Postdoc at Bethge Lab, University of Tuebingen. Bayesian machine learning.
ODE2VAE. ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
132npde. Nonparametric Differential Equation Modeling
56oderl. Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
55npode. Learning unknown ODE models with Gaussian processes
28neural-ode-tutorial. Neural ODE tutorial
10pca-ae-vae-diffmodels. Lecture notes on PCA, AEs, VAEs, denoising and diffusion models
8bayesian. Notes of my work on Bayesian stats and machine learning
4boun-sim. A probabilistic SIP simulation environment
4bilimler-koyu-2023. Guncel Yapay Zaka ve Matematiksel Temelleri yaz okulu notlari
3sde-mcmc-lecture. The lecture notes of my talk on the course "A computational introduction to stochastic differential equations"
3gym. A toolkit for developing and comparing reinforcement learning algorithms.
1bcpm. Bayesian change point model
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