LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
Fuente:
arXiv
Guardado en:
| Autores principales: | Verdenius, Stijn, Zerio, Andrea, Wang, Roy L. M. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
por: Kinjo, Keita
Publicado: (2025)
por: Kinjo, Keita
Publicado: (2025)
Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting
por: Mysore, Naveen
Publicado: (2026)
por: Mysore, Naveen
Publicado: (2026)
Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
por: Saqur, Raeid, et al.
Publicado: (2026)
por: Saqur, Raeid, et al.
Publicado: (2026)
ProactBench: Beyond What The User Asked For
por: Harfi, Sepehr, et al.
Publicado: (2026)
por: Harfi, Sepehr, et al.
Publicado: (2026)
Conformal Prediction Sets for Next-Token Prediction in Large Language Models: Balancing Coverage Guarantees with Set Efficiency
por: Kotla, Yoshith Roy, et al.
Publicado: (2025)
por: Kotla, Yoshith Roy, et al.
Publicado: (2025)
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
por: Ilbert, Romain, et al.
Publicado: (2023)
por: Ilbert, Romain, et al.
Publicado: (2023)
Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning
por: Meulemans, Alexander, et al.
Publicado: (2025)
por: Meulemans, Alexander, et al.
Publicado: (2025)
Cross-Domain Uncertainty Quantification for Selective Prediction: A Comprehensive Bound Ablation with Transfer-Informed Betting
por: Basu, Abhinaba
Publicado: (2026)
por: Basu, Abhinaba
Publicado: (2026)
The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning
por: Rajput, Vishal
Publicado: (2026)
por: Rajput, Vishal
Publicado: (2026)
Can a Bayesian Oracle Prevent Harm from an Agent?
por: Bengio, Yoshua, et al.
Publicado: (2024)
por: Bengio, Yoshua, et al.
Publicado: (2024)
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
por: He, Hui, et al.
Publicado: (2024)
por: He, Hui, et al.
Publicado: (2024)
Lightweight Defense Against Adversarial Attacks in Time Series Classification
por: Han, Yi
Publicado: (2025)
por: Han, Yi
Publicado: (2025)
Prediction-Based Markov Violation Scores for Detecting Non-Markovian Observations in Reinforcement Learning
por: Mysore, Naveen
Publicado: (2026)
por: Mysore, Naveen
Publicado: (2026)
Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation
por: Liu, Jun, et al.
Publicado: (2026)
por: Liu, Jun, et al.
Publicado: (2026)
Less is More: Strategic Expert Selection Outperforms Ensemble Complexity in Traffic Forecasting
por: Guettala, Walid, et al.
Publicado: (2025)
por: Guettala, Walid, et al.
Publicado: (2025)
The Six Sigma Agent: Achieving Enterprise-Grade Reliability in LLM Systems Through Consensus-Driven Decomposed Execution
por: Patel, Khush, et al.
Publicado: (2026)
por: Patel, Khush, et al.
Publicado: (2026)
Reliable Grid Forecasting: State Space Models for Safety-Critical Energy Systems
por: Hong, Sunki, et al.
Publicado: (2026)
por: Hong, Sunki, et al.
Publicado: (2026)
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
por: Wan, Shu, et al.
Publicado: (2026)
por: Wan, Shu, et al.
Publicado: (2026)
DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
por: Mysore, Naveen
Publicado: (2026)
por: Mysore, Naveen
Publicado: (2026)
Urban Spatio-Temporal Foundation Models for Climate-Resilient Housing: Scaling Diffusion Transformers for Disaster Risk Prediction
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026)
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026)
Causal Direction from Convergence Time: Faster Training in the True Causal Direction
por: Tamim, Abdulrahman
Publicado: (2026)
por: Tamim, Abdulrahman
Publicado: (2026)
An Agent-Based Modeling Approach to Free-Text Keyboard Dynamics for Continuous Authentication
por: Dillon, Roberto, et al.
Publicado: (2025)
por: Dillon, Roberto, et al.
