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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3,601 to 3,660 of 115,921

Energy-Aware Performance Characterization of Kokkos Kernels Across Precision Levels
Maria Patrou, Andrey Prokopenko, Aditya Kashi +2
cs.PFarXiv:2610.31917v12026
RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map
Xuecheng Xu, Sha Lu, Jun Wu +5
cs.ROcs.CVarXiv:2210.05984v12022
Comparing a gradient boosting algorithm to the GOES FDC for wildfire detection
Asaf Vanunu, Boaz Nadler, Arnon Karnieli
cs.CVcs.LGarXiv:2610.01994v12026
NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
Junyuan Deng, Xieyuanli Chen, Songpengcheng Xia +4
cs.CVarXiv:2303.10709v12023
T2D: Target-to-Draft Model Pruning & Adaptation for Efficient Speculative Decoding
Shahriar Kabir Nahin, Xiao Ye, Muhao Chen +2
cs.CLcs.AIcs.LGarXiv:2610.34103v12026
Can LLMs Trust Appropriately? Evaluating Calibrated Reliance on Imperfect Partners
Mengdi Chu, Jintao Huang
cs.AIcs.CLcs.HCarXiv:2610.34107v12026
A graph decomposition approach for the synthesis of EMPs in directed acyclic networks
Eduardo Mapurunga, Michel Gevers, Alexandre Bazanella
eess.SYcs.SYarXiv:2610.31815v12026
Zero Flux: Flow-Based Comparison of High-Dimensional Discrete Distributions
Leyang Wang, Yakun Wang, Song Liu +1
stat.MLcs.LGarXiv:2610.01472v12026
EVC: Towards Real-Time Neural Image Compression with Mask Decay
Guo-Hua Wang, Jiahao Li, Bin Li +1
eess.IVcs.CVcs.MMarXiv:2302.05071v12023
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
Jinglong Wang, Xiawei Li, Jing Zhang +5
cs.CVarXiv:2309.02773v32023
EyeTAG: Eye Trajectory-Aware Gaze Estimation
Jungmin Lee, Niamat Ullah, Yoseob Han
cs.CVcs.LGarXiv:2610.00922v12026
Optimal quantum source coding with quantum information at the encoder and decoder
Jon Yard, Igor Devetak
quant-pharXiv:0706.2907v22007
Pointwise Partial Information Decomposition using the Specificity and Ambiguity Lattices
Conor Finn, Joseph T Lizier
cs.ITmath.ITnlin.AOarXiv:1801.09010v32018
Bandits with Switching Costs: T^{2/3} Regret
Ofer Dekel, Jian Ding, Tomer Koren +1
cs.LGmath.PRarXiv:1310.2997v22013
Distributed Swarm Morphogenesis with Neural Cellular Automata
Ray Verma, Eliseo Ferrante, Anthony Tzes
cs.ROcs.MAarXiv:2610.31900v22026
The Locality Trade-off in Masked Patch Self-Distillation
Xi Weng, Zhaoyu Liu, Lianyu Hu +1
cs.CVarXiv:2610.33223v12026
Sensitivity-Guided Parameter Estimation of Bubbly Liquid via a Nonlinear Wave Equation and Physics-InformedNeuralNetworks
Takeru Hasegawa, Naoto Mitsume, Shota Deguchi +2
physics.flu-dyncs.NAmath.NAarXiv:2610.32668v12026
When Do Intrinsic Rewards Lead to Exploration?
Scott W. Viteri, Laura Gomezjurado Gonzalez, Clark Barrett
cs.LGarXiv:2610.02159v12026
Effective Resistance and Graph Neural Network Reliability in Tissue-Specific Interactomes
Jianru Shen
cs.LGq-bio.MNarXiv:2610.02175v12026
A-NICE-MC: Adversarial Training for MCMC
