Alex Open Research Wiki

Tag: time-series

188 items with this tag.

Jul 13, 2026
SensorFM
Jul 13, 2026
Towards a General Intelligence and Interface for Wearable Health Data
Jul 13, 2026
Action-Conditioned Time-Series Datasets
Jul 13, 2026
Foundation Time-Series Model Research Agenda
Jul 13, 2026
Robotics Time-Series Modeling
Jul 13, 2026
Time-Series Generation
Jul 12, 2026
Probabilistic JEPA Predictor Using Flow Matching
Jul 10, 2026
Latent-State Time-Series Modeling
Jul 10, 2026
Time-Series Benchmark Hygiene
Jul 10, 2026
Time-Series Classification Foundation Models
Jul 10, 2026
Time-Series Foundation Models
- time-series
- foundation-models
Jul 10, 2026
Time-Series Scaling And Efficiency
Jul 03, 2026
LeNEPA
Jul 03, 2026
LeNEPA
Jul 03, 2026
TSL-JEPA
Jul 03, 2026
LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning
Jul 03, 2026
Next-Embedding Prediction
Jul 02, 2026
Aionoscope
Jul 02, 2026
Aionoscope Manifold Reconstruction Benchmark
Jul 02, 2026
Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations
Jul 02, 2026
Synthetic Data For Time Series
- synthetic-data
- time-series
Jul 01, 2026
Streaming Latent-State Updates
Jun 30, 2026
Hierarchical Modeling with a Fixed FLOPs Budget
Jun 30, 2026
Extra-Long Context For Time Series
Jun 26, 2026
Rank And Flow Methods
Jun 23, 2026
ChronoGraph
Jun 23, 2026
Kubernetes OTEL Control Gym
Jun 23, 2026
LLM Agents Need Action-Conditioned World Models
Jun 23, 2026
Graph Structure As Transformer Context
Jun 23, 2026
Observability Time Series
Jun 22, 2026
High-Dimensional Time Series Forecasting
Jun 20, 2026
Dynamic Curriculum Learning For JEPA
Jun 20, 2026
Fast/Slow Thinking For Robotics And Time Series
Jun 17, 2026
TimeOmni-1: Incentivizing Complex Reasoning With Time Series In Large Language Models
Jun 15, 2026
BRIDGE
Jun 15, 2026
CaTSG
Jun 15, 2026
Diff-MN
Jun 15, 2026
MG-TSD
Jun 15, 2026
MIRA
Jun 15, 2026
OATS
Jun 15, 2026
TarDiff
Jun 15, 2026
TimeCraft
Jun 15, 2026
TimeDP
Jun 15, 2026
TimeRAF
Jun 15, 2026
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
Jun 15, 2026
Causal Time Series Generation via Diffusion Models
Jun 15, 2026
Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations
Jun 15, 2026
Controllable Financial Market Generation with Diffusion Guided Meta Agent
Jun 15, 2026
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
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
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
Jun 15, 2026
TimeCraft: A Time Series Generation Framework for Real-World Applications
Jun 15, 2026
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
Jun 15, 2026
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
Jun 15, 2026
Causal Time Series
- time-series
- causality
Jun 15, 2026
Context-Aided Forecasting
Jun 15, 2026
Iterative Dataset Bootstrapping
Jun 14, 2026
L2RPN / Grid2Op
Jun 14, 2026
Active Power Correction Strategies Based on Deep Reinforcement Learning--Part II: A Distributed Solution for Adaptability
Jun 14, 2026
Adversarial Training for a Continuous Robustness Control Problem in Power Systems
Jun 14, 2026
Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption
Jun 14, 2026
Expert System for topological remedial action discovery in smart grids
Jun 14, 2026
Graph Neural Solver for Power Systems
Jun 14, 2026
Exploring grid topology reconfiguration using a simple deep reinforcement learning approach
Jun 14, 2026
Fast Power system security analysis with Guided Dropout
Jun 14, 2026
Guided Machine Learning for power grid segmentation
Jun 14, 2026
Learning to run a Power Network Challenge: a Retrospective Analysis
Jun 14, 2026
Learning to run a power network challenge for training topology controllers
Jun 14, 2026
LEAP nets for power grid perturbations
Jun 14, 2026
LEAP Nets for System Identification and Application to Power Systems
Jun 14, 2026
AI-Based Autonomous Line Flow Control via Topology Adjustment for Maximizing Time-Series ATCs
Jun 14, 2026
Introducing machine learning for power system operation support
Jun 14, 2026
Neural Networks for Power Flow: Graph Neural Solver
Jun 14, 2026
Power Grid Congestion Management via Topology Optimization with AlphaZero
Jun 14, 2026
Anticipating contingengies in power grids using fast neural net screening
Jun 14, 2026
Optimization of computational budget for power system risk assessment
Jun 14, 2026
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
Jun 13, 2026
Awesome Agentic Time Series
Jun 09, 2026
CityLearn
Jun 09, 2026
NeoRL-2
Jun 09, 2026
Tennessee Eastman Process Simulation Data
Jun 09, 2026
CityLearn
Jun 09, 2026
NeoRL-2
Jun 09, 2026
Additional Tennessee Eastman Process Simulation Data
Jun 04, 2026
Kubernetes OTEL Control Minimal Demo
Jun 04, 2026
ChronoGraph: A Real-World Graph-Based Multivariate Time Series Dataset
Jun 04, 2026
Terminology
May 21, 2026
RWKV-TS
May 18, 2026
BOOM
May 18, 2026
CHARM
May 18, 2026
ChatTS
- entity
- time-series
May 18, 2026
Context is Key
May 18, 2026
EIDOS
- entity
- time-series
May 18, 2026
