Phillip Lippe
Phillip Lippe
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My Talks
2024
OCIS: BISCUIT - Causal Representation Learning from Binary Interactions
I presented our work BISCUIT, on making CRL viable on realistic, temporal interactive environments.
Mar 19, 2024 16:30 — 17:30
Virtual
Phillip Lippe
Project
Slides
Video
Paper
Demo
Training Models at Scale
I gave a tutorial on distributed training strategies for large-scale models.
Mar 11, 2024 17:00 — 19:00
University of Amsterdam
Phillip Lippe
Project
Slides
Notebooks
GitHub Repo
CARE: BISCUIT - Causal Representation Learning from Binary Interactions
I presented our work BISCUIT, on making CRL viable on realistic, temporal interactive environments.
Feb 22, 2024 17:00 — 18:00
Virtual
Phillip Lippe
Project
Slides
Paper
Demo
On Practical Challenges of Scaling Causal Representation Learning
I presented an overview of our efforts on scaling Causal Representation Learning towards real-world settings.
Feb 9, 2024 — Feb 16, 2024
Bellairs Research Institute of McGill University in Barbados
Phillip Lippe
Project
Slides
Paper
2023
AI4Science Talks: PDE-Refiner - Achieving Accurate Long Rollouts with Neural PDE Solvers
I presented our recent paper on modeling accurate long rollouts with neural PDE solvers.
Aug 28, 2023 15:00 — 16:15
Virtual
Phillip Lippe
Project
Slides
Paper
UAI Spotlight Talk: BISCUIT - Causal Representation Learning from Binary Interactions
I presented our UAI spotlight paper on learning causal representation learning from low-level actions.
Aug 3, 2023 12:10 — 12:30
Pittsburgh, USA
Phillip Lippe
Project
Poster
Slides
Video
Paper
Code
ICML F4LCD Contributed Talk: Modeling Accurate Long Rollouts with Neural PDE Solvers
I presented our ICML workshop paper on how to achieve accurate long rollouts with neural PDE solvers.
Jul 28, 2023 09:00 — 17:00
Honolulu - Hawaii, USA
Phillip Lippe
Project
Poster
Slides
Video
Paper
Life as a PhD student
I shared my experience of being a PhD student at UvA.
Jun 12, 2023 17:00 — 19:00
Brainwave, Science Park 904
Phillip Lippe
Slides
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.
Feb 19, 2023 — Feb 21, 2023
KAUST, Saudi Arabia
Phillip Lippe
Slides
Paper - CITRIS
Paper - iCITRIS
Paper - WSCRL
Follow our research
UvA Master's Week: AI Alumnus Talk
I shared my experience of the Master AI program with prospective students for the 2023-2025 program.
Feb 13, 2023 15:00 — 16:00
Online
Phillip Lippe
Slides
Trends in AI: Panel Discussion
I joined a panel for discussing the newest trends in AI, and our predictions for 2023.
Jan 13, 2023 16:00 — 17:00
Science Park 900, Lab42
Phillip Lippe
,
Jakub Zavrel
,
Sergi Castella i Sapé
Blog
2022
GDE: Machine Learning with JAX and Flax
Introduction talk for learning JAX and Flax as Deep Learning framework
Dec 6, 2022 15:00 — 16:00
Virtual
Phillip Lippe
Slides
Tutorial
ICAI Meetup: CITRIS - Causal Identifiability from Temporal Intervened Sequences
I gave an short introduction into causal representation learning and our ICML work “CITRIS”.
Oct 6, 2022 12:00 — 13:00
Virtual
Phillip Lippe
Slides
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.
Oct 4, 2022 17:30 — 18:30
Virtual
Phillip Lippe
Slides
UvA Master AI: Alumnus Talk
I shared my experience of the Master AI program with new students of the 2022-2024 program.
Sep 1, 2022 15:00 — 16:00
Science Park 904
Phillip Lippe
Slides
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.
Aug 5, 2022 09:00 — 18:00
Eindhoven University of Technology (UAI 2022)
Phillip Lippe
Slides
Paper - CITRIS
Paper - iCITRIS
Follow our research
ICML Spotlight: CITRIS - Causal Identifiability from Temporal Intervened Sequences
I presented our ICML paper on causal representation learning from temporal observations.
Jul 20, 2022 15:00 — 16:00
Baltimore, USA
Phillip Lippe
Code
Slides
Video
Paper
SIGIR Contributed Talk: Simultaneously Improving Utility and User Experience in Task-oriented Dialogue Systems
I gave a contributed talk at the 2022 SIGIR Workshop on eCommerce on our paper “Simultaneously Improving Utility and User Experience in Task-oriented Dialogue Systems”.
Jul 15, 2022 11:30 — 12:00
Barcelona, Spain
Phillip Lippe
Slides
Paper
2021
ICAI Meetup: ENCO - Efficient Neural Causal Discovery
I gave an short introduction into causal discovery and our ICLR work “ENCO”.
Sep 16, 2021 12:00 — 13:00
Virtual
Phillip Lippe
Slides
Paper
CausalUAI Contributed Talk: Efficient Neural Causal Discovery without Acyclicity Constraints
I gave a contributed talk on our paper “Efficient Neural Causal Discovery”.
Jul 30, 2021 09:40 — 10:10
Virtual
Phillip Lippe
Code
Slides
Video
Paper
2020
Contributed Talk: Hateful Memes Challenge - Winning Solutions
I gave a contributed talk at the 2020 NeurIPS Competition Workshop on the Hateful Memes Challenge on our 4th place winning solution.
Dec 11, 2020 03:30 — 04:00
Virtual
Phillip Lippe
Slides
Paper - Solution
Paper - Challenge
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