Jiaming Song, Shengjia Zhao, Stefano Ermon
stat.MLcs.AIcs.LGarXiv:1706.07561v32017
Deterministic Root-Finding over Finite Fields with Elliptic Curves
Pierre-Jean Spaenlehauer
cs.SCcs.CCmath.NTarXiv:2610.32508v12026
Learn the Directions, Normalize the Gains: Post-Training Normalization for LoRA
Zailong Tian, Yanzhe Chen, Zhuoheng Han +2
cs.LGarXiv:2610.02067v12026
Voice Pathology Detection Using Deep Learning: a Preliminary Study
Pavol Harar, Jesus B. Alonso-Hernandez, Jiri Mekyska +3
eess.AScs.LGcs.SDarXiv:1907.05905v12019
Distortion-Rate Outage Probability for Non-ergodic Classes of Sources
Dongmin Park, Ibrahim Abou-Faycal, Razane Tajeddine
cs.ITmath.ITarXiv:2610.32549v12026
Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits
Nam Nguyen, Tuan Quang Dam
cs.LGstat.MLarXiv:2610.01951v12026
FoodNet: Recognizing Foods Using Ensemble of Deep Networks
Paritosh Pandey, Akella Deepthi, Bappaditya Mandal +1
cs.CVarXiv:1709.09429v12017
MECHVAR: Variance-Guided Mechanism Discrimination for Autonomous Machine Learning Experiment Selection
Yifan Guo
cs.LGarXiv:2610.01819v12026
Forcing Diffuse Distributions out of Language Models
Yiming Zhang, Avi Schwarzschild, Nicholas Carlini +2
cs.CLcs.LGarXiv:2404.10859v22024
On the Limits of Stochastic Push-Pull over Time-Varying Digraphs
Feiming Wang, Yutong He, Sulaiman Alghunaim +1
math.OCcs.LGarXiv:2610.32422v12026
Political sense-making in "individual" human-technology-world relations: the case of LLM-generated autobiographies
Anthony Longo, Olya Kudina
cs.HCarXiv:2610.32594v12026
Fast and Useful: Adapting Distilled Generators for Visual Learning
Patryk Bartkowiak, Dominik Michels, Sören Pirk +1
cs.CVarXiv:2610.32512v22026
Evidence-Gated Research: Statistically Controlled Model Adoption in Adaptive Search
Yifan Guo
cs.LGarXiv:2610.01751v12026
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery
Tao Sun, Zonglin Di, Pengyu Che +2
cs.CVarXiv:1905.01447v12019
Function-Structured Reinforcement Learning with Executable Verifiers for Mathematical Reasoning
Zihan Liu, Xurong Xie
cs.LGarXiv:2610.01729v12026
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
Jun Zhang
cs.CVarXiv:1809.03443v12018
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
Hae Beom Lee, Hayeon Lee, Donghyun Na +4
cs.LGstat.MLarXiv:1905.12917v32019
Range-GRPO: Policy Optimization via Pairwise Relations among Reward Intervals
Ryunyi Lee, Kangjun Noh, Somin Kim +2
cs.LGarXiv:2610.01548v22026
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang, Zaynah Javed, Xian Wu +3
cs.CRcs.LGarXiv:2105.00579v32021
Label-Budgeted Attribute Inference from Protected Features in Edge-Cloud Split Multimodal LLMs
Junguang Yao, Peichun Hua, Hanxiu Zhang +1
cs.CRarXiv:2610.32079v12026
Artifact Annotations Partially Substitute for Per-User Calibration: SAFE-EDA and a Normalization-Controlled Evaluation of Wrist-EDA Affect Recognition
Haochen Chai, Xinbi Luo, Zining Liu +1
