StijnVerdenius / Lat-PFN
This work introduces LaT-PFN, a novel time series model that combines PFN and JEPA frameworks to generate zero-shot forecasts efficiently, using a versatile latent space that enables adaptable time granularity and superior predictive performance.
☆14Updated 9 months ago
Alternatives and similar repositories for Lat-PFN:
Users that are interested in Lat-PFN are comparing it to the libraries listed below
- Conformal Prediction for Time Series with Modern Hopfield Networks☆77Updated last year
- Official implementation of the ICML 2023 work "Sequential Predictive Conformal Inference"☆30Updated 9 months ago
- Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)☆17Updated 9 months ago
- ☆12Updated 2 years ago
- Official repo to paper☆12Updated 2 years ago
- ☆25Updated 10 months ago
- ☆60Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 5 months ago
- ☆75Updated last year
- Code for paper "Copula-based conformal prediction for Multi-Target Regression"☆33Updated 4 years ago
- ☆19Updated last year
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆35Updated 3 months ago
- Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"☆29Updated 7 months ago
- This repository contains the experiments related to a new and accurate tree-based global forecasting algorithm named, SETAR-Tree.☆21Updated last year
- ☆17Updated last year
- Valid and adaptive prediction intervals for probabilistic time series forecasting.☆93Updated last month
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- ☆65Updated last year
- ☆48Updated 3 months ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆116Updated last year
- ☆32Updated 9 months ago
- The code for TFPS☆22Updated 5 months ago
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆31Updated 9 months ago
- Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).☆12Updated 2 months ago
- The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.☆13Updated last month
- Code for Copula conformal prediction paper (ICLR 2024)☆29Updated 7 months ago
- Official PyTorch implementation of OTiS: An open model for general time series analysis.☆13Updated last week
- Codebase for CIKM '24 paper -- General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecas…☆44Updated 6 months ago
- Conformal prediction for time-series applications.☆114Updated last year