Stochastic Backpropagation and Approximate Inference in Deep Generative Models

• Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests

  2024 Symmetry article Computer Science Gaussian Processes and Bayesian Inference Open access

  11

  citations
• MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing

  2023 International Joint Conference on Computational Intelligence conference-paper Computer Science Anomaly Detection Techniques and Applications Open access

  9

  citations
• Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders

  2021 PLoS Computational Biology article Computer Science Human Pose and Action Recognition Open access

  34

  citations
• Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders

  2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Human Pose and Action Recognition Open access

  9

  citations
• Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization

  2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access

  17

  citations
• Adversarial Examples on Object Recognition: A Comprehensive Survey

  2020 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

  11

  citations
• Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models

  2020 conference-paper Computer Science Machine Learning in Healthcare Open access

  13

  citations
• Adversarial Examples on Object Recognition

  2020 ACM Computing Surveys article Computer Science Adversarial Robustness in Machine Learning Open access

  139

  citations

8 results