Papers Using This Method
Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model2025-03-04From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation2025-02-14Solving the Catastrophic Forgetting Problem in Generalized Category Discovery2025-01-09DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks2024-07-30Active Deep Kernel Learning of Molecular Functionalities: Realizing Dynamic Structural Embeddings2024-03-02Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy2024-01-30Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images2023-12-23RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels2023-10-05Promises of Deep Kernel Learning for Control Synthesis2023-09-12Decoupled Kullback-Leibler Divergence Loss2023-05-23Deep Kernel Methods Learn Better: From Cards to Process Optimization2023-03-25Guided Deep Kernel Learning2023-02-19Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift2022-12-01Deep banach space kernels2021-09-29The Promises and Pitfalls of Deep Kernel Learning2021-02-24On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty2021-02-22GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning2021-02-15Deep Ensemble Kernel Learning2021-01-01Mixed Variational Inference2019-01-15Stochastic Variational Deep Kernel Learning2016-11-01