Michalis K. Titsias

1. Simplified and Generalized Masked Diffusion for Discrete Data
   2024/06/06 by Jiaxin Shi, Shi, Jiaxin, Kehang Han +7 · 154 citations
   Computer Science · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Functional Regularisation for Continual Learning with Gaussian Processes
   2019/01/31 by Michalis K. Titsias, Titsias, Michalis K., Jonathan Schwarz +7 · 17 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
3. Overdispersed Black-Box Variational Inference
   2016/03/03 by Francisco J. R. Ruiz, Ruiz, Francisco J. R., Michalis K. Titsias +3 · 5 citations
   Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference
4. Optimal Preconditioning and Fisher Adaptive Langevin Sampling
   2023/05/23 by Michalis K. Titsias, Titsias, Michalis K. · 5 citations
   Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques
5. A Contrastive Divergence for Combining Variational Inference and MCMC
   2019/05/10 by Francisco J. R. Ruiz, Ruiz, Francisco J. R., Michalis K. Titsias +1 · 3 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning #AI in cancer detection
6. One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
   2016/09/23 by Michalis K. Titsias, Titsias, Michalis K. · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
7. Entropy-based adaptive Hamiltonian Monte Carlo
   2021/10/27 by Marcel Hirt, Michalis K. Titsias, Hirt, Marcel +3 · 1 citation
   Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
8. Manifold Relevance Determination
   2012/06/18 by Andreas Damianou, Damianou, Andreas, Carl Henrik Ek +5 · 1 citation
   Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)