DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embeddingby Younghwi Kim, Dohee…
A Scalable k-Medoids Clustering via Whale Optimization Algorithmby Huang Chenan, Narumasa TsutsumidaFirst submitted to arxiv…
Improving Time Series Classification with Representation Soft Label Smoothingby Hengyi Ma, Weitong ChenFirst submitted to…
On-device AI: Quantization-aware Training of Transformers in Time-Seriesby Tianheng Ling, Gregor SchieleFirst submitted to arxiv…
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classificationby Bidyut Saha, Riya…
sEMG-Driven Physics-Informed Gated Recurrent Networks for Modeling Upper Limb Multi-Joint Movement Dynamicsby Rajnish Kumar, Anand…
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generationby Christian D. BlakelyFirst submitted…
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generationby Johan…
Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Modelsby Sekitoshi Kanai,…
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecastingby Hafizh Raihan…