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Showing 7276–7300 of 9169 papers

TitleStatusHype
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community—0
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems—0
You May Not Need Order in Time Series Forecasting—0
Generalised learning of time-series: Ornstein-Uhlenbeck processes—0
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis—0
Coupling Oceanic Observation Systems to Study Mesoscale Ocean DynamicsCode0
Temporal Network Sampling—0
Forecasting under Long Memory and Nonstationarity—0
Scalable Gradients and Variational Inference for Stochastic Differential Equations—0
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models—0
Variationally Inferred Sampling Through a Refined BoundCode0
A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads—0
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI—0
ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness—0
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural NetworkCode0
Adaptive Transfer Learning of Multi-View Time Series Classification—0
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainabilityCode0
Bayesian Temporal Factorization for Multidimensional Time Series PredictionCode2
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems—0
Decoding Working Memory Load from EEG with LSTM Networks—0
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification—0
Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson's Disease—0
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?—0
Evolving Gaussian Process kernels from elementary mathematical expressions—0
Predicting dynamical system evolution with residual neural networks—0
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