Growth

Momentum

14 papers in the last four weeks, up 180% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 46

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  1. Temporally-Resolved Token Attribution Reveals the Generation Dynamics of Diffusion Language Models

    Oct 1, 2026Darpan Aswal, Céline HudelotDiffusion Language ModelsGrowth

  2. Robust and Learned Online Matching in Growing Trees

    Sep 30, 2026Marek Gałązka, Hanna WdowickaDistribution MatchingBellman Equation

  3. The Life Cycle of a Massive Activation: Stochastic Birth, Weight-Decay-Driven Growth, and Competitive Consolidation

    Sep 30, 2026S. Aaron McClendon, Jorge Gallego-Feliciano, Antonios SaravanosWeight DecayAdam

  4. Minimax Additive Regression under Unknown Dependent Designs

    Sep 30, 2026Baptiste Ferrere, Fabrice Gamboa, Jean-Michel LoubesMinimax RateMinimax

  5. What if automating AI R&D triggers an intelligence explosion?

    Sep 28, 2026Alan Chan, Christoph Winter, Andrew Barto +19Artificial Intelligence ResearchGrowth

  6. Neuron-Level Architecture Growth: A Controlled Evaluation for EEG Time-Series Decoding

    Sep 27, 2026Adam Mounir, Stella Douka, Arnault H. Caillet +2ElectroencephalographyNeurons

  7. On Growth and Form, and Function: Reusable Regulatory Handles Control Phenotypic Variation

    Sep 24, 2026Benedikt Hartl, Milton L. Montero, Marcello Barylli +2Neural Cellular AutomataSelf-Organization

  8. From greenhouse climate to individual leaves: an organ-resolved model of lettuce growth

    Sep 22, 2026Md Hasibur Rahman, Faraz Ahmed, Hafiz Muhammad Bilal +3Mediterranean GreenhousesNormalized Difference Vegetation Index

  9. How Model Growth, Recursion, and Boundary Operators Influence Scaling Exponents

    Sep 16, 2026Zixi Chen, Akshay Vegesna, Samip Dahal +1Scaling LawsExponents

  10. An Efficient Algorithm for Minimum-Pressure Growth Planning of Vine Robots

    Sep 16, 2026Andres C. Torres, Tobia Marcucci, Elliot W. HawkesObstacle AvoidanceShortest Paths

  11. Measuring AI Leadership: Development and Validation of a Multidimensional Measure for AI-Native Organizations

    Sep 16, 2026Mustafa Akben, Leslie CoyneHuman JudgmentExploratory Factor Analysis

  12. Why Does Post-Training Quantization Work?

    Sep 10, 2026Yuxiang Chen, Michael Beyer, Jun Zhu +1Post-Training QuantizationQuantized

  13. AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers

    Sep 8, 2026Alexander Crosier, Kyle Onghai, Ronnie SircarData CentersArtificial Intelligence Infrastructure

  14. GrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning Serving

    Sep 3, 2026Qiankun Ma, Yanjiang Zhou, Zinan Xiong +5LLM Reasoning StrategiesEfficient Large Language Model

  15. Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks

    Sep 1, 2026Mehrdad Shafiei Dizaji, Hoda AzariParametric Physics-Informed Neural NetworkSubsurface Scattering

  16. The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity

    Aug 13, 2026Martin J. WainwrightDiffusion SamplingGeometric Constraints

  17. Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem

    Aug 13, 2026Liam Wigney, Aneta Neumann, Yew-Soon Ong +1Salesman ProblemEvolutionary Optimization Methods

  18. Toward Reliable Context Compression for Long-Horizon Agents: An Empirical Study of Execution Instability

    Aug 6, 2026Guanghui Min, Liang Wu, Mayank Darbari +2Long-Horizon AgentsCompaction

  19. The Tamed Subgradient Unadjusted Langevin Algorithm beyond Convexity

    Aug 6, 2026Iosif Lytras, Nikolaos Makras, Sotirios SabanisStochastic Gradient DescentLangevin Dynamics

  20. Bag-of-Visual-Words for Spatial Mapping of Lung Adenocarcinoma Growth Patterns

    Aug 5, 2026Darya Ardan, Valentin Oreiller, Henning MüllerTumorWhole-Slide Images

  21. GROW: Group-Relative Advantage-Weighted On-Policy Reinforcement Learning of Autoregressive-Diffusion Text-to-Speech model

    Aug 4, 2026Guanrou Yang, Tian Tan, Qian Chen +8Flow-Matching Text-To-SpeechSpeaker Similarity

  22. Denoising growth complexity: Data geometry and certified schedules for diffusion sampling

    Jul 28, 2026Martin J. WainwrightDiffusion SamplingGrowth

  23. RELTA-SGLD: Relative-Growth Localized Taming for Nonconvex Stochastic-Gradient Langevin Learning

    Jul 21, 2026Yiwei Zhou, Ziheng ChenStochastic Gradient DescentNonconvex

  24. KVpop -- Key-Value Cache Compression with Predictive Online Pruning

    Jul 6, 2026Lukas Hauzenberger, Niklas Schmidinger, Anamaria-Roberta Hartl +5Key-Value Cache EvictionKey-Value Cache Compression

  25. GROW2^2: Grounding Which and Where for Robot Tool Use

    Jun 29, 2026Yuhong Deng, Yuyao Liu, David HsuAffordancesRobotic Systems

  26. Sumi: Open Uniform Diffusion Language Model from Scratch

    Jun 17, 2026Mengyu Ye, Keito Kudo, Wataru Ikeda +3Diffusion Language ModelsAutoregressive Model

  27. Runtime Analysis of the (μ+1)(μ+ 1)-ES in a Homogenous Progress Model

    Jun 11, 2026Johannes Lengler, Raghu Raman RaviOptimization LandscapeGrowth

  28. Feature extraction for plant growth estimation

    Jun 10, 2026Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. DavelFeature ExtractionConvolutional Neural Networks

  29. Physics-Constrained Neural Surrogate for Domain Growth Prediction in Systems with Conserved Kinetics

    Jun 9, 2026Vijay Yadav, Pallvi Pandey, Madhu Priya +2Physics-Guided Machine LearningKinetics

  30. Sample Complexity of Policy Gradient for Log-Growth Control

    May 26, 2026Qiuhua Pan, Yukai Shen, Liwei Zhang +2Policy GradientStochastic Optimal Control

  31. On the Stability of Growth in Structural Plasticity

    May 14, 2026Lute Lillo, Nick CheneyPlasticityGrowth

  32. When is Warmstarting Effective for Scaling Language Models?

    May 13, 2026Neeratyoy Mallik, Maciej Janowski, Johannes Hog +4Warm StartsLarge Language Model Training

  33. Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer

    May 8, 2026Clarissa Lauditi, Cengiz Pehlevan, Blake BordelonDeep NetworkNeural Network

  34. Neural surrogates for crystal growth dynamics with variable supersaturation: explicit vs. implicit conditioning

    Apr 23, 2026Matteo Rigoni, Daniele Lanzoni, Francesco Montalenti +1Surrogate ModelsCrystal

  35. The Geometry of Efficient Nonconvex Sampling

    Mar 26, 2026Santosh S. Vempala, Andre WibisonoLog-Concave DistributionsOptimal Sample Complexity