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van der Heide, Chris

  1. Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
    2022/10/14 by Liam Hodgkinson, Chris van der Heide, Hodgkinson, Liam +5 · 3 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  2. The Interpolating Information Criterion for Overparameterized Models
    2023/07/15 by Liam Hodgkinson, Hodgkinson, Liam, Chris van der Heide +7 · 3 citations
    Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference
  3. Stochastic Normalizing Flows
    2020/02/21 by Liam Hodgkinson, Chris van der Heide, Hodgkinson, Liam +5 · 2 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis
  4. Temperature Optimization for Bayesian Deep Learning
    2024/10/08 by K.C. Ng, Chris van der Heide, Ng, Kenyon +5 · 1 citation
    Computer Science · #Gaussian Processes and Bayesian Inference
  5. Uncertainty Quantification with the Empirical Neural Tangent Kernel
    2025/02/05 by Joseph N. Wilson, Chris van der Heide, Wilson, Joseph +5 · 2 citations
    Decision Sciences · Computer Science · #Probabilistic and Robust Engineering Design #Neural Networks and Applications