Capacity

Follow this topic Ask about this topic

Recent momentum

-69%

5 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Capacity.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Capacity.

77 papers

Latest in Capacity

Open your feed →

AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers
Sep 8, 2026Alexander Crosier, Kyle Onghai, Ronnie SircarArtificial Intelligence Data Centers Data Centers
Jacap: Robust KV Cache Eviction via Jacobian-Based Nonlinear Information Capacity Preservation
Sep 8, 2026Jiaming Yang, Chenwei Tang, Liangli Zhen +2Key-Value Cache Eviction Catastrophic Forgetting
MINERVA: How Small Can a Manipulation Policy Be and Still Solve LIBERO?
Sep 3, 2026Kohei Sendai, Tatsuya Matsushima, Yusuke IwasawaVision-Language-Action Policies Robot Policies
Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Framework
Aug 31, 2026Zhanbo Zhang, Ming Liu, Qing WangMemorization Topological Learning
Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss
Aug 28, 2026Niccolò Ajroldi, Diana Alexandra Onutu, Haider Al-Tahan +4Learning Rates Batch Size
TANGCO: Learning Topology-Aware Capacity Allocation for Overload-driven Cascading Failures
Aug 13, 2026Orkun Irsoy, Leman Akoglu, Osman YaganAc Optimal Power Flow Optimal Comparison Allocation
Adaptive Semantic Capacity Allocation for Parallel Generative Recommendation
Aug 10, 2026Chenxi Li, Yuchen Lu, Xu YangRecommendation Architecture Unified Generative Framework
ASPaeroFlow: Decomposition Heuristics for Joint Air Traffic Flow & Capacity Management
Aug 10, 2026Alexander Beiser, Markus Hecher, Nysret Musliu +2Air Traffic Control Aerodynamics
Signature-Guided Capacity Occupancy for Dense Expert Merging
Aug 10, 2026Lingching Tung, Chi-Jui Kim, Beicheng Xu +2Model Merging Capacity
Adaptive Two-Level Allocation of a Conserved Capacity Budget Across Locations and Service Classes
Aug 7, 2026Simone Mainardi, Kaushal Bansal, Prabhat SinghOptimal Comparison Allocation Capacity
Complete, Scalable, and Robust Prioritized Planning for Multi-Robot Ordered Storage and Retrieval at Maximum Capacity
Aug 7, 2026William Zhang, Tzvika Geft, Jingjin Yu +1Multi-Robot Motion Planning Multi-Agent Pickup
Skaling: Chinchilla's Exponents Meet Kaplan's Coupling
Aug 7, 2026Mathurin Videau, Badr Youbi-Idrissi, David Lopez-Paz +1Scaling Laws Large Language Model Scale
Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning
Aug 7, 2026Alireza Moayedikia, Alicia Troncoso LoraDistributional Learning Empirical Risk Minimization
Does Splitting a Triage Decision Across Agents Hide Bias or Help Catch It? A Multi-Agent Simulation Study of LLM-Based Resource Allocation Under Audit Capacity Constraints
Aug 7, 2026Paul-Peter ArslanLarge Language Model Bias Multi-Agent Large Language Model Systems
Differentiating Through Dual Prices: End-to-End Policy Learning Under Capacity Constraints
Aug 5, 2026Mohammadsaeed Haghi, Mahdi Salmani, Nima KelidariQueueing Prices
ACA-GS: Adaptive-Capacity Anchored Gaussian Splatting for Compact Dynamic Radiance Fields
Aug 5, 2026Seunghyeon Song, Joo Chan Lee, Chanung Park +4Gaussian Splatting Wireless Radiance Field
Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities
Jul 27, 2026Léo Hein, Giovanni De Nunzio, Aurélie Pirayre +1Traffic Sparse Supervision
Quantum-Inspired Evolutionary Neighborhood Search for Arrival-Departure Track Utilization Adjustment under Short-Term Disturbances
Jul 27, 2026Xiaobin Li, Wuming Lei, Yanbin Gao +1Quantum Annealing Capacity
How Many Bits Can an Adapter Write? Measuring the Capacity and Memorization of Parameter-Efficient Fine-Tuning
Jul 23, 2026Kaizhen Tan, Heqing Du, Yang FengLow-Rank Adapters Peak Memory
Time Series Network Utilization KPI Forecasting Using Advanced AI/ML Models
Jul 22, 2026Niraj Gadhe, Kirti Bhardwaj, Moulik Jain +2Time Series Forecasting Capacity
Locality-Aware Density Control for Efficient Gaussian-based Image Representation
Jul 20, 2026Jiacong Chen, Qingyu Mao, Xiandong Meng +5Lifecycle-Managed Gaussian Mapping Strategy Gaussian Splatting
Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones
Jul 19, 2026Ayoub Ghriss, Sourav ChakrabortyDynamic Sparse Attention Associative Memory
Capacity and Redundancy Trade-offs in Multi-Task Learning
Jul 17, 2026Asif KhanMulti--Task Learning Redundancy
Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities
Jul 15, 2026Eunna Lee, Jungpyo Nam, Sunjun HwangVisual Hallucinations Capacity
Constraint-Aware Aggregation for Federated Reinforcement Learning in Microgrid Energy Coordination
Jul 14, 2026Usman Haider, Karl MasonMulti-Agent Reinforcement Learning Smart Grids
Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
Jul 13, 2026Marlon Becker, Jonas Konrad, Luis Garcia Rodriguez +1Memorization Deep Neural Network
ML in a Box: Analyzing Containerization Practices in Open Source ML Projects
Jul 11, 2026Faten Jebari, Emna Ksontini, Amine Barrak +1Machine Learning Capacity
MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning
Jul 9, 2026Harrison Rush, Vincent Davis, Simone Antonelli +3Blockchain Object Placement
Think Big, Search Small: Where Capacity Matters in Hierarchical Search Agents?
Jul 8, 2026Qinnan Cai, Yibo Zhao, Xiang LiSearch Agents Capacity
LLM-Guided Transportation Hub Capacity Planning with Textual Business Inputs
Jul 4, 2026Xiaoyue Liu, Zheng DongLarge Language Model Routing Capacity
Joint Air Traffic Flow and Capacity Management via Answer Set Programming
Jun 22, 2026Alexander Beiser, Markus Hecher, Nysret Musliu +1Air Traffic Control Joint Optimization
Expressivity Saturation: Reduced Affine Region Usage Under Increasing Task Complexity
Jun 19, 2026Xuan Qi, Yi Wei, Fanqi Yu +1Affine Expressibility
Learning Burst-Aware Early Warning Models for Capacity Stress under AI Workload Surges in Hyperscale Data Centers
Jun 19, 2026Zihan Yu, Xianling Zeng, Zhiming Xue +2Artificial Intelligence Data Centers Data Centers
Finite-Time Queue Peak Laws in Stochastic Networks: Logarithmic Scaling After Geometric Thresholds
Jun 16, 2026Hao Liang, Cheng Tang, Yunzong XuQueueing Adaptive Scheduling
Small Initialization Matters for Large Language Models
Jun 16, 2026Liangkai Hang, Junjie Yao, Zhiyu Li +3Capacity Developmental Trajectories
Qualified Educational Capacity Planning under Heterogeneous Student Support Needs: A Synthetic Benchmark and Decision-Support Framework
Jun 15, 2026Carlos Eduardo Sanoja, Oscar Enrique Moreno MayzEducation Capacity
Architectural Wisdom: A Framework for Governing Optimization in AI Systems
Jun 15, 2026Edward Y. ChangArtificial Intelligence Governance Artificial Intelligence Systems
Dense Coordinate-List Fine-Tuning Induces a Controllable Interference Surface in Vision-Language Models
Jun 12, 2026Chenyu Zhou, Qiliang Jiang, Boguang PanVisual Grounding Repetition
Capacity, Not Format: Rethinking Structured Reasoning Failures
Jun 8, 2026Hengxin FanCapacity Frontier Models
Unified Energy for Invariant and Independent Decoding in Diffusion Language Models
Jun 8, 2026Yuchen Yan, Minkai Xu, Zaiquan Yang +1Diffusion Language Models Constrained Decoding Strategies
How Much Capacity Does EEG Denoising Need? Ultra-Compact Networks reveal Benchmark Saturation and Metric-Utility Gap
Jun 7, 2026Jasmeet Singh Bindra, Siddharth PanwarBrain-Computer Interface Capacity
The Capacity of Information-Theoretic Secure Aggregation in Federated Learning
Jun 5, 2026Lanxin Yi, Jinbao Zhu, Kai Wan +1Secure Aggregation Diffie-Hellman
Shortcomings and capacities of real-constrained neural networks in complex spaces
Jun 3, 2026Andrew GracykKernel Hilbert Spaces Polytopes
DFlare: Scaling Up Draft Capacity for Block Diffusion Speculative Decoding
Jun 1, 2026Jiebin Zhang, Zhenghan Yu, Song Liu +9LLM Inference Efficiency Diffusion Language Models
Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail
May 29, 2026Konstantin Nikolaou, Jonas Scheunemann, Sven Krippendorf +2Scaling Laws Neural Tangent Kernel
A Dual-Path Architecture for Scaling Compute and Capacity in LLMs
