Alex Open Research Wiki

Tag: foundation-models

53 items with this tag.

Sep 09, 2026
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Sep 09, 2026
Foundation Time-Series Model Research Agenda
Aug 13, 2026
Concept–Residual Expansion For Time Series
Aug 13, 2026
Time-Series Foundation Models
- time-series
- foundation-models
Aug 12, 2026
Graph Tokenization for Bridging Graphs and Transformers
Aug 12, 2026
GraphGPT: Generative Pre-trained Graph Eulerian Transformer
Aug 11, 2026
Sundial: A Family of Highly Capable Time Series Foundation Models
Aug 11, 2026
Latent-State Time-Series Modeling
Aug 11, 2026
Time-Series Generation
Aug 09, 2026
LimiX
Aug 09, 2026
Chronos-2: From Univariate to Universal Forecasting
Aug 09, 2026
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
Aug 09, 2026
LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models
Aug 09, 2026
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
Aug 09, 2026
Accurate predictions on small data with a tabular foundation model
Aug 09, 2026
Tabular Foundation Models
Jul 19, 2026
Vision Foundation Models
- vision
- foundation-models
Jul 13, 2026
Towards a General Intelligence and Interface for Wearable Health Data
Jul 12, 2026
nanoTabPFN_looped
Jul 12, 2026
Is One Layer Enough? Understanding Inference Dynamics in Tabular Foundation Models
Jun 15, 2026
MIRA
Jun 15, 2026
OATS
Jun 15, 2026
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
Jun 15, 2026
MIRA: Medical Time Series Foundation Model for Real-World Health Data
Jun 15, 2026
OATS: Online Data Augmentation for Time Series Foundation Models
Jun 15, 2026
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
May 18, 2026
Sundial
May 18, 2026
TimesFM
May 18, 2026
Tiny Time Mixers
May 18, 2026
UniTS
May 18, 2026
Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions
May 18, 2026
What's Wrong With The Current Time-Series Deep Learning?
May 18, 2026
Exploring Large Models for Time Series
May 18, 2026
Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models
May 18, 2026
Mantis: Lightweight Calibrated Foundation Model For User-Friendly Time Series Classification
May 18, 2026
Moirai 2.0: When Less Is More for Time Series Forecasting
May 18, 2026
Unified Training of Universal Time Series Forecasting Transformers
May 18, 2026
MOMENT: A Family of Open Time-series Foundation Models
May 18, 2026
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining
May 18, 2026
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
May 18, 2026
Scaling-laws for Large Time-series Models
May 18, 2026
TabPFN-3: Technical Report
May 18, 2026
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
May 18, 2026
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
May 18, 2026
Timer: Generative Pre-trained Transformers Are Large Time Series Models
May 18, 2026
A decoder-only foundation model for time-series forecasting
May 18, 2026
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
May 18, 2026
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
May 18, 2026
Toto 2.0: Time series forecasting enters the scaling era
May 18, 2026
Toto 2.0 TSALM Workshop Presentation
May 18, 2026
This Time is Different: An Observability Perspective on Time Series Foundation Models
May 18, 2026
A Unified Shape-Aware Foundation Model for Time Series Classification
May 18, 2026
UniTS: A Unified Multi-Task Time Series Model

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