:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Honoré, Antoine, Xiao, Ming
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.16069
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Matrix Variational Auto-Encoder for Variant Effect Prediction in Pharmacogenes
by: Honoré, Antoine, et al.
Published: (2025)

DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup
by: Ghosh, Anubhab, et al.
Published: (2023)

Operator Flow Matching for Timeseries Forecasting
by: Lee, Yolanne Yi Ran, et al.
Published: (2025)

There is No "apple" in Timeseries: Rethinking TSFM through the Lens of Invariance
by: Prabowo, Arian, et al.
Published: (2025)

Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel
by: Maddi, Aadyaa, et al.
Published: (2026)

Fine-tuning Timeseries Predictors Using Reinforcement Learning
by: Cazaux, Hugo, et al.
Published: (2026)

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics
by: Prabowo, Arian, et al.
Published: (2024)

Comparing Prior and Learned Time Representations in Transformer Models of Timeseries
by: Koliou, Natalia, et al.
Published: (2024)

Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns
by: De Rosa, Pasquale, et al.
Published: (2024)

Causality by Abstraction: Symbolic Rule Learning in Multivariate Timeseries with Large Language Models
by: Biswas, Preetom, et al.
Published: (2026)

Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition
by: Bouchabou, Damien, et al.
Published: (2024)

Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
by: Graser, Anita
Published: (2025)

Balancing Symmetry and Efficiency in Graph Flow Matching
by: Honoré, Benjamin, et al.
Published: (2026)

maneuverRecognition -- A Python package for Timeseries Classification in the domain of Vehicle Telematics
by: Schuster, Jonathan, et al.
Published: (2025)

Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage
by: Taleb, Faiz, et al.
Published: (2026)

S2DEVFMAP: Self-Supervised Learning Framework with Dual Ensemble Voting Fusion for Maximizing Anomaly Prediction in Timeseries
by: Naidu, Sarala, et al.
Published: (2024)

Enhancing compact convolutional transformers with super attention
by: Leandre, Simpenzwe Honore, et al.
Published: (2025)

Causal Discovery for Irregularly Time Series with Consistency Guarantees
by: Li, Weihong, et al.
Published: (2025)

On the Generalization Ability of Unsupervised Pretraining
by: Deng, Yuyang, et al.
Published: (2024)

Limits of Generative Pre-Training in Structured EMR Trajectories with Irregular Sampling
by: Kuo, Nicholas I-Hsien, et al.
Published: (2025)

TSGM: Regular and Irregular Time-series Generation using Score-based Generative Models
by: Lim, Haksoo, et al.
Published: (2025)

Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima
by: Chen, Huanran, et al.
Published: (2026)

SurF: A Generative Model for Multivariate Irregular Time Series Forecasting
by: Rezaei, Mohammad R., et al.
Published: (2026)

DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
by: Bock, Marius, et al.
Published: (2025)

Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
by: Naiman, Ilan, et al.
Published: (2023)

Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
by: Chen, Panqi, et al.
Published: (2025)

Revisiting Multilingual Data Mixtures in Language Model Pretraining
by: Foroutan, Negar, et al.
Published: (2025)

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
by: Bayazit, Deniz, et al.
Published: (2023)

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
by: Bayazit, Deniz, et al.
Published: (2025)

BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI
by: Shiferaw, Natenaile Asmamaw, et al.
Published: (2024)

General Intelligence Requires Reward-based Pretraining
by: Han, Seungwook, et al.
Published: (2025)

Dual-Label Learning With Irregularly Present Labels
by: Li, Mingqian, et al.
Published: (2024)

A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
by: Fadlon, Gal, et al.
Published: (2025)

Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
by: Xue, Shuchen, et al.
Published: (2025)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
by: Xiao, Tingsong, et al.
Published: (2024)

Probabilistic Circuits for Irregular Multivariate Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2026)

Valid and Expressive Copulas for Irregular Multivariate Time Series
by: Klötergens, Christian, et al.
Published: (2026)

Generative Pretrained Hierarchical Transformer for Time Series Forecasting
by: Liu, Zhiding, et al.
Published: (2024)

Pretraining Scaling Laws for Generative Evaluations of Language Models
by: Schaeffer, Rylan, et al.
Published: (2025)

Safety Pretraining: Toward the Next Generation of Safe AI
by: Maini, Pratyush, et al.
Published: (2025)