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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15,061 to 15,120 of 116,123

Measuring In-Context Computation Complexity via Hidden State Prediction
Vincent Herrmann, Róbert Csordás, Jürgen Schmidhuber
cs.LGarXiv:2503.13431v12025
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks
R. Thomas McCoy, Robert Frank, Tal Linzen
cs.CLarXiv:2001.03632v12020
Are NLP Models really able to Solve Simple Math Word Problems?
Arkil Patel, Satwik Bhattamishra, Navin Goyal
cs.CLarXiv:2103.07191v22021
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
Anastasia Koloskova, Tao Lin, Sebastian U. Stich
cs.DCcs.LGmath.OCarXiv:2202.03836v12022
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Bailin Li, Bowen Wu, Jiang Su +2
cs.CVarXiv:2007.02491v22020
Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces
Xianghao Yu, Dongfang Xu, Ying Sun +2
cs.ITeess.SParXiv:1912.01497v32019
Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning
Jai Bardhan, Patrik Drozdik, Josef Sivic +1
cs.ROcs.CVarXiv:2603.25685v22026
Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang, Liliang Zhang, Liang Lin +2
cs.CVarXiv:1502.00743v12015
User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things
Zhaoji Zhang, Ying Li, Chongwen Huang +4
cs.ITeess.SPmath.ITarXiv:2005.09826v12020
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning
Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi +1
cs.LGcs.DCstat.MLarXiv:2102.04487v12021
Functionality understanding and segmentation in 3D scenes
Jaime Corsetti, Francesco Giuliari, Alice Fasoli +2
cs.CVarXiv:2411.16310v52024
Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing
Tong Bai, Cunhua Pan, Yansha Deng +3
eess.SParXiv:1910.07990v32019
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Riccardo Grazzi, Julien Siems, Arber Zela +3
cs.LGcs.CLcs.FLarXiv:2411.12537v52024
Quantum Internet- Applications, Functionalities, Enabling Technologies, Challenges, and Research Directions
Amoldeep Singh, Kapal Dev, Harun Siljak +2
quant-phcs.CRcs.NIarXiv:2101.04427v22021
The Overlap Gap Property: a Geometric Barrier to Optimizing over Random Structures
David Gamarnik
cs.CCmath.PRarXiv:2109.14409v12021
Noise Resilience of Variational Quantum Compiling
Kunal Sharma, Sumeet Khatri, M. Cerezo +1
quant-pharXiv:1908.04416v22019
Learning Dynamics of LLM Finetuning
Yi Ren, Danica J. Sutherland
cs.LGcs.AIcs.CLarXiv:2407.10490v42024
Explaining Knowledge Distillation by Quantifying the Knowledge
Xu Cheng, Zhefan Rao, Yilan Chen +1
cs.LGcs.CVstat.MLarXiv:2003.03622v12020
Fault-tolerant operation of a logical qubit in a diamond quantum processor
M. H. Abobeih, Y. Wang, J. Randall +6
quant-phcond-mat.mes-hallarXiv:2108.01646v12021
Stochastic optimization with decision-dependent distributions
Dmitriy Drusvyatskiy, Lin Xiao
math.OCarXiv:2011.11173v22020
Sensitivity analysis methods in the biomedical sciences
George Qian, Adam Mahdi
q-bio.QMstat.AParXiv:2001.03965v12020
Adversarial Robustness through Local Linearization
Chongli Qin, James Martens, Sven Gowal +6
stat.MLcs.LGarXiv:1907.02610v22019
Deterministic Pilot Design and Channel Estimation for Downlink Massive MIMO-OTFS Systems in Presence of the Fractional Doppler
Ding Shi, Wenjin Wang, Li You +4
cs.ITmath.ITarXiv:2105.09628v12021
Quantum Dynamics in Krylov Space: Methods and Applications
Pratik Nandy, Apollonas S. Matsoukas-Roubeas, Pablo Martínez-Azcona +2
quant-phcond-mat.stat-mechcond-mat.str-elarXiv:2405.09628v32024
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction
Harsh Chaudhari, Ashish Choudhury, Arpita Patra +1
cs.CRcs.LGarXiv:1912.02592v12019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
Simon S. Du, Kangcheng Hou, Barnabás Póczos +3
cs.LGcs.AIcs.CVarXiv:1905.13192v22019
Locally Differentially Private Analysis of Graph Statistics
Jacob Imola, Takao Murakami, Kamalika Chaudhuri
cs.CRcs.DBarXiv:2010.08688v22020
Disentangling Factors of Variation Using Few Labels
Francesco Locatello, Michael Tschannen, Stefan Bauer +3
cs.LGcs.AIstat.MLarXiv:1905.01258v22019
Tensor neural networks for high-dimensional Fokker-Planck equations
Taorui Wang, Zheyuan Hu, Kenji Kawaguchi +2
math.NAcs.NAarXiv:2404.05615v22024
