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Showing 5651–5700 of 9169 papers

TitleStatusHype
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic ForecastingCode1
The effect of phased recurrent units in the classification of multiple catalogs of astronomical lightcurvesCode0
Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models—0
Fast and Robust Online Inference with Stochastic Gradient Descent via Random ScalingCode0
Distributed Learning and its Application for Time-Series Prediction—0
Deep Particulate Matter Forecasting Model Using Correntropy-Induced LossCode0
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition—0
Latent Time-Adaptive Drift-Diffusion Model—0
A General Method for Event Detection on Social Media—0
Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime SwitchingCode1
Price graphs: Utilizing the structural information of financial time series for stock predictionCode1
Causal Graph Discovery from Self and Mutually Exciting Time Series—0
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems—0
Causal Digital Twin from Multi-channel IoT—0
Homological Time Series Analysis of Sensor Signals from Power PlantsCode0
MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled TrajectoriesCode0
Deep Signature Statistics for Likelihood-free Time-series Models—0
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes—0
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural NetworksCode0
Unsupervised Representation Learning for Time Series with Temporal Neighborhood CodingCode1
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments—0
Fast, Accurate and Interpretable Time Series Classification Through RandomizationCode1
Pattern Discovery in Time Series with Byte Pair Encoding—0
Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing—0
An improved LogNNet classifier for IoT application—0
Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data—0
CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline SummarizationCode0
Accelerating Neural ODEs Using Model Order Reduction—0
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
Short-Term Stock Price-Trend Prediction Using Meta-Learning—0
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy OptimizationCode0
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State—0
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms—0
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs—0
Three Remarks On Asset Pricing—0
Matched Illumination Waveforms using Multi-Tone Sinusoidal Frequency Modulation—0
Deep Learning-based Damage Mapping with InSAR Coherence Time SeriesCode1
Inferring Temporal Logic Properties from Data using Boosted Decision Trees—0
Arbitrage-free neural-SDE market modelsCode1
Can we imitate the principal investor's behavior to learn option price?—0
Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning—0
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.Code1
RFID-based Article-to-Fixture Predictions in Real-World Fashion Stores—0
Entropy-based Discovery of Summary Causal Graphs in Time Series—0
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy—0
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series—0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly DetectionCode0
Periodic Freight Demand Estimation for Large-scale Tactical Planning—0
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