cs.LGeess.SParXiv:2610.01692v12026
Calibrating Prediction Timeliness Through Multi-Objective Hyperparameter Optimization for Remaining Useful Life Prediction
Tugrul Cabir Hakyemez, Ener Uras Gokhan
cs.LGarXiv:2610.01530v12026
Neural Disjunctive Normal Forms for Learning Exact Rank Filters
Diego Marcondes, Wonder A. L. Alves, Ronaldo F. Hashimoto
cs.CVcs.LGarXiv:2610.32203v12026
Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou, Hugo Larochelle, Richard Zemel +1
cs.LGcs.CVarXiv:2105.07029v22021
A curated multi-endpoint drug-protein bioactivity dataset with construct-aware protein targets
Lina Abou-Abbas, Nour Mhanna, Hasan Bazzi +4
cs.LGarXiv:2610.32490v12026
A Semismooth Newton Method for Tikhonov Functionals with Sparsity Constraints
Roland Griesse, Dirk A. Lorenz
math.OCcs.NAmath.NAarXiv:0709.3186v32007
Beyond Channel Data: Configuration-Enriched Radio Foundation Models
Shrihari Vasudevan, H. G. Ranjani, Raaghul Ranganathan +2
cs.AIeess.SParXiv:2610.32542v12026
Concept Acupuncturist: An Efficient and Precise Concept Erasure Method for Diffusion Models via Sparse Autoencoders
Yiran Xiahou, Siliang Qin, Kai Chen +2
cs.CVcs.AIcs.CRarXiv:2610.32059v12026
Minimax Optimal Regret for Causal Logistic Bandits with Counterfactual Fairness
Junhyuk Huh, Seoungbin Bae, Dabeen Lee
cs.LGarXiv:2610.01377v12026
Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
Parthiv Chatterjee, Kashish Kanjaria, Vashisth Purani +2
cs.LGarXiv:2610.01375v12026
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers
Jingfeng Yao, Xinggang Wang, Shusheng Yang +1
cs.CVarXiv:2305.15272v22023
When Agents Fail: Model or Harness--Who's to Blame?
Shao Zhang, Hangfan Zhang, Yuanyuan Shi +9
cs.AIcs.CLcs.SEarXiv:2610.32483v12026
Why Does Train-Validation Separation Emerge? Update-Pressure Density Dynamics in Pretrained Backbones
Yuchen Li, Mingyu Du, Zongqi Fan +2
cs.LGarXiv:2610.01425v12026
DB-BERT: a Database Tuning Tool that "Reads the Manual"
Immanuel Trummer
cs.DBcs.AIcs.CLarXiv:2112.10925v12021
From Redundancy to Minimality: Fixed-Point-Guided Hierarchical Reduction of Learned Piecewise-Linear Dynamics
Hiroto Tamura, Gouhei Tanaka
cs.LGnlin.CDarXiv:2610.01369v12026
GET: Group Event Transformer for Event-Based Vision
Yansong Peng, Yueyi Zhang, Zhiwei Xiong +2
cs.CVcs.AIarXiv:2310.02642v12023
PEAR: Adaptive Advantage Reshaping for Perception and Exploration in Large Vision-Language Models
Junxin Wang, Yingfeng Luo, Xiangchen Song +12
cs.AIarXiv:2610.32216v12026
Clifford Sheaf Neural Networks
Kotaro Kamiya, Joel Nicholls
cs.LGstat.MLarXiv:2610.01322v12026
Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization
Cong D. Dang, Guanghui Lan
math.OCarXiv:1309.2249v12013
Mining the Design Space of Multi-Agent Workflows
Xavier Cadet, Junyan Cheng, Peter Chin +1
cs.SEcs.AIarXiv:2610.31709v12026
IQS-BO: In-Context Query Selection for Bayesian Optimisation
Luca Geminiani, Nadja Klein
cs.LGstat.MLarXiv:2610.01269v12026

