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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18,601 to 18,660 of 119,904

3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
Alexander Grabner, Peter M. Roth, Vincent Lepetit
cs.CVcs.AIarXiv:1803.11493v12018
Composable Decoding on the Probability Simplex: Theory and Implementation
Xiaotong Ji, Ahmed Khaled Khamis, Rasul Tutunov +2
cs.LGcs.AIarXiv:2609.34992v12026
Universal Local Error and Realized Amplification for the First-Order EDM Predictor
Nicolas Brosse, Arnak S. Dalalyan
stat.MLcs.LGarXiv:2610.10190v12026
MineCEraft: Evaluating Language Models as Construction Engineers in the World of Minecraft
Sewoong Lee, Risham Sidhu, Julia Hockenmaier +1
cs.AIarXiv:2608.28884v12026
Dimension-free regimes for unadjusted Langevin in ridge-separable models: A subspace robust Wasserstein analysis
Yuansi Chen, Francesco Pedrotti, Peter A. Whalley
stat.MLcs.LGmath.PRarXiv:2610.31431v12026
Dynamic probabilistic decision networks
V. I. Yukalov, E. P. Yukalova
physics.soc-phcs.SIarXiv:2609.03632v12026
Tight Stochastic Condition-Number Dependence in Nonconvex-Strongly-Concave Minimax Optimization
Qihao Zhou
math.OCcs.LGarXiv:2609.30877v12026
Carr\'e du champ flow matching: better quality-generalisation tradeoff in generative models
Jacob Bamberger, Iolo Jones, Dennis Duncan +3
cs.LGcs.AImath.DGarXiv:2510.05930v22025
CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at Scale
Jonathan Hyun, Nicholas R Waytowich, Boyuan Chen
cs.MAcs.AIarXiv:2507.05178v22025
Muon with Finite Newton-Schulz: The Smoothing Benefit in Nonsmooth Nonconvex Optimization
Mingyi Li, Taira Tsuchiya
cs.LGmath.OCstat.MLarXiv:2608.26288v12026
The Modern Mathematics of Deep Learning
Julius Berner, Philipp Grohs, Gitta Kutyniok +1
cs.LGstat.MLarXiv:2105.04026v22021
HRoPE: Homography Relative Positional Encoding
Huachen Gao, Yang Yang, Xiaoqian Liang +6
cs.CVarXiv:2610.28284v12026
Speculative Evaluation of Stochastic LLMs
Qianli Shen, Xiang Li, Ruomeng Ding +3
stat.MLcs.AIcs.LGarXiv:2609.28560v12026
Riemannian Flow Matching Policy for Robot Motion Learning
Max Braun, Noémie Jaquier, Leonel Rozo +1
cs.ROcs.LGarXiv:2403.10672v22024
Fast computation and convergence analysis of the infinite-product representation of the Schottky--Klein prime function
Shuntaro Yamamoto, Hiroyuki Miyoshi
math.NAarXiv:2609.00785v12026
Truly Subquadratic 3SUM and Truly Subcubic APSP via Triangles in Sparse Lopsided Graphs
Josh Alman, Virginia Vassilevska Williams
cs.DScs.CCarXiv:2610.06783v12026
Can Deep Learning Achieve Cross-Physics Mapping?
Pengfei Zhu, Julien Lecompagnon, Mathias Ziegler
cs.LGphysics.app-pharXiv:2609.16853v12026
Tight Majorizations and Convergence Rates of Nuclear Norm Minimization IRLS
Christian Kümmerle, Tomas Masak, Dominik Stöger
cs.LGmath.NAmath.OCarXiv:2608.23765v12026
A nonstandard fractional Jacobi pseudospectral method for weakly regular right-sided Caputo terminal problems
Ibrahem G. Ameen, Magda Hammad, Mohsen Razzaghi +1
math.NAcs.NAarXiv:2610.20829v12026
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak, Tamaz Amiranashvili, Antonio Terpin +5
cs.LGcs.AIstat.MLarXiv:2504.10612v52025
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
Junho Song, Keonwoo Kim, Jeonglyul Oh +1
cs.LGcs.AIarXiv:2312.02530v12023
Linear Coding of LTI Sources Over Vector Gaussian Channels: A Majorization Approach
Shihao Jin, Junhui Li, Shinji Hara +1
cs.ITeess.SYmath.OCarXiv:2608.29511v12026
FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset
Zhaxizhuoma, Kehui Liu, Chuyue Guan +15
cs.ROarXiv:2409.19499v22024
A Hardware-Native Trapped-Ion Hybrid Qudit-Oscillator Instruction Set
Masoud Hakimi Heris, Yuan Liu, Frank Mueller
quant-phcs.ARcs.ETarXiv:2610.13843v12026
Testing contextuality on quantum ensembles with one clean qubit
O. Moussa, C. A. Ryan, D. G. Cory +1
quant-pharXiv:0912.0485v12009
DiffLTM: Continuous Diffusions Large Tabular Models for Conditional Generation
Alankrita Bhatt, Mukur Gupta, Andrea Montanari +1
cs.LGarXiv:2610.30472v12026
Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature
Zihan Zhu, Zhehang Du, Xuyang Chen +5
cs.LGmath.OCstat.MLarXiv:2609.12123v12026
Pullback Flow Matching on Data Manifolds
Friso de Kruiff, Erik Bekkers, Ozan Öktem +2
cs.LGcs.AImath.DGarXiv:2410.04543v22024
Fast and Robust Visuomotor Riemannian Flow Matching Policy
Haoran Ding, Noémie Jaquier, Jan Peters +1
cs.ROcs.LGarXiv:2412.10855v32024
Curvature-Conditioned Multiscale Momentum with Sphere Constraints for LLM Pretraining
