publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2021

  1. Preprint
    Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
    arXiv Preprint 2021

2020

  1. ICML UDL 2020
    Scalable Training with Information Bottleneck Objectives
    Kirsch, Andreas, Lyle, Clare, and Gal, Yarin
    In Workshop Uncertainty & Robustness in Deep Learning at Int. Conf. on Machine Learning (ICML), online 2020
  2. ICML UDL 2020
    Learning CIFAR-10 with a Simple Entropy Estimator Using Information Bottleneck Objectives
    Kirsch, Andreas, Lyle, Clare, and Gal, Yarin
    In Workshop Uncertainty & Robustness in Deep Learning at Int. Conf. on Machine Learning (ICML), online 2020
  3. Preprint
    Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning
    Kirsch, Andreas, Lyle, Clare, and Gal, Yarin
    arXiv Preprint 2020

2019

  1. NeurIPS 2019
    BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
    Kirsch, Andreas, van Amersfoort, Joost, and Gal, Yarin
    NeurIPS 2019