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.
☆12Updated 6 months ago
Alternatives and similar repositories for Lat-PFN:
Users that are interested in Lat-PFN are comparing it to the libraries listed below
- ☆70Updated 11 months ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆107Updated last year
- Conformal Prediction for Time Series with Modern Hopfield Networks☆74Updated last year
- ☆20Updated 10 months ago
- Conformal prediction for time-series applications.☆107Updated last year
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆71Updated 3 months ago
- Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)☆15Updated 7 months ago
- ☆21Updated 7 months ago
- TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research☆133Updated 9 months ago
- GluonTS - Probabilistic Time Series Modeling in Python☆51Updated 3 years ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated last year
- ☆9Updated last year
- ☆12Updated last year
- Official implementation of the ICML 2023 work "Sequential Predictive Conformal Inference"☆26Updated 7 months ago
- ☆60Updated last year
- Codebase for CIKM '24 paper -- General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecas…☆42Updated 4 months ago
- Causal Neural Nerwork☆93Updated 10 months ago
- Valid and adaptive prediction intervals for probabilistic time series forecasting☆88Updated 2 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆20Updated this week
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆110Updated 6 months ago
- Context is Key: A Benchmark for Forecasting with Essential Textual Information☆45Updated 2 weeks ago
- Implementation of the InterpretTime framework☆43Updated last year
- ☆72Updated this week
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆76Updated last year
- ☆29Updated 6 months ago
- ☆97Updated 2 years ago
- ☆54Updated 2 years ago
- An extension of Py-Boost to probabilistic modelling☆21Updated 2 years ago