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.

Search paper metadata (including unsummarized papers)

18,901 to 18,960 of 119,935

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
Quantum simulations of molecular systems with intrinsic atomic orbitals
Stefano Barison, Davide Emilio Galli, Mario Motta
quant-pharXiv:2011.08137v32020
Mutual Information Regularized Offline Reinforcement Learning
Xiao Ma, Bingyi Kang, Zhongwen Xu +2
cs.LGcs.AIarXiv:2210.07484v32022
Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques
Bruno Clerckx, Yijie Mao, Robert Schober +7
cs.ITeess.SParXiv:2101.04802v12021
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
Paul Pu Liang, Yun Cheng, Xiang Fan +9
cs.LGcs.AIcs.CLarXiv:2302.12247v52023
Smoothing Traffic Flow via Control of Autonomous Vehicles
Yang Zheng, Jiawei Wang, Keqiang Li
math.OCeess.SYarXiv:1812.09544v22018
Gauge-Symmetry Violation Quantum Phase Transition in Lattice Gauge Theories
Maarten Van Damme, Jad C. Halimeh, Philipp Hauke
cond-mat.quant-gascond-mat.stat-mechcond-mat.str-elarXiv:2010.07338v12020
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila +1
cs.CVcs.AIcs.LGarXiv:2206.00364v22022
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis
Zilong Wang, Zhaohong Wan, Xiaojun Wan
cs.CLarXiv:2009.02902v22020
Roadmap on Atomtronics: State of the art and perspective
L. Amico, M. Boshier, G. Birkl +56
cond-mat.quant-gasquant-pharXiv:2008.04439v52020
Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations
Ling Guo, Hao Wu, Xiaochen Yu +1
cs.LGcs.NAmath.NAarXiv:2203.08501v12022
CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations
Wei Tang, Teague Tomesh, Martin Suchara +2
quant-phcs.ETarXiv:2012.02333v32020
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
Louis Schatzki, Martin Larocca, Quynh T. Nguyen +2
quant-phcs.LGstat.MLarXiv:2210.09974v32022
Bosonic quantum error correction codes in superconducting quantum circuits
W. Cai, Y. Ma, W. Wang +2
quant-pharXiv:2010.08699v12020
RvS: What is Essential for Offline RL via Supervised Learning?
Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov +1
cs.LGcs.AIstat.MLarXiv:2112.10751v22021
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng +7
cs.LGcs.AIcs.CLarXiv:2404.00282v32024
Topology-Imbalance Learning for Semi-Supervised Node Classification
Deli Chen, Yankai Lin, Guangxiang Zhao +4
cs.LGarXiv:2110.04099v12021
WARM: On the Benefits of Weight Averaged Reward Models
Alexandre Ramé, Nino Vieillard, Léonard Hussenot +4
cs.LGcs.AIcs.CLarXiv:2401.12187v12024
Quantum Adversarial Machine Learning
Sirui Lu, Lu-Ming Duan, Dong-Ling Deng
quant-phcond-mat.dis-nncond-mat.str-elarXiv:2001.00030v12019
Scalable error mitigation for noisy quantum circuits produces competitive expectation values
Youngseok Kim, Christopher J. Wood, Theodore J. Yoder +4
quant-phcond-mat.mes-hallarXiv:2108.09197v12021
fPINNs: Fractional Physics-Informed Neural Networks
Guofei Pang, Lu Lu, George Em Karniadakis
physics.comp-pharXiv:1811.08967v12018
The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles
Tomas Baca, Matej Petrlik, Matous Vrba +4
cs.ROeess.SYarXiv:2008.08050v62020
Teaching language models to support answers with verified quotes
Jacob Menick, Maja Trebacz, Vladimir Mikulik +8
cs.CLcs.LGarXiv:2203.11147v12022
Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity
Hilal Asi, John C. Duchi
math.OCstat.MLarXiv:1810.05633v22018
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation
Ziwei Fan, Zhiwei Liu, Lei Zheng +2
cs.IRcs.AIcs.LGarXiv:2106.06165v12021
Chip-to-chip quantum teleportation and multi-photon entanglement in silicon
Daniel Llewellyn, Yunhong Ding, Imad I. Faruque +17
quant-pharXiv:1911.07839v22019
An Expert's Guide to Training Physics-informed Neural Networks
Sifan Wang, Shyam Sankaran, Hanwen Wang +1
cs.LGmath.NAphysics.comp-pharXiv:2308.08468v12023
Communicating with Extremely Large-Scale Array/Surface: Unified Modelling and Performance Analysis
Haiquan Lu, Yong Zeng
cs.ITarXiv:2104.13162v12021

Every paper with a summary

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

Quantum simulations of molecular systems with intrinsic atomic orbitals

Mutual Information Regularized Offline Reinforcement Learning

Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

Smoothing Traffic Flow via Control of Autonomous Vehicles

Gauge-Symmetry Violation Quantum Phase Transition in Lattice Gauge Theories

Elucidating the Design Space of Diffusion-Based Generative Models

TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis

Roadmap on Atomtronics: State of the art and perspective

Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations

CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations

Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks

Bosonic quantum error correction codes in superconducting quantum circuits

RvS: What is Essential for Offline RL via Supervised Learning?

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

Topology-Imbalance Learning for Semi-Supervised Node Classification

WARM: On the Benefits of Weight Averaged Reward Models

Quantum Adversarial Machine Learning

Scalable error mitigation for noisy quantum circuits produces competitive expectation values

fPINNs: Fractional Physics-Informed Neural Networks

The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles

Teaching language models to support answers with verified quotes

Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation

Chip-to-chip quantum teleportation and multi-photon entanglement in silicon

An Expert's Guide to Training Physics-informed Neural Networks

Communicating with Extremely Large-Scale Array/Surface: Unified Modelling and Performance Analysis