Talks

Life as a PhD student

I shared my experience of being a PhD student at UvA.

KAUST Rising Stars in AI: Causal Representation Learning

I was invited to the Rising Stars in AI Symposium to give a talk on our work in Causal Representation Learning.

UvA Master's Week: AI Alumnus Talk

I shared my experience of the Master AI program with prospective students for the 2023-2025 program.

Trends in AI: Panel Discussion

I joined a panel for discussing the newest trends in AI, and our predictions for 2023.

GDE: Machine Learning with JAX and Flax

Introduction talk for learning JAX and Flax as Deep Learning framework

ICAI Meetup: CITRIS - Causal Identifiability from Temporal Intervened Sequences

I gave an short introduction into causal representation learning and our ICML work "CITRIS".

CI Working Group: Learning Causal Variables from Temporal Observations

I gave an overview on recent advances in causal representation learning and possible relations to causal incentives analysis in AGI safety at the Causal Incentive Working Group.

UvA Master AI: Alumnus Talk

I shared my experience of the Master AI program with new students of the 2022-2024 program.

UAI Invited Talk: Learning Causal Variables from Temporal Sequences with Interventions

I gave an invited talk on our vision for causal representation learning from temporal observations at the First Workshop on Causal Representation Learning at UAI 2022.

ICML Spotlight: CITRIS - Causal Identifiability from Temporal Intervened Sequences

I presented our ICML paper on causal representation learning from temporal observations.