Positive Sample Propagation along the Audio-Visual Event Line
Jinxing Zhou, Liang Zheng, Yiran Zhong +2
cs.CVcs.MMcs.SDarXiv:2104.00239v32021
Learning Compositional Koopman Operators for Model-Based Control
Yunzhu Li, Hao He, Jiajun Wu +2
cs.LGcs.ROmath.OCarXiv:1910.08264v22019
Universality Laws for High-Dimensional Learning with Random Features
Hong Hu, Yue M. Lu
cs.ITarXiv:2009.07669v32020
Toward a Metrology for Artificial Intelligence: Hidden-Rule Environments and Reinforcement Learning
Christo Mathew, Wentian Wang, Jacob Feldman +4
cs.LGcs.AIstat.MLarXiv:2509.06213v32025
Physics-informed neural networks with hard constraints for inverse design
Lu Lu, Raphael Pestourie, Wenjie Yao +3
physics.comp-phcs.LGarXiv:2102.04626v12021
The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei, Andrea Montanari
math.STstat.MLarXiv:1908.05355v52019
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Xinlei Chen, Zhuang Liu, Saining Xie +1
cs.CVcs.LGarXiv:2401.14404v12024
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis
Tingfeng Cao, Chengyu Wang, Bingyan Liu +3
cs.CLarXiv:2311.06752v12023
Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge
Freya Behrens, Lenka Zdeborová
cs.LGarXiv:2506.14457v12025
Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan +3
cs.CVcs.LGarXiv:2308.13712v32023
StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering
Lukas Radl, Michael Steiner, Mathias Parger +3
cs.GRcs.CVarXiv:2402.00525v32024
Sampling using $SU(N)$ gauge equivariant flows
Denis Boyda, Gurtej Kanwar, Sébastien Racanière +5
hep-latcs.LGstat.MLarXiv:2008.05456v22020
Observation of high-energy neutrinos from the Galactic plane
R. Abbasi, M. Ackermann, J. Adams +386
astro-ph.HEastro-ph.GAcs.LGarXiv:2307.04427v12023
Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
Seil Kang, Jinyeong Kim, Junhyeok Kim +1
cs.CVcs.AIarXiv:2503.06287v12025
Variational quantum simulation of general processes
Suguru Endo, Jinzhao Sun, Ying Li +2
quant-pharXiv:1812.08778v42018
A Generalized Approximate Control Variate Framework for Multifidelity Uncertainty Quantification
Alex A. Gorodetsky, Gianluca Geraci, Mike Eldred +1
stat.COarXiv:1811.04988v32018
Wave Matrix Lindbladization II: General Lindbladians, Linear Combinations, and Polynomials
Dhrumil Patel, Mark M. Wilde
quant-pharXiv:2309.14453v12023
DAWN: Dynamic Adversarial Watermarking of Neural Networks
Sebastian Szyller, Buse Gul Atli, Samuel Marchal +1
cs.CRstat.MLarXiv:1906.00830v52019
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient
Ankit Pensia, Shashank Rajput, Alliot Nagle +2
cs.LGcs.ITmath.ITarXiv:2006.07990v22020
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Mostafa Dehghani, Basil Mustafa, Josip Djolonga +12
cs.CVcs.AIcs.LGarXiv:2307.06304v12023
Stable and low-precision training for large-scale vision-language models
Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer +3
cs.LGcs.CVarXiv:2304.13013v22023
Topology of deep neural networks
Gregory Naitzat, Andrey Zhitnikov, Lek-Heng Lim
cs.LGmath.ATstat.MLarXiv:2004.06093v12020
Analytical Channel Models for Millimeter Wave UAV Networks under Hovering Fluctuations
Mohammad Taghi Dabiri, Hossein Safi, Saeedeh Parsaeefard +1
eess.SParXiv:1905.01477v12019
Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
Cheng Lu, Yang Song
cs.LGstat.MLarXiv:2410.11081v22024
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
Venkat Nemani, Luca Biggio, Xun Huan +6
cs.LGcs.AIarXiv:2305.04933v22023
Deep Residual Learning in Spiking Neural Networks
Wei Fang, Zhaofei Yu, Yanqi Chen +3
cs.NEarXiv:2102.04159v62021
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort +4
cs.LGstat.MLarXiv:2002.09572v12020
Hybrid Oscillator-Qubit Quantum Processors: Instruction Set Architectures, Abstract Machine Models, and Applications
Yuan Liu, Shraddha Singh, Kevin C. Smith +11
quant-pharXiv:2407.10381v32024
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Zoë Holmes, Kunal Sharma, M. Cerezo +1
quant-phcs.LGstat.MLarXiv:2101.02138v22021
Theory III: Dynamics and Generalization in Deep Networks
Andrzej Banburski, Qianli Liao, Brando Miranda +4
cs.LGcs.AIcs.CVarXiv:1903.04991v52019
Bayesian Structure Scores for Probabilistic Circuits
Yang Yang, Gennaro Gala, Robert Peharz
cs.LGcs.AIstat.MLarXiv:2302.12130v12023