Publicado: (2025)
Geometric Metrics for MoE Specialization: From Fisher Information to Early Failure Detection
por: Guo, Dongxin, et al.
Publicado: (2026)
por: Guo, Dongxin, et al.
Publicado: (2026)
No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
por: Fokoué, Ernest
Publicado: (2025)
por: Fokoué, Ernest
Publicado: (2025)
CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data
por: Cheohen, Caio, et al.
Publicado: (2025)
por: Cheohen, Caio, et al.
Publicado: (2025)
Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
por: Abedinia, Aydin, et al.
Publicado: (2025)
por: Abedinia, Aydin, et al.
Publicado: (2025)
Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation
por: Lafrance, Julien, et al.
Publicado: (2026)
por: Lafrance, Julien, et al.
Publicado: (2026)
Feature Selection and Regularization in Multi-Class Classification: An Empirical Study of One-vs-Rest Logistic Regression with Gradient Descent Optimization and L1 Sparsity Constraints
por: Arafat, Jahidul, et al.
Publicado: (2025)
por: Arafat, Jahidul, et al.
Publicado: (2025)
Dynamical Predictive Modelling of Cardiovascular Disease Progression Post-Myocardial Infarction via ECG-Trained Artificial Intelligence Model
por: Cavarra, Riccardo, et al.
Publicado: (2026)
por: Cavarra, Riccardo, et al.
Publicado: (2026)
The Price of Progress: Price Performance and the Future of AI
por: Gundlach, Hans, et al.
Publicado: (2025)
por: Gundlach, Hans, et al.
Publicado: (2025)
When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth
por: Guo, Dongxin, et al.
Publicado: (2026)
por: Guo, Dongxin, et al.
Publicado: (2026)
Multi-Level Fusion Graph Neural Network for Molecule Property Prediction
por: Liu, XiaYu, et al.
Publicado: (2025)
por: Liu, XiaYu, et al.
Publicado: (2025)
Text Clustering with Large Language Model Embeddings
por: Petukhova, Alina, et al.
Publicado: (2024)
por: Petukhova, Alina, et al.
Publicado: (2024)
Predicting Traffic Accident Severity with Deep Neural Networks
por: Bibb, Meghan, et al.
Publicado: (2025)
por: Bibb, Meghan, et al.
Publicado: (2025)
I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning
por: Alege, Aliyu Agboola
Publicado: (2026)
por: Alege, Aliyu Agboola
Publicado: (2026)
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks
por: Qu, Xiran, et al.
Publicado: (2023)
por: Qu, Xiran, et al.
Publicado: (2023)
HierCVAE: Hierarchical Attention-Driven Conditional Variational Autoencoders for Multi-Scale Temporal Modeling
por: Wu, Yao
Publicado: (2025)
por: Wu, Yao
Publicado: (2025)
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
por: Helli, Kai, et al.
Publicado: (2024)
por: Helli, Kai, et al.
Publicado: (2024)
Forecasting Anomaly Precursors via Uncertainty-Aware Time-Series Ensembles
por: Kang, Hyeongwon, et al.
Publicado: (2026)
por: Kang, Hyeongwon, et al.
Publicado: (2026)
Signature-Kernel Based Evaluation Metrics for Robust Probabilistic and Tail-Event Forecasting
por: Redhead, Benjamin R., et al.
Publicado: (2026)
por: Redhead, Benjamin R., et al.
Publicado: (2026)
Ejemplares similares
-
Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
por: Kinjo, Keita
Publicado: (2025) -
Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting
por: Mysore, Naveen
Publicado: (2026) -
Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
por: Saqur, Raeid, et al.
Publicado: (2026) -
ProactBench: Beyond What The User Asked For
por: Harfi, Sepehr, et al.
Publicado: (2026) -
Conformal Prediction Sets for Next-Token Prediction in Large Language Models: Balancing Coverage Guarantees with Set Efficiency
por: Kotla, Yoshith Roy, et al.
Publicado: (2025)