:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Dominguez, Alejandro Rodriguez
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence 68T05, 68Q32, 94A17, 62C20, 47A05 I.2.6; F.2.2; E.4; G.3; I.2.8
Online Access:	https://arxiv.org/abs/2602.23446
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Fiber Criterion for Representation Identifiability in Supervised Learning
by: Sevetlidis, Vasileios
Published: (2026)

Energy-Efficient Information Representation in MNIST Classification Using Biologically Inspired Learning
by: Stricker, Patrick, et al.
Published: (2026)

LAWS: Learning from Actual Workloads Symbolically -- A Self-Certifying Parametrized Cache Architecture for Neural Inference, Robotics, and Edge Deployment
by: Magarshak, Gregory
Published: (2026)

The Current and Future Perspectives of Zinc Oxide Nanoparticles in the Treatment of Diabetes Mellitus
by: Yousaf, Iqra
Published: (2024)

Laws of Learning Dynamics and the Core of Learners
by: Jung, Inkee, et al.
Published: (2026)

Batched Nonparametric Bandits via k-Nearest Neighbor UCB
by: Arya, Sakshi
Published: (2025)

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation
by: Gharami, Kanchon, et al.
Published: (2025)

Sparse Knowledge Distillation: A Mathematical Framework for Probability-Domain Temperature Scaling and Multi-Stage Compression
by: Flouro, Aaron R., et al.
Published: (2026)

Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
by: Landers, Jonathan R.
Published: (2025)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
by: Zhang, Zhi, et al.
Published: (2024)

Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
by: Du, Wenzhang
Published: (2025)

A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)

Artificial Neural Networks on Graded Vector Spaces
by: Shaska, Tony
Published: (2024)

Computational Hardness of Reinforcement Learning with Partial $q^π$-Realizability
by: Karimi, Shayan, et al.
Published: (2025)

Semantic Variational Bayes Based on Semantic Information G Theory for Solving Latent Variables
by: Lu, Chenguang
Published: (2024)

EARCP: Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making -- Ensemble Auto-Regule par Coherence et Performance
by: Amega, Mike
Published: (2026)

Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation
by: Pachet, François, et al.
Published: (2026)

Connectivity-Aware Representations for Constrained Motion Planning via Multi-Scale Contrastive Learning
by: Jeon, Suhyun, et al.
Published: (2026)

A Semantic Generalization of Shannon's Information Theory and Applications
by: Lu, Chenguang
Published: (2025)

Retrieval-Augmented Memory for Online Learning
by: Du, Wenzhang
Published: (2025)

Optimistic Feasible Search for Closed-Loop Fair Threshold Decision-Making
by: Du, Wenzhang
Published: (2025)

Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2023)

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach
by: Erden, Caner, et al.
Published: (2025)

Submodular Benchmark Selection
by: Smola, Alexander
Published: (2026)

How Does Machine Learning Manage Complexity?
by: Fortnow, Lance
Published: (2026)

Ultrahigh-Q chiral resonances empowered by multi-head attention deep learning
by: Zhang, Cong, et al.
Published: (2025)

The two clocks and the innovation window: When and how generative models learn rules
by: Wang, Binxu, et al.
Published: (2026)

Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
by: Gulati, Aryan, et al.
Published: (2025)

Bandwidth-Efficient Multi-Agent Communication through Information Bottleneck and Vector Quantization
by: Farooq, Ahmad, et al.
Published: (2026)

Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
by: Tiwari, Dhruv
Published: (2025)

MMD-Balls as Credal Sets: A PAC-Bayesian Framework for Epistemic Uncertainty in Test-Time Adaptation
by: Ariq, Ahanaf Hasan
Published: (2026)

Inductive Venn-Abers and related regressors
by: Petej, Ivan, et al.
Published: (2026)

Aggregation in conformal e-classification
by: Vovk, Vladimir
Published: (2026)

Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks
by: Amin, M Ruhul
Published: (2025)

Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference
by: Anchuri, Pranay, et al.
Published: (2026)

Intelligence Inertia: Physical Isomorphism and Applications
by: Han, Jipeng
Published: (2026)

OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques
by: Saini, Varij, et al.
Published: (2025)

Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks
by: Ahmadian, Rouhollah, et al.
Published: (2024)

Hallucinations Live in Variance
by: Flouro, Aaron R., et al.
Published: (2026)

Graded Transformers
by: Shaska Sr, Tony
Published: (2025)