Agustinus Kristiadi
About
Agustinus Kristiadi is a postdoctoral fellow at the Vector Institute in Toronto, and previously obtained his PhD from the University of Tuebingen in Germany. His research interests are in probabilistic methods for large-scale neural networks, decision-making under uncertainty, and their applications in broader scientific fields such as chemistry. His work has been recognized in the form of best PhD thesis award and multiple spotlight papers from flagship machine learning conferences. His contributions to the scientific society include mentoring underrepresented students and actively contributing to the open-source community.
Interests
News
- I will be in Singapore between 28 and 30 April, inclusive. Feel free to reach out! I am also organizing the AABI 2025 symposium on the 29th.
- I gave a talk at UBC's first-year seminar in science (SCIE 113). I talked about the high-level intuition of probabilistic decision-making algorithms and their impacts in making the world a better place.
- Hello, world! I'm starting this news section!
Latest Posts
- Advent of Code 2024: A Gleam Retrospective
Gleam is a rather new functional language. How does it fare in AoC? What about its scientific-computing ecosystem?
- Writing Advice for Fledging Machine Learning Researchers
Some bullet-point advice regarding paper-writing I would give to my younger self.
- The 'use' Expression in Gleam
How can we emulate the behavior of Python's `with` and Rust `?` in Gleam?
- Volume Forms and Probability Density Functions Under Change of Variables
From elementary probability theory, it is well known that a probability density function (pdf) is not invariant under ...
- The Invariance of the Hessian and Its Eigenvalues, Determinant, and Trace
In deep learning, the Hessian and its downstream quantities are observed to be not invariant under reparametrization. This ...