.CLarXiv:2608.25204v12026Synergising Local Geo-Environmental Characteristics with Spatial Context for Enhancing Landslide Susceptibility Mapping
Yusen Cheng, Lei Fan, Qinfeng Zhu +3
cs.CVarXiv:2608.24956v12026Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti, Michael M. Bronstein, Xavier Bresson
cs.LGcs.IRmath.NAarXiv:1704.06803v12017Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning
Zuobin Xiong, Deval Mukherjee, Homook Cho +1
cs.LGcs.CRarXiv:2608.25133v12026Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
Ruihan Liu, Yu Ji, Jianbo Yu +2
cs.LGcs.AIarXiv:2608.24386v12026Ergodic theory, Dynamic Mode Decomposition and Computation of Spectral Properties of the Koopman operator
Hassan Arbabi, Igor Mezić
math.DSarXiv:1611.06664v62016SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning
Hao Wu, Kin Whye Chew, Yizhan Han +2
cs.DCcs.LGarXiv:2608.24516v12026InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Yi Wang, Kunchang Li, Yizhuo Li +14
cs.CVarXiv:2212.03191v22022CosyPose: Consistent multi-view multi-object 6D pose estimation
Yann Labbé, Justin Carpentier, Mathieu Aubry +1
cs.CVarXiv:2008.08465v12020Quantum machine learning: a classical perspective
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo +4
quant-phcs.LGstat.MLarXiv:1707.08561v32017Longitudinal Robot Learning from Demonstration with Care Providers in a Home Environment
Nina Moorman, Julianna Schalkwyk, Vriksha Srihari +6
cs.ROcs.HCarXiv:2608.25196v12026LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Guowei Xu, Peng Jin, Ziang Wu +4
cs.CVarXiv:2411.10440v62024Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning
Madelaine Martinez-Ferguson, Chun Wang, Mustafa Can Camur +1
cs.ETcs.LGarXiv:2608.25193v12026Apples to Apples? Towards Comparable Crosslingual Language Model Evaluation
Xiulin Yang, Ethan Gotlieb Wilcox, Catherine Arnett
cs.CLarXiv:2608.25089v12026Tensor2Tensor for Neural Machine Translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo +10
cs.LGcs.CLstat.MLarXiv:1803.07416v12018Scene Graph Generation from Objects, Phrases and Region Captions
Yikang Li, Wanli Ouyang, Bolei Zhou +2
cs.CVarXiv:1707.09700v22017Transforms for LLM Quantization: The Great Inversion and Format Co-Design
Ehsan Jokar
cs.LGcs.ITarXiv:2608.25188v12026Simultaneous inference of environmental and interaction forces in collective dynamics
Nipuni de Silva, Ming Zhong, James M. Greene
cs.LGmath.DSarXiv:2608.25181v12026Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou +1
cs.LGcs.SIstat.MLarXiv:2006.09252v32020