Every paper with a summary

Measuring In-Context Computation Complexity via Hidden State Prediction

Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks

Are NLP Models really able to Solve Simple Math Word Problems?

An Improved Analysis of Gradient Tracking for Decentralized Machine Learning

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces

Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning

Deep Joint Task Learning for Generic Object Extraction

User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things

Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning

Functionality understanding and segmentation in 3D scenes

Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing

Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues

Quantum Internet- Applications, Functionalities, Enabling Technologies, Challenges, and Research Directions

The Overlap Gap Property: a Geometric Barrier to Optimizing over Random Structures

Noise Resilience of Variational Quantum Compiling

Learning Dynamics of LLM Finetuning

Explaining Knowledge Distillation by Quantifying the Knowledge

Fault-tolerant operation of a logical qubit in a diamond quantum processor

Stochastic optimization with decision-dependent distributions

Sensitivity analysis methods in the biomedical sciences

Adversarial Robustness through Local Linearization

Deterministic Pilot Design and Channel Estimation for Downlink Massive MIMO-OTFS Systems in Presence of the Fractional Doppler

Quantum Dynamics in Krylov Space: Methods and Applications

ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction

Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels

Locally Differentially Private Analysis of Graph Statistics

Disentangling Factors of Variation Using Few Labels

Tensor neural networks for high-dimensional Fokker-Planck equations

Positive Sample Propagation along the Audio-Visual Event Line

Learning Compositional Koopman Operators for Model-Based Control

Universality Laws for High-Dimensional Learning with Random Features

Toward a Metrology for Artificial Intelligence: Hidden-Rule Environments and Reinforcement Learning

Physics-informed neural networks with hard constraints for inverse design

The generalization error of random features regression: Precise asymptotics and double descent curve

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis

Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge

Residual Denoising Diffusion Models

StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering

Sampling using $SU(N)$ gauge equivariant flows

Observation of high-energy neutrinos from the Galactic plane

Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding

Variational quantum simulation of general processes

A Generalized Approximate Control Variate Framework for Multifidelity Uncertainty Quantification

Wave Matrix Lindbladization II: General Lindbladians, Linear Combinations, and Polynomials

DAWN: Dynamic Adversarial Watermarking of Neural Networks

Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution

Stable and low-precision training for large-scale vision-language models

Topology of deep neural networks

Analytical Channel Models for Millimeter Wave UAV Networks under Hovering Fluctuations

Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial

Deep Residual Learning in Spiking Neural Networks

The Break-Even Point on Optimization Trajectories of Deep Neural Networks

Hybrid Oscillator-Qubit Quantum Processors: Instruction Set Architectures, Abstract Machine Models, and Applications

Connecting ansatz expressibility to gradient magnitudes and barren plateaus

Theory III: Dynamics and Generalization in Deep Networks

Bayesian Structure Scores for Probabilistic Circuits