Alex Open Research Wiki
Search
Search
Dark mode
Light mode
Explorer
Tag: forecasting
44 items with this tag.
May 20, 2026
High-Dimensional Time Series Forecasting
time-series
forecasting
high-dimensional
multivariate
May 18, 2026
Context is Key
entity
dataset
benchmark
time-series
forecasting
text-conditioned-time-series
May 18, 2026
GIFT-Eval
entity
dataset
benchmark
time-series
forecasting
May 18, 2026
Moirai
entity
time-series
forecasting
May 18, 2026
Sundial
entity
time-series
foundation-models
forecasting
flow-matching
May 18, 2026
TIME Benchmark
entity
dataset
benchmark
time-series
forecasting
May 18, 2026
Time-Series-Library
entity
dataset
benchmark
time-series
forecasting
May 18, 2026
TimesFM
entity
time-series
forecasting
foundation-models
May 18, 2026
Tiny Time Mixers
entity
time-series
forecasting
foundation-models
May 18, 2026
TSMixer
entity
time-series
forecasting
mlp-mixer
May 18, 2026
Chronos-2: From Univariate to Universal Forecasting
time-series
foundation-models
forecasting
in-context-learning
synthetic-data
May 18, 2026
Context is Key: A Benchmark for Forecasting with Essential Textual Information
time-series
forecasting
text-conditioned-time-series
benchmark
May 18, 2026
EIDOS: Latent-Space Predictive Learning For Time Series Foundation Models
time-series
latent-space
forecasting
number-tokenization
May 18, 2026
Exploring Large Models for Time Series
time-series
foundation-models
forecasting
presentation
May 18, 2026
FlowState: Sampling Rate Invariant Time Series Forecasting
time-series
forecasting
continuous-time
May 18, 2026
GIFT-Eval: General Time Series Forecasting Model Evaluation
dataset
benchmark
time-series
forecasting
May 18, 2026
ICLR 2026 Time-Series Classification Meta-Analysis
time-series
representation-learning
forecasting
iclr-2026
field-map
May 18, 2026
Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models
time-series
foundation-models
forecasting
adaptive-tokenization
May 18, 2026
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
time-series
multivariate
forecasting
channel-dependence
May 18, 2026
Moirai 2.0: When Less Is More for Time Series Forecasting
time-series
foundation-models
forecasting
probabilistic-forecasting
May 18, 2026
Unified Training of Universal Time Series Forecasting Transformers
time-series
foundation-models
forecasting
probabilistic-forecasting
May 18, 2026
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
time-series
foundation-models
forecasting
mixture-of-experts
May 18, 2026
Dynamic Tokenization Via Reinforcement Patching: End-to-end Training And Zero-shot Transfer
time-series
tokenization
patching
forecasting
May 18, 2026
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
time-series
foundation-models
forecasting
linear-rnns
synthetic-data
May 18, 2026
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
time-series
recurrent-models
forecasting
efficiency
May 18, 2026
Scaling Law for Time Series Forecasting
time-series
forecasting
scaling-laws
theory
May 18, 2026
Scaling-laws for Large Time-series Models
time-series
foundation-models
scaling-laws
forecasting
May 18, 2026
Sundial: A Family of Highly Capable Time Series Foundation Models
time-series
foundation-models
forecasting
generative-modeling
flow-matching
May 18, 2026
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
time-series
foundation-models
forecasting
synthetic-data
linear-rnns
May 18, 2026
TIME Benchmark
dataset
benchmark
time-series
forecasting
May 18, 2026
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
time-series
foundation-models
forecasting
mixture-of-experts
May 18, 2026
Time Series Forecasting Using Manifold Learning
time-series
forecasting
manifold-learning
latent-space
May 18, 2026
Time-Series-Library Benchmark Collection
dataset
benchmark
time-series
forecasting
May 18, 2026
Timer: Generative Pre-trained Transformers Are Large Time Series Models
time-series
foundation-models
forecasting
generative-modeling
May 18, 2026
A decoder-only foundation model for time-series forecasting
time-series
foundation-models
forecasting
decoder-only
May 18, 2026
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
time-series
foundation-models
forecasting
multivariate-time-series
May 18, 2026
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
time-series
forecasting
foundation-models
May 18, 2026
Toto 2.0: Time series forecasting enters the scaling era
time-series
foundation-models
forecasting
observability
scaling
May 18, 2026
Toto 2.0 TSALM Workshop Presentation
time-series
foundation-models
forecasting
observability
scaling
question-answering
benchmark
presentation
May 18, 2026
This Time is Different: An Observability Perspective on Time Series Foundation Models
time-series
foundation-models
forecasting
observability
May 18, 2026
TSMixer: An All-MLP Architecture for Time Series Forecasting
time-series
forecasting
mlp-mixer
multivariate-time-series
May 18, 2026
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
time-series
forecasting
high-dimensional
multivariate
benchmarks
May 18, 2026
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
time-series
forecasting
llms
text-conditioned-time-series
May 18, 2026
Context-Aided Forecasting
time-series
forecasting
text-conditioned-time-series
context