Every paper with a summary

Energy-Aware Performance Characterization of Kokkos Kernels Across Precision Levels

RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map

Comparing a gradient boosting algorithm to the GOES FDC for wildfire detection

NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping

T2D: Target-to-Draft Model Pruning & Adaptation for Efficient Speculative Decoding

Can LLMs Trust Appropriately? Evaluating Calibrated Reliance on Imperfect Partners

A graph decomposition approach for the synthesis of EMPs in directed acyclic networks

Zero Flux: Flow-Based Comparison of High-Dimensional Discrete Distributions

EVC: Towards Real-Time Neural Image Compression with Mask Decay

Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

EyeTAG: Eye Trajectory-Aware Gaze Estimation

Optimal quantum source coding with quantum information at the encoder and decoder

Pointwise Partial Information Decomposition using the Specificity and Ambiguity Lattices

Bandits with Switching Costs: T^{2/3} Regret

Distributed Swarm Morphogenesis with Neural Cellular Automata

The Locality Trade-off in Masked Patch Self-Distillation

Sensitivity-Guided Parameter Estimation of Bubbly Liquid via a Nonlinear Wave Equation and Physics-InformedNeuralNetworks

When Do Intrinsic Rewards Lead to Exploration?

Effective Resistance and Graph Neural Network Reliability in Tissue-Specific Interactomes

A-NICE-MC: Adversarial Training for MCMC

Deterministic Root-Finding over Finite Fields with Elliptic Curves

Learn the Directions, Normalize the Gains: Post-Training Normalization for LoRA

Voice Pathology Detection Using Deep Learning: a Preliminary Study

Distortion-Rate Outage Probability for Non-ergodic Classes of Sources

Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits

FoodNet: Recognizing Foods Using Ensemble of Deep Networks

MECHVAR: Variance-Guided Mechanism Discrimination for Autonomous Machine Learning Experiment Selection

Forcing Diffuse Distributions out of Language Models

On the Limits of Stochastic Push-Pull over Time-Varying Digraphs

Political sense-making in "individual" human-technology-world relations: the case of LLM-generated autobiographies

Fast and Useful: Adapting Distilled Generators for Visual Learning

Evidence-Gated Research: Statistically Controlled Model Adoption in Adaptive Search

Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery

Function-Structured Reinforcement Learning with Executable Verifiers for Mathematical Reasoning

Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks

Range-GRPO: Policy Optimization via Pairwise Relations among Reward Intervals

BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning

Label-Budgeted Attribute Inference from Protected Features in Edge-Cloud Split Multimodal LLMs

Artifact Annotations Partially Substitute for Per-User Calibration: SAFE-EDA and a Normalization-Controlled Evaluation of Wrist-EDA Affect Recognition

Calibrating Prediction Timeliness Through Multi-Objective Hyperparameter Optimization for Remaining Useful Life Prediction

Neural Disjunctive Normal Forms for Learning Exact Rank Filters

Learning a Universal Template for Few-shot Dataset Generalization

A curated multi-endpoint drug-protein bioactivity dataset with construct-aware protein targets

A Semismooth Newton Method for Tikhonov Functionals with Sparsity Constraints

Beyond Channel Data: Configuration-Enriched Radio Foundation Models

Concept Acupuncturist: An Efficient and Precise Concept Erasure Method for Diffusion Models via Sparse Autoencoders

Minimax Optimal Regret for Causal Logistic Bandits with Counterfactual Fairness

Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization

ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers

When Agents Fail: Model or Harness--Who's to Blame?

Why Does Train-Validation Separation Emerge? Update-Pressure Density Dynamics in Pretrained Backbones

DB-BERT: a Database Tuning Tool that "Reads the Manual"

From Redundancy to Minimality: Fixed-Point-Guided Hierarchical Reduction of Learned Piecewise-Linear Dynamics

GET: Group Event Transformer for Event-Based Vision

PEAR: Adaptive Advantage Reshaping for Perception and Exploration in Large Vision-Language Models

Clifford Sheaf Neural Networks

Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization

Mining the Design Space of Multi-Agent Workflows

IQS-BO: In-Context Query Selection for Bayesian Optimisation