:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Haque, Md Rakibul, Goudar, Vishwa, Elhabian, Shireen, Pettine, Warren Woodrich
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.11413
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assessing Foundation Models' Transferability to Physiological Signals in Precision Medicine
by: Christenson, Matthias, et al.
Published: (2024)

Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
by: Adams, Jadie, et al.
Published: (2024)

Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud
by: Adams, Jadie, et al.
Published: (2023)

MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs
by: Haque, Md Rakibul, et al.
Published: (2026)

LEDA: Log-Euclidean Diffeomorphism Autoencoder for Efficient Statistical Analysis of Diffeomorphisms
by: Iyer, Krithika, et al.
Published: (2024)

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
by: Ahamed, Md Atik, et al.
Published: (2024)

Integrating Inductive Biases in Transformers via Distillation for Financial Time Series Forecasting
by: Den, Yu-Chen, et al.
Published: (2026)

MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration
by: Karanam, Mokshagna Sai Teja, et al.
Published: (2025)

Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?
by: Abdelmalak, Ibram, et al.
Published: (2025)

TempusBench: An Evaluation Framework for Time-Series Forecasting
by: Goktas, Denizalp, et al.
Published: (2026)

Reasoning-Aware Training for Time Series Forecasting
by: Ahamed, Md Atik, et al.
Published: (2026)

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
by: Kowsher, Md, et al.
Published: (2024)

Global and Local Topology-Aware Attention with Persistent Homology and Euler Biases for Time-Series Forecasting
by: Faghihi, Usef, et al.
Published: (2026)

TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
by: Lee, Jaebin, et al.
Published: (2025)

Nexus : An Agentic Framework for Time Series Forecasting
by: Das, Sarkar Snigdha Sarathi, et al.
Published: (2026)

Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2026)

WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
by: Murad, Md Mahmuddun Nabi, et al.
Published: (2024)

Data Augmentation in Time Series Forecasting through Inverted Framework
by: Tan, Hongming, et al.
Published: (2025)

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2024)

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting
by: Pang, Yining, et al.
Published: (2024)

Recency Biased Causal Attention for Time-series Forecasting
by: Hegazy, Kareem, et al.
Published: (2025)

A Practical SAFE-AI Framework for Small and Medium-Sized Enterprises Developing Medical Artificial Intelligence Ethics Policies
by: Nemteanu, Ion, et al.
Published: (2025)

TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
by: Xia, Mingyuan, et al.
Published: (2025)

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
by: Yang, Runze, et al.
Published: (2025)

TimeFound: A Foundation Model for Time Series Forecasting
by: Xiao, Congxi, et al.
Published: (2025)

ForecastGAN: A Decomposition-Based Adversarial Framework for Multi-Horizon Time Series Forecasting
by: Fatima, Syeda Sitara Wishal, et al.
Published: (2025)

FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time
by: Jobayer, Md, et al.
Published: (2024)

EasyTime: Time Series Forecasting Made Easy
by: Qiu, Xiangfei, et al.
Published: (2024)

Test Time Learning for Time Series Forecasting
by: Christou, Panayiotis, et al.
Published: (2024)

TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting
by: Liu, Bowen, et al.
Published: (2026)

CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
by: Wang, Xiaorui, et al.
Published: (2026)

UniDiff: A Unified Diffusion Framework for Multimodal Time Series Forecasting
by: Zhang, Da, et al.
Published: (2025)

MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications
by: Xin, Ning, et al.
Published: (2025)

Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification
by: Zhang, Xu, et al.
Published: (2026)

Time Series Forecastability Measures
by: Wang, Rui, et al.
Published: (2025)

Ellipsoidal Time Series Forecasting
by: Wang, Qilin
Published: (2025)

Performative Time-Series Forecasting
by: Zhao, Zhiyuan, et al.
Published: (2023)

Is Mamba Effective for Time Series Forecasting?
by: Wang, Zihan, et al.
Published: (2024)

TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
by: Wu, Jianfei, et al.
Published: (2025)

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
by: Park, Young-Jin, et al.
Published: (2024)