Joshua V. Dillon
Marvell (United States)(US)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Gaussian Processes and Bayesian Inference, Anomaly Detection Techniques and Applications, Adversarial Robustness in Machine Learning, Machine Learning and Algorithms
Most-Cited Works
- → Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift(2019)651 cited
- → Deep Variational Information Bottleneck(2016)367 cited
- → TensorFlow Distributions(2017)240 cited
- → Uncertainty in the Variational Information Bottleneck(2018)65 cited
- The Locally Weighted Bag of Words Framework for Document Representation(2007)
- → Fixing a Broken ELBO(2017)44 cited
- → Sequential Document Visualization(2007)41 cited
- → Hydra: Preserving Ensemble Diversity for Model Distillation(2020)36 cited
- An information-theoretic analysis of deep latent-variable models(2018)