| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series | Mar 17, 2022 | Contrastive LearningData Augmentation | CodeCode Available | 1 | 5 |
| Mixup Your Own Pairs | Sep 28, 2023 | Contrastive Learningregression | CodeCode Available | 1 | 5 |
| COVID-19 Data Analysis and Forecasting: Algeria and the World | Jul 19, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| An Empirical Evaluation of Time-Series Feature Sets | Oct 21, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Instance-wise Graph-based Framework for Multivariate Time Series Forecasting | Sep 14, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Evaluation of post-hoc interpretability methods in time-series classification | Feb 11, 2022 | ClassificationTime Series | CodeCode Available | 1 | 5 |
| Keiki: Towards Realistic Danmaku Generation via Sequential GANs | Jul 7, 2021 | DiversityTime Series | CodeCode Available | 1 | 5 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | CodeCode Available | 1 | 5 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping | May 1, 2023 | ManagementTime Series | CodeCode Available | 1 | 5 |
| Inferring Event Descriptions from Time Series with Language Models | Mar 18, 2025 | Time Series | CodeCode Available | 1 | 5 |
| Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series | Apr 25, 2024 | Earth ObservationImage Super-Resolution | CodeCode Available | 1 | 5 |
| Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference | Mar 6, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 | 5 |
| Inferring networks from time series: a neural approach | Mar 30, 2023 | parameter estimationregression | CodeCode Available | 1 | 5 |
| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 | 5 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 | 5 |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | CodeCode Available | 1 | 5 |
| A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data | Jul 20, 2020 | Few-Shot LearningMulti-Task Learning | CodeCode Available | 1 | 5 |
| An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space | Nov 26, 2020 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 | 5 |
| Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | Dec 14, 2020 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Axial-LOB: High-Frequency Trading with Axial Attention | Dec 4, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction | May 28, 2025 | Missing ValuesSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models | Nov 14, 2022 | ECG ClassificationState Space Models | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Time Series: A Generative Approach | Nov 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Improving S&P stock prediction with time series stock similarity | Feb 8, 2020 | PredictionStock Market Prediction | CodeCode Available | 1 | 5 |
| BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting | Oct 3, 2024 | EpidemiologyMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 | 5 |
| ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation | Dec 4, 2023 | ImputationInductive Bias | CodeCode Available | 1 | 5 |
| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data | Apr 16, 2021 | BenchmarkingCausal Discovery | CodeCode Available | 1 | 5 |
| Inductive Graph Neural Networks for Spatiotemporal Kriging | Jun 13, 2020 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
| A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP | Oct 25, 2023 | Binary ClassificationDeep Learning | CodeCode Available | 1 | 5 |
| Data Normalization for Bilinear Structures in High-Frequency Financial Time-series | Jan 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Dataset Condensation for Time Series Classification via Dual Domain Matching | Mar 12, 2024 | Data AugmentationDataset Condensation | CodeCode Available | 1 | 5 |
| Inherently Interpretable Time Series Classification via Multiple Instance Learning | Nov 16, 2023 | Decision MakingMultiple Instance Learning | CodeCode Available | 1 | 5 |
| BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis | Oct 31, 2023 | Contrastive LearningSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Multimodal Pretraining of Medical Time Series and Notes | Dec 11, 2023 | Mortality PredictionSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction | Nov 9, 2023 | Computational EfficiencyTime Series | CodeCode Available | 1 | 5 |
| Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning | Nov 24, 2020 | ManagementTime Series | CodeCode Available | 1 | 5 |
| A Neural PDE Solver with Temporal Stencil Modeling | Feb 16, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Improving Deep Learning Interpretability by Saliency Guided Training | Nov 29, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification | Aug 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis | Jan 12, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Deep and Confident Prediction for Time Series at Uber | Sep 6, 2017 | Anomaly DetectionPrediction | CodeCode Available | 1 | 5 |
| An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series | Sep 23, 2021 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Bilinear Input Normalization for Neural Networks in Financial Forecasting | Sep 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