May 28, 2026Markus Frey, Behzad Shomali, Joachim Koehler +1Large Language Model Scale Multi-Layer Transformers
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
May 28, 2026Jing Huang, Daniel Wurgaft, Rachit Bansal +6Capacity Scaling
Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation
May 25, 2026Shuhong Zheng, Aashish Kumar Misraa, Yu-Teng Li +2Multimodal Generation Large Multimodal Models
Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay
May 25, 2026Martin Marek, Dongkyu Cho, Shikai Qiu +3Forgetting Large Language Model Memory
Beyond Fixed Points: Superpolynomial Capacity of Asymmetric Hopfield Networks
May 23, 2026Aakash Kumar, Anatoly Khina, Frederik Mallmann-Trenn +1Hopfield Networks Attractors
Synheart Capacity: A Theory-Driven Physiological Representation of Cognitive Capacity Dynamics from Wearable Signals
May 23, 2026Yisak Debele, Henok Ademtew, Israel GoytomRemote Physiological Measurement Cognitive Load
Characterizing the Representational Capacity of Neural Processes
May 22, 2026Robin YoungRepresentational Capacity Capacity
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
May 22, 2026Xu Ouyang, Deyi Liu, Yuhang Cai +5Large Language Model Scale Scaling Laws
Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws
May 20, 2026Nandan Kumar Jha, Brandon ReagenOptimizer Design Scaling Laws
Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints
May 20, 2026Alexi Canesse, Benoît Goupil, Jesse Read +1Multi-Agent Reinforcement Learning Bandwidth Extension
Predictable Confabulations: Factual Recall by LLMs Scales with Model Size and Topic Frequency
May 18, 2026Matthew L. Smith, Jonathan P. Shock, Samuel T. Segun +2Large Language Model Scale Factual Recall
Your SaaS Is an Insurance Product: A Modeling Framework
May 15, 2026Caio GomesInsurance Prices
AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
May 15, 2026Qitan Lv, Hong Wang, Zhongkai Hao +5Neural Operators Partial Differential Equations
Procedural-skill SFT across capacity tiers: A W-Shaped pre-SFT Trajectory and Regime-Asymmetric Mechanism on 0.8B-4B Qwen3.5 Models
May 12, 2026Igor StrozziSupervised Fine-Tuning Frontiers
Multi-Narrow Transformation as a Single-Model Ensemble: Boundary Conditions, Mechanisms, and Failure Modes
May 12, 2026Tatsuhito Hasegawa, Taisei TanakaEnsemble Multi--Task Learning

Sep 8, 2026 · q-fin.GNJ/K move · Enter open · S save

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

Alexander Crosier, Kyle Onghai, Ronnie Sircar

The twenty-first century's transformative technology, artificial intelligence, is increasingly constrained by the twentieth century's transformative technology, the electricity grid. Rapid growth in electricity demand from data centers is leading to higher electricity prices, without a compensating supply-side response. We develop a framework linking data-center load growth, available generation capacity, and market-clearing prices to understand this phenomenon. We first analyze a deterministic model to show how differing estimates of demand and supply growth rates affect prices. We then model the expansion of new data centers and their associated electricity demand, together with build-outs of new electricity supply, as stochastic processes,resulting in probabilistic distributions of supply, demand, and prices rather than a single forecast. Finally, we formulate generation expansion as a stochastic control problem in which a revenue-maximizing investor dynamically chooses the intensity of supply-side investments. The analysis highlights a central challenge of the data-center build-out: even when rapid demand growth increases the need for new generation, the uncertainties related to load forecasts, development execution risks, and value cannibalization from overbuilding capacity may weaken incentives to invest at the pace required to keep electricity prices stable.

Artificial Intelligence Data Centers Data Centers Capacity Growth

Open paper Ask about it PDF