FlowState
- entity
- time-series
May 18, 2026
GIFT-Eval
May 18, 2026
Mantis
May 18, 2026
Moirai
May 18, 2026
ReinPatch
May 18, 2026
SimMTM
May 18, 2026
Sundial
May 18, 2026
T2S
May 18, 2026
TelecomTS
May 18, 2026
TIME Benchmark
May 18, 2026
Time-HD
May 18, 2026
Time-Series-Library
May 18, 2026
TimeOmni-1
- entity
- time-series
May 18, 2026
TimeOmni-VL
May 18, 2026
TimesFM
May 18, 2026
Tiny Time Mixers
May 18, 2026
Toto
May 18, 2026
TS2Vec
May 18, 2026
TSMixer
May 18, 2026
UniTS
May 18, 2026
AmsterdamUMCdb
May 18, 2026
ASSISTments 2009-2010 Data
May 18, 2026
BOOM: Benchmark of Observability Metrics
May 18, 2026
CauKer: Classification Time Series Foundation Models Can Be Pretrained On Synthetic Data Only
May 18, 2026
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology
May 18, 2026
Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions
May 18, 2026
ChatTS: Aligning Time Series With LLMs Via Synthetic Data For Enhanced Understanding And Reasoning
May 18, 2026
What's Wrong With The Current Time-Series Deep Learning?
May 18, 2026
Chronos-2: From Univariate to Universal Forecasting
May 18, 2026
Context is Key: A Benchmark for Forecasting with Essential Textual Information
May 18, 2026
Criteo Uplift Prediction Dataset
May 18, 2026
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
May 18, 2026
EdNet: A Large-Scale Hierarchical Dataset in Education
May 18, 2026
eICU Collaborative Research Database
May 18, 2026
EIDOS: Latent-Space Predictive Learning For Time Series Foundation Models
May 18, 2026
Exploring Large Models for Time Series
May 18, 2026
Understanding Transformers For Time Series: Rank Structure, Flow-Of-Ranks, And Compressibility
May 18, 2026
FlowState: Sampling Rate Invariant Time Series Forecasting
May 18, 2026
GIFT-Eval: General Time Series Forecasting Model Evaluation
May 18, 2026
HeartSteps Micro-Randomized Trial
May 18, 2026
HiRID High Time-Resolution ICU Dataset
May 18, 2026
ICLR 2026 Time-Series Classification Meta-Analysis
May 18, 2026
Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models
May 18, 2026
KDD Cup 2010 Student Performance Evaluation Dataset
May 18, 2026
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
May 18, 2026
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
May 18, 2026
Position: What Can Large Language Models Tell Us about Time Series Analysis
May 18, 2026
Mantis: Lightweight Calibrated Foundation Model For User-Friendly Time Series Classification
May 18, 2026
MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies
May 18, 2026
MIMIC-IV Clinical Database
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
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
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
OhioT1DM Dataset
May 18, 2026
PSLC DataShop
May 18, 2026
Dynamic Tokenization Via Reinforcement Patching: End-to-end Training And Zero-shot Transfer
May 18, 2026
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
May 18, 2026
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
May 18, 2026
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
May 18, 2026
Scaling Law for Time Series Forecasting
May 18, 2026
Scaling-laws for Large Time-series Models
May 18, 2026
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
May 18, 2026
Sundial: A Family of Highly Capable Time Series Foundation Models
May 18, 2026
Unsupervised Scalable Representation Learning for Multivariate Time Series
May 18, 2026
T-Rep: Representation Learning for Time Series using Time-Embeddings
May 18, 2026
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
May 18, 2026
TabPFN-3: Technical Report
May 18, 2026
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
May 18, 2026
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
May 18, 2026
TIME Benchmark
May 18, 2026
Time-HD High-Dimensional Time Series Forecasting Benchmark
May 18, 2026
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
May 18, 2026
Time Series Forecasting Using Manifold Learning
May 18, 2026
Time-Series-Library Benchmark Collection
May 18, 2026
TimeOmni-VL: Unified Models For Time Series Understanding And Generation
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
Titans: Learning to Memorize at Test Time
May 18, 2026
Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model
May 18, 2026
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
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
TS2Vec: Towards Universal Representation of Time Series
May 18, 2026
TSMixer: An All-MLP Architecture for Time Series Forecasting
May 18, 2026
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
May 18, 2026
A Unified Shape-Aware Foundation Model for Time Series Classification
May 18, 2026
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
May 18, 2026
UniTS: A Unified Multi-Task Time Series Model
May 18, 2026
UTICA: Multi-Objective Self-Distillation Foundation Model Pretraining for Time Series Classification

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