:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Sinaga, Kristina P., Nair, Arjun S.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Information Theory Probability
Accesso online:	https://arxiv.org/abs/2509.23665
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Disproving the Feasibility of Learned Confidence Calibration Under Binary Supervision: An Information-Theoretic Impossibility
di: Nair, Arjun S., et al.
Pubblicazione: (2025)

Natural Latents: Latent Variables Stable Across Ontologies
di: Wentworth, John, et al.
Pubblicazione: (2025)

Trustworthy Actionable Perturbations
di: Friedbaum, Jesse, et al.
Pubblicazione: (2024)

The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs
di: Fang, Junli, et al.
Pubblicazione: (2023)

Bi-Level Multi-View fuzzy Clustering with Exponential Distance
di: Sinaga, Kristina P.
Pubblicazione: (2025)

L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
di: Chen, Zhuo, et al.
Pubblicazione: (2025)

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
di: Do, Nguyen, et al.
Pubblicazione: (2024)

Graphical Models for Decision-Making: Integrating Causality and Game Theory
di: Vonk, Maarten C., et al.
Pubblicazione: (2025)

Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation
di: Nichani, Arjun, et al.
Pubblicazione: (2026)

Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy
di: Chen, Fan, et al.
Pubblicazione: (2025)

Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
di: Laakom, Firas, et al.
Pubblicazione: (2025)

Representative Arm Identification: A fixed confidence approach to identify cluster representatives
di: Gharat, Sarvesh, et al.
Pubblicazione: (2024)

A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations
di: Gansekoele, Arwin, et al.
Pubblicazione: (2024)

Shannon invariants: A scalable approach to information decomposition
di: Gutknecht, Aaron J., et al.
Pubblicazione: (2025)

Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning
di: Samuelson, Jeremy J
Pubblicazione: (2026)

Scaling Limits of Long-Context Transformers
di: Bruno, Giuseppe, et al.
Pubblicazione: (2026)

A Score-Based Density Formula, with Applications in Diffusion Generative Models
di: Li, Gen, et al.
Pubblicazione: (2024)

Tail-Aware Information-Theoretic Generalization for RLHF and SGLD
di: Zhang, Huiming, et al.
Pubblicazione: (2026)

Treatment of Epistemic Uncertainty in Conjunction Analysis with Dempster-Shafer Theory
di: Sanchez, Luis, et al.
Pubblicazione: (2024)

Les Houches Lectures on Deep Learning at Large & Infinite Width
di: Bahri, Yasaman, et al.
Pubblicazione: (2023)

Machine Unlearning via Information Theoretic Regularization
di: Xu, Shizhou, et al.
Pubblicazione: (2025)

Generalization and Informativeness of Conformal Prediction
di: Zecchin, Matteo, et al.
Pubblicazione: (2024)

One if by Land, Two if by Sea, Three if by Four Seas, and More to Come -- Values of Perception, Prediction, Communication, and Common Sense in Decision Making
di: Xu, Aolin
Pubblicazione: (2025)

Transition Role of Entangled Data in Quantum Machine Learning
di: Wang, Xinbiao, et al.
Pubblicazione: (2023)

Neural Beam Field for Spatial Beam RSRP Prediction
di: Guo, Keqiang, et al.
Pubblicazione: (2025)

A Wireless Foundation Model for Multi-Task Prediction
di: Sheng, Yucheng, et al.
Pubblicazione: (2025)

Machine Learning of the Prime Distribution
di: Kolpakov, Alexander, et al.
Pubblicazione: (2024)

DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design
di: Yu, Xinling, et al.
Pubblicazione: (2025)

A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation
di: Musab, Mustafa, et al.
Pubblicazione: (2025)

A large deviation view of \emph{stationarized} fully lifted blirp interpolation
di: Stojnic, Mihailo
Pubblicazione: (2025)

ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
di: Bhattacharya, Sagnik, et al.
Pubblicazione: (2025)

Near-Optimal Clustering in Mixture of Markov Chains
di: Lee, Junghyun, et al.
Pubblicazione: (2025)

Fully lifted \emph{blirp} interpolation -- a large deviation view
di: Stojnic, Mihailo
Pubblicazione: (2025)

On Statistical Estimation of Edge-Reinforced Random Walks
di: Qinghua, et al.
Pubblicazione: (2025)

Matrices with Gaussian noise: optimal estimates for singular subspace perturbation
di: O'Rourke, Sean, et al.
Pubblicazione: (2018)

Two-Sided Bounds for Entropic Optimal Transport via a Rate-Distortion Integral
di: Liu, Jingbo
Pubblicazione: (2026)

A discrete Benamou-Brenier formulation of Optimal Transport on graphs
di: Morris, Kieran, et al.
Pubblicazione: (2026)

IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
di: Olug, Eren, et al.
Pubblicazione: (2024)

A Machine Learning based Hybrid Receiver for 5G NR PRACH
di: Singh, Rohit, et al.
Pubblicazione: (2024)

Quantifying Information Loss under Coarse-Grained Partitions: A Discrete Framework for Explainable Artificial Intelligence
di: Izumo, Takashi
Pubblicazione: (2025)