Shuchen Zhu, Yuxin Fang, Mingze Wang +1
cs.LGarXiv:2608.28442v12026
Tactile Perception through Fluid-Solid Interaction
Arman Goshtasbi, Minke Berghuis, Aida Parvaresh +3
cond-mat.softcs.ROarXiv:2610.03773v12026
A Dynamic Likelihood Approach to Filtering for Advection-Diffusion Dynamics
Johannes Krotz, Juan M. Restrepo, Jorge Ramirez
math.DScs.LGmath.STarXiv:2406.06837v22024
The canonical facets of multi-separator polytopes
Bjoern Andres, Silvia Di Gregorio, Jannik Irmai +2
cs.DMcs.LGmath.COarXiv:2608.16861v12026
Amortised Inference through One-Step Implicit Sampling
Vincent Pauline, Kirill Tamogashev, Arran Carter +3
cs.LGstat.MLarXiv:2610.12679v12026
Twice Upon a Time: Complementary Representations for Time-Series Reasoning
Hedi Zisling, Liran Nochumsohn, Ilan Naiman +2
cs.LGcs.AIcs.CLarXiv:2610.22327v12026
$k$-arrangements of pseudolines and pseudocircles
Jan Kynčl, Carolina Medina, Gelasio Salazar
math.COcs.CGarXiv:2610.00773v12026
Many-Body Localization in the Age of Classical Computing
Piotr Sierant, Maciej Lewenstein, Antonello Scardicchio +2
cond-mat.dis-nncond-mat.quant-gascond-mat.stat-mecharXiv:2403.07111v32024
You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference
Liang He, Jingbo Wen, Yixiong Chen +4
cs.AIarXiv:2609.37902v12026
Undirected Network Coding and Faster External-Memory Integer Sorting
Baochun Li, Zongpeng Li, Sirui Liu
cs.DScs.CCcs.ITarXiv:2610.20079v12026
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Lazar Atanackovic, Xi Zhang, Brandon Amos +5
cs.LGstat.MLarXiv:2408.14608v22024
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching
Eugenio Chisari, Nick Heppert, Max Argus +3
cs.ROarXiv:2409.07343v12024
Distribution-aware Language Neuron Identification in Multilingual Large Language Models
Minjun Kim, Inho Won, Junghun Yuk +3
cs.CLarXiv:2609.10993v12026
Breaking the Curse of Dimensionality in Quantum PDE Solvers via Gevrey Regularity
Pooya Ronagh, Mariia Sobchuk, Xiaoran Li +2
quant-pharXiv:2608.07893v32026
Regularized Small Area Estimation with Graph Laplacian Benchmarking priors
Jairo Fúquene-Patiño, Brenda Betancourt
stat.MEstat.COstat.MLarXiv:2610.11266v12026
On the Positivity of a Class of Cauchy-Like Matrices
Augusto Ferrante
math.RAarXiv:2606.11100v12026
Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
Alireza Abdollahpoorrostam, Ehsan Sharifian, Buse Şen +2
cs.LGmath.OCstat.MLarXiv:2609.31363v12026
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
Hyunwoo Ryu, Jiwoo Kim, Hyunseok An +7
cs.ROcs.AIcs.LGarXiv:2309.02685v32023
Diffraction of waves by finite thin coatings: asymptotic expansion and effective models
Cédric Baudet
math.APcs.NAmath.NAarXiv:2610.13680v12026
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
Jean-Baptiste Bouvier, Kanghyun Ryu, Kartik Nagpal +3
cs.ROcs.SYeess.SYarXiv:2502.15043v22025
Comparing Linear Probes with Mahalanobis Cosine Similarity
Zhuofan Josh Ying, Peter Hase, Nikolaus Kriegeskorte
cs.LGarXiv:2606.19603v12026
Provable Non-Acceleration of Standard Strang Splittings of Kinetic Langevin Dynamics
Nawaf Bou-Rabee
math.PRmath.NAstat.COarXiv:2608.25279v12026
Training-Free Task Vectors for LLM Behavioral Control
Gabriel J. Perin, Lucas Boscaini, André Araujo +1
cs.LGcs.AIarXiv:2609.09054v12026
When Forgetting is not Catastrophic: On the Mechanics of Spurious Forgetting
Vedant Palit, Florent Draye, Nicolas Zucchet +2
cs.CLcs.LGarXiv:2610.08718v12026
Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control
Abhinav Narasingam, Joseph Sang-Il Kwon
eess.SYcs.SYarXiv:2005.09741v22020
Data-Driven Model Predictive Control using Interpolated Koopman Generators
Sebastian Peitz, Samuel E. Otto, Clarence W. Rowley
math.OCmath.DSarXiv:2003.07094v12020
Much Ado About Noising: Dispelling the Myths of Generative Robotic Control
Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang +8
cs.ROcs.LGarXiv:2512.01809v32025
Koopman based data-driven predictive control
Yingzhao Lian, Renzi Wang, Colin N. Jones
eess.SYcs.SYmath.OCarXiv:2102.05122v22021
Width-Independent Compressibility of Deep Neural Networks
Hong-Yi Wang, Mingze Wang, Liu Ziyin
cs.LGcond-mat.dis-nncs.ITarXiv:2608.21752v12026
Novel 3D Geometry-Based Stochastic Models for Non-Isotropic MIMO Vehicle-to-Vehicle Channels
Yi Yuan, Cheng-Xiang Wang, Xiang Cheng +2
eess.SParXiv:2312.00550v12023
On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing
Yuval Koren, Assaf Ben-Kish, Raja Giryes +2
cs.LGcs.CLarXiv:2609.07681v12026

