Copertina

Predicting integers from continuous parameters

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Maat, Bas, Bloem, Peter
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Universal pre-training by iterated random computation
di: Bloem, Peter
Pubblicazione: (2025)

LLM Probing with Contrastive Eigenproblems: Improving Understanding and Applicability of CCS
di: Schouten, Stefan F., et al.
Pubblicazione: (2025)

Debiased Counterfactual Generation via Flow Matching from Observations
di: Dance, Hugh, et al.
Pubblicazione: (2026)

Distinguishing Cause from Effect with Causal Velocity Models
di: Xi, Johnny, et al.
Pubblicazione: (2025)

Learning to optimize: A tutorial for continuous and mixed-integer optimization
di: Chen, Xiaohan, et al.
Pubblicazione: (2024)

Non-parametric Hypothesis Tests for Distributional Group Symmetry
di: Chiu, Kenny, et al.
Pubblicazione: (2023)

Counterfactual Cocycles: A Framework for Robust and Coherent Counterfactual Transports
di: Dance, Hugh, et al.
Pubblicazione: (2024)

Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity
di: Bloem, Tygo, et al.
Pubblicazione: (2025)

Mixed Variational Flows for Discrete Variables
di: Diluvi, Gian Carlo, et al.
Pubblicazione: (2023)

Mixed neural posterior estimation for simulators with discrete and continuous parameters
di: Boelts, Jan, et al.
Pubblicazione: (2026)

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
di: Younesian, Taraneh, et al.
Pubblicazione: (2023)

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics
di: Bas, Tetiana
Pubblicazione: (2024)

Identifying Metric Structures of Deep Latent Variable Models
di: Syrota, Stas, et al.
Pubblicazione: (2025)

Comparing statistical and deep learning techniques for parameter estimation of continuous-time stochastic differentiable equations
di: Sankoh, Aroon, et al.
Pubblicazione: (2025)

Influence branching for learning to solve mixed-integer programs online
di: Strang, Paul, et al.
Pubblicazione: (2025)

Quantum parameter estimation with uncertainty quantification from continuous measurement data using neural network ensembles
di: Anteneh, Amanuel
Pubblicazione: (2025)

Order parameters and phase transitions of continual learning in deep neural networks
di: Shan, Haozhe, et al.
Pubblicazione: (2024)

Consistency of Selection Strategies for Fraud Detection
di: Revelas, Christos, et al.
Pubblicazione: (2025)

When does Subagging Work?
di: Revelas, Christos, et al.
Pubblicazione: (2024)

Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
di: Chung, Matthias, et al.
Pubblicazione: (2025)

CN-SBM: Categorical Block Modelling For Primary and Residual Copy Number Variation
di: Lam, Kevin, et al.
Pubblicazione: (2025)

How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
di: Trinci, Tomaso, et al.
Pubblicazione: (2024)

Artificial intelligence for methane detection: from continuous monitoring to verified mitigation
di: Mateo-Garcia, Gonzalo, et al.
Pubblicazione: (2025)

Buffered AUC maximization for scoring systems via mixed-integer optimization
di: Shiina, Moe, et al.
Pubblicazione: (2026)

Latent Space Inference via Paired Autoencoders
di: Hart, Emma, et al.
Pubblicazione: (2026)

Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem
di: Gonzalo, Valdes
Pubblicazione: (2024)

Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
di: Kamoutsi, Angeliki, et al.
Pubblicazione: (2024)

Detecting and Preventing Hallucinations in Large Vision Language Models
di: Gunjal, Anisha, et al.
Pubblicazione: (2023)

Can neural operators always be continuously discretized?
di: Furuya, Takashi, et al.
Pubblicazione: (2024)

Bayesian continual learning and forgetting in neural networks
di: Bonnet, Djohan, et al.
Pubblicazione: (2025)

Real-valued continued fraction of straight lines
di: S, Vijay Prakash
Pubblicazione: (2024)

Convex mixed-integer optimization with Frank-Wolfe methods
di: Hendrych, Deborah, et al.
Pubblicazione: (2022)

Randomization Tests for Conditional Group Symmetry
di: Chiu, Kenny, et al.
Pubblicazione: (2024)

Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
di: Bas, Sumeyye, et al.
Pubblicazione: (2025)

Inter-environmental world modeling for continuous and compositional dynamics
di: Hayashi, Kohei, et al.
Pubblicazione: (2025)

A tree-based kernel for graphs with continuous attributes
di: Martino, Giovanni Da San, et al.
Pubblicazione: (2015)

Position: Lifetime tuning is incompatible with continual reinforcement learning
di: Mesbahi, Golnaz, et al.
Pubblicazione: (2024)

Task agnostic continual learning with Pairwise layer architecture
di: Keskinen, Santtu
Pubblicazione: (2024)

AdditiveLLM: Large Language Models Predict Defects in Additive Manufacturing
di: Pak, Peter, et al.
Pubblicazione: (2025)

Learning-augmented smooth integer programs with PAC-learnable oracles
di: He, Hao-Yuan, et al.
Pubblicazione: (2026)