Alizée Pace

84 posts

Alizée Pace

Alizée Pace

@AlizeePace

Research Scientist @GoogleDeepMind | prev: @ETH_AI_Center, @MPI_IS, @GoogleAI, @Cambridge_Uni

Zürich, Switzerland Katılım Kasım 2020
519 Takip Edilen611 Takipçiler
Alizée Pace
Alizée Pace@AlizeePace·
RL for real-world applications = offline learning + reward learning. How do we make this work? Find out more at ICLR poster #377 at 10am today! @gio_ramponi and I will be presenting our latest work on offline preference-based RL (joint w/ @gxr, @bschoelkopf).
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ETH AI Center
ETH AI Center@ETH_AI_Center·
🎉 Yesterday, @AlizeePace, our very first PhD Fellow of the @ETH_AI_Center, graduated! She was supervised by ETH AI Center Faculty members Prof. Gunnar Rätsch @gxr and Prof. @bschoelkopf. Congrats, Dr. Pace! Next, she will join @GoogleDeepMind in Zurich as a Research Scientist.
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Alizée Pace
Alizée Pace@AlizeePace·
Very grateful to the organisers @vernadec, Leif Döring, and Simon Weißmann for inviting me and putting together a fantastic event.
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Alizée Pace
Alizée Pace@AlizeePace·
Last Friday, I had the pleasure of giving an invited talk at the workshop on Reinforcement Learning in Mannheim, Germany! I presented recent work on offline preference-based reinforcement learning, aiming to make RL more practical for real-world applications like healthcare.
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Alice Bizeul
Alice Bizeul@AliceBizeul·
✨New Preprint ✨ Ever thought that reconstructing masked pixels for image representation learning seems sub-optimal? In our new preprint, we show how masking principal components—rather than raw pixel patches— improves Masked Image Modelling (MIM). Find out more below 🧵
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Mariya Hendriksen
Mariya Hendriksen@MarieHendriksen·
🎓 Happy to share that I successfully defended my PhD in Multimodal Machine Learning for Information Retrieval, at @UvA_Amsterdam last Friday! Grateful to my supervisors @mdr and @pgroth, and to @maria_heuss and @HarrieOos for their support as paranymphs! 🎉 (1/2)
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Carl Allen
Carl Allen@carl_s_allen·
Machine learning has made incredible breakthroughs, but our theoretical understanding lags behind. We take a step towards unravelling its mystery by explaining why the phenomenon of disentanglement arises in generative latent variable models. Blog post: carl-allen.github.io/theory/2024/12…
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ETH AI Center
ETH AI Center@ETH_AI_Center·
🔬 Advance the frontiers of AI: @ETH_AI_Center Fellowship Programs –#PhD & #Postdoc Opportunities 🔬 💫Push the boundaries of Reinforcement Learning and Data-driven Control💫 ✍️ Apply by November 19, 2024: ttps://ai.ethz.ch/apply
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Mariya Hendriksen
Mariya Hendriksen@MarieHendriksen·
I’m happy to share that I’m starting a research internship with the Game Intelligence team @MSFTResearch @Microsoft in Cambridge, led by @katjahofmann. I am mentored by @smdvln. If you’re in Cambridge/London and would like to connect, feel free to reach out!
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