AI research, releases, and engineering. — page 8
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Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees
Abstract page for arXiv paper 2607.21623: Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees
On the Depth Scalability of Logic Gate Networks
Abstract page for arXiv paper 2607.21633: On the Depth Scalability of Logic Gate Networks
MotifRole-Diff: Risk-Optimal Role-Aware Corruption for Masked Molecular Graph Diffusion
Abstract page for arXiv paper 2607.21634: MotifRole-Diff: Risk-Optimal Role-Aware Corruption for Masked Molecular Graph Diffusion
Toward User-Conditioned Evaluation of Personal LLM Agents under Temporal Interventions
Abstract page for arXiv paper 2607.21635: Toward User-Conditioned Evaluation of Personal LLM Agents under Temporal Interventions
Measuring the Dependency Gap: Diagnosing Inter-Column Fidelity in Tabular Generative Models
Abstract page for arXiv paper 2607.21636: Measuring the Dependency Gap: Diagnosing Inter-Column Fidelity in Tabular Generative Models
Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning
Abstract page for arXiv paper 2607.21637: Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning
Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations
Abstract page for arXiv paper 2607.21644: Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations
Multi-Horizon Consistency as Geometry: When Latent Dynamics Contract, and When They Do Not
Abstract page for arXiv paper 2607.21645: Multi-Horizon Consistency as Geometry: When Latent Dynamics Contract, and When They Do Not
Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning
Abstract page for arXiv paper 2607.21646: Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning
A Drift Stable Quantum Federated Learning for Intelligent Services
Abstract page for arXiv paper 2607.21647: A Drift Stable Quantum Federated Learning for Intelligent Services
Prior laundering: learned priors with inherited, undetectable overconfidence
Abstract page for arXiv paper 2607.21721: Prior laundering: learned priors with inherited, undetectable overconfidence
Simulation-Based Empirical Bayes
Abstract page for arXiv paper 2607.21843: Simulation-Based Empirical Bayes
Efficient Online LLM Watermark Detection via Rao-Blackwellized E-Processes
Abstract page for arXiv paper 2607.21958: Efficient Online LLM Watermark Detection via Rao-Blackwellized E-Processes
Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model
Abstract page for arXiv paper 2607.22221: Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model
Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis
Abstract page for arXiv paper 2607.22262: Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis
General Value Functions for Remaining Useful Life and Failure-Mode Prediction
Abstract page for arXiv paper 2607.22268: General Value Functions for Remaining Useful Life and Failure-Mode Prediction
Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting
Abstract page for arXiv paper 2607.22299: Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting
Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks
Abstract page for arXiv paper 2607.22313: Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks
Learning Ergodic Dynamical Systems from a Finite Trajectory
Abstract page for arXiv paper 2607.22399: Learning Ergodic Dynamical Systems from a Finite Trajectory
Graph-Based Correlation Matrix Generation: A Convex Optimization Approach
Abstract page for arXiv paper 2607.22436: Graph-Based Correlation Matrix Generation: A Convex Optimization Approach
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