Every paper with a summary

3D Pose Estimation and 3D Model Retrieval for Objects in the Wild

Composable Decoding on the Probability Simplex: Theory and Implementation

Universal Local Error and Realized Amplification for the First-Order EDM Predictor

MineCEraft: Evaluating Language Models as Construction Engineers in the World of Minecraft

Dimension-free regimes for unadjusted Langevin in ridge-separable models: A subspace robust Wasserstein analysis

Dynamic probabilistic decision networks

Tight Stochastic Condition-Number Dependence in Nonconvex-Strongly-Concave Minimax Optimization

Carr\'e du champ flow matching: better quality-generalisation tradeoff in generative models

CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at Scale

Muon with Finite Newton-Schulz: The Smoothing Benefit in Nonsmooth Nonconvex Optimization

The Modern Mathematics of Deep Learning

HRoPE: Homography Relative Positional Encoding

Speculative Evaluation of Stochastic LLMs

Riemannian Flow Matching Policy for Robot Motion Learning

Fast computation and convergence analysis of the infinite-product representation of the Schottky--Klein prime function

Truly Subquadratic 3SUM and Truly Subcubic APSP via Triangles in Sparse Lopsided Graphs

Can Deep Learning Achieve Cross-Physics Mapping?

Tight Majorizations and Convergence Rates of Nuclear Norm Minimization IRLS

A nonstandard fractional Jacobi pseudospectral method for weakly regular right-sided Caputo terminal problems

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling

MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection

Linear Coding of LTI Sources Over Vector Gaussian Channels: A Majorization Approach

FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset

A Hardware-Native Trapped-Ion Hybrid Qudit-Oscillator Instruction Set

Testing contextuality on quantum ensembles with one clean qubit

DiffLTM: Continuous Diffusions Large Tabular Models for Conditional Generation

Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature

Pullback Flow Matching on Data Manifolds

Fast and Robust Visuomotor Riemannian Flow Matching Policy

Curvature-Conditioned Multiscale Momentum with Sphere Constraints for LLM Pretraining

Tactile Perception through Fluid-Solid Interaction

A Dynamic Likelihood Approach to Filtering for Advection-Diffusion Dynamics

The canonical facets of multi-separator polytopes

Amortised Inference through One-Step Implicit Sampling

Twice Upon a Time: Complementary Representations for Time-Series Reasoning

$k$-arrangements of pseudolines and pseudocircles

Many-Body Localization in the Age of Classical Computing

You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference

Undirected Network Coding and Faster External-Memory Integer Sorting

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching

Distribution-aware Language Neuron Identification in Multilingual Large Language Models

Breaking the Curse of Dimensionality in Quantum PDE Solvers via Gevrey Regularity

Regularized Small Area Estimation with Graph Laplacian Benchmarking priors

On the Positivity of a Class of Cauchy-Like Matrices

Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning

Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation

Diffraction of waves by finite thin coatings: asymptotic expansion and effective models

DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories

Comparing Linear Probes with Mahalanobis Cosine Similarity

Provable Non-Acceleration of Standard Strang Splittings of Kinetic Langevin Dynamics

Training-Free Task Vectors for LLM Behavioral Control

When Forgetting is not Catastrophic: On the Mechanics of Spurious Forgetting

Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control

Data-Driven Model Predictive Control using Interpolated Koopman Generators

Much Ado About Noising: Dispelling the Myths of Generative Robotic Control

Koopman based data-driven predictive control

Width-Independent Compressibility of Deep Neural Networks

Novel 3D Geometry-Based Stochastic Models for Non-Isotropic MIMO Vehicle-to-Vehicle Channels

On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing