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Papers
Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract)
AAAI 2025
Weapon Activity Recognition
AAAI 2025
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
NeurIPS 2024
aeon: a Python Toolkit for Learning from Time Series
JMLR 2024
Boosting Transferability and Discriminability for Time Series Domain Adaptation
NeurIPS 2024
Building Timeseries Dataset: Empowering Large-Scale Building Analytics
NeurIPS 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
NeurIPS 2024
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification
AAAI 2024
Disentangling Domain and General Representations for Time Series Classification
IJCAI 2024
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography
NeurIPS 2024
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration
AAAI 2024
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
AAAI 2024
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
ICLR 2024
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing
UAI 2024
Inherently Interpretable Time Series Classification via Multiple Instance Learning
ICLR 2024
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract)
AAAI 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks
NeurIPS 2024
Let's do the time-warp-attend: Learning topological invariants of dynamical systems
ICLR 2024
Leveraging Deep Learning to Shed Light on Tones of an Endangered Language: A Case Study of Moklen
ACL 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
NeurIPS 2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
AAAI 2024
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
NeurIPS 2024
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data
AAAI 2024
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
ICLR 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
AAAI 2024