$$ \newcommand{\dint}{\mathrm{d}} \newcommand{\vphi}{\boldsymbol{\phi}} \newcommand{\vpi}{\boldsymbol{\pi}} \newcommand{\vpsi}{\boldsymbol{\psi}} \newcommand{\vomg}{\boldsymbol{\omega}} \newcommand{\vsigma}{\boldsymbol{\sigma}} \newcommand{\vzeta}{\boldsymbol{\zeta}} \renewcommand{\vx}{\mathbf{x}} \renewcommand{\vy}{\mathbf{y}} \renewcommand{\vz}{\mathbf{z}} \renewcommand{\vh}{\mathbf{h}} \renewcommand{\b}{\mathbf} \renewcommand{\vec}{\mathrm{vec}} \newcommand{\vecemph}{\mathrm{vec}} \newcommand{\mvn}{\mathcal{MN}} \newcommand{\G}{\mathcal{G}} \newcommand{\M}{\mathcal{M}} \newcommand{\N}{\mathcal{N}} \newcommand{\S}{\mathcal{S}} \newcommand{\I}{\mathcal{I}} \newcommand{\diag}[1]{\mathrm{diag}(#1)} \newcommand{\diagemph}[1]{\mathrm{diag}(#1)} \newcommand{\tr}[1]{\text{tr}(#1)} \renewcommand{\C}{\mathbb{C}} \renewcommand{\R}{\mathbb{R}} \renewcommand{\E}{\mathbb{E}} \newcommand{\D}{\mathcal{D}} \newcommand{\inner}[1]{\langle #1 \rangle} \newcommand{\innerbig}[1]{\left \langle #1 \right \rangle} \newcommand{\abs}[1]{\lvert #1 \rvert} \newcommand{\norm}[1]{\lVert #1 \rVert} \newcommand{\two}{\mathrm{II}} \newcommand{\GL}{\mathrm{GL}} \newcommand{\Id}{\mathrm{Id}} \newcommand{\grad}[1]{\mathrm{grad} \, #1} \newcommand{\gradat}[2]{\mathrm{grad} \, #1 \, \vert_{#2}} \newcommand{\Hess}[1]{\mathrm{Hess} \, #1} \newcommand{\T}{\text{T}} \newcommand{\dim}[1]{\mathrm{dim} \, #1} \newcommand{\partder}[2]{\frac{\partial #1}{\partial #2}} \newcommand{\rank}[1]{\mathrm{rank} \, #1} \newcommand{\inv}1 \newcommand{\map}{\text{MAP}} \newcommand{\L}{\mathcal{L}} \DeclareMathOperator*{\argmax}{arg\,max} \DeclareMathOperator*{\argmin}{arg\,min} $$

Agustinus's Portrait

Agustinus Kristiadi

Last-year Ph.D. student at the University of Tübingen

Email
agustinus[at]kristia.de

Interests

Bayesian deep learning
Riemannian and information geometry

Education

University of Tübingen, Germany

Ph.D., Computer Science, 2019-2022
Topic: Bayesian Deep Learning
Thesis: Low-Cost Bayesian Methods for Fixing Neural Networks' Overconfidence

University of Bonn, Germany

M.Sc., Computer Science, 2017-2019
Focus: Theoretical Computer Science, Intelligent Systems
Grade: 1.1 (3.9 GPA equivalent)

Universitas Atma Jaya Yogyakarta, Indonesia

B.Eng., Informatics Engineering, 2009-2013
Focus: Numerics, Soft Computing
Thesis: Parallel Particle Swarm Optimization for Image Segmentation
GPA: 3.9

Teaching

University of Tübingen

Supervision
Philipp von Bachmann, 2021
Naman Deep Singh, 2021
Tobias Ludwig, 2020
Runa Eschenhagen, 2020
Courses
Tutor, Data Literacy, Winter Semester 2021-2022
Tutor, Probabilistic Machine Learning, Summer Semester 2021
Tutor, Data Literacy, Winter Semester 2020-2021
Tutor, Probabilistic Machine Learning, Summer Semester 2020
Tutor, Data Literacy, Winter Semester 2019-2020

Universitas Atma Jaya Yogyakarta

Courses
Tutor, Advanced Data Structure, 2012
Tutor, Database, 2011

Academic Experience

Methods of Machine Learning group, University of Tübingen

Research Assistant, 2019-

Smart Data Analytics (SDA) group, University of Bonn

Student Research Assistant, 2017-2019

Universitas Atma Jaya Yogyakarta

Research Assistant, 2016-2017

Industry Experience

GDP Labs

Software Engineer, 2013-2015

Astra International

Software Engineering Intern, 2012

Languages

English
Indonesian
Javanese
German (limited)