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Patrik Reizinger

@rpatrik96.bsky.social
282 followers 108 following 4 posts

PhD student working on understanding why neural nets generalize @MPI Tübingen | ex-Vector | path2phd.substack.com | 🇭🇺 🇪🇺

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Patrik Reizinger @rpatrik96.bsky.social · 02/05/2025
I had the pleasure of being interviewed on the @i-am-scientist.bsky.social podcast by @lisaschmors.bsky.social and @philipphubert.bsky.social . I talk about how I ended up writing my newsletter (path2phd.substack.com) and the people who supported me all along. Enjoy!
open.spotify.com
The path to PhD - Advice from a young scientist
I am Scientist · Episode
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David Klindt @david-klindt.bsky.social · 18/04/2025
So—does this mean theory is doomed, and AI engineering is just a random walk? Not at all! 💡 @rpatrik96.bsky.social @wielandbrendel.bsky.social Randall Balestriero did an amazing job clarifying where theory can help practice—and where practice should inspire theory. 🤝
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David Klindt @david-klindt.bsky.social · 04/03/2025
Kudos to the great team @ninamiolane.bsky.social @rpatrik96.bsky.social @charlesoneill.bsky.social Harald Maurer 🙏
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Nina Miolane @ninamiolane.bsky.social · 05/03/2025
How can neural nets extract *interpretable* features from data—& uncover new science? 👉 Discover our mathematical framework tackling this question w/ identifiability theory, compressed sensing, interpretability & geometry!🌐 By @david-klindt.bsky.social @rpatrik96.bsky.social C. O'Neill H Maurer
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Geometric Intelligence Lab @geometric-intel.bsky.social · 05/03/2025
New preprint!🚀 Decoding neural representations is a challenge in neuroscience & AI. 👉 Learn how identifiability theory, compressed sensing & interpretability research -w/ a dash of geometry- can help! @david-klindt.bsky.social @rpatrik96.bsky.social C. O'Neill H. Maurer @ninamiolane.bsky.social
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Wieland Brendel @wielandbrendel.bsky.social · 11/02/2025
🚀 We’re hiring! Join Bernhard Schölkopf & me at @ellisinsttue.bsky.social to push the frontier of #AI in education! We’re building cutting-edge, open-source AI tutoring models for high-quality, adaptive learning for all pupils with support from the Hector Foundation. 👉 forms.gle/sxvXbJhZSccr...
Hiring announcement: ELLIS Institute Tübingen is looking for ML Researchers & Engineers for Open-Source AI Tutoring (m/f/d). The image features a white background with bold black text and the colorful ELLIS logo at the bottom.
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Patrik Reizinger @rpatrik96.bsky.social · 13/12/2024
Check out our @neuripsconf.bsky.social spotlight on showing how language models learn to extrapolate and compose language rules. See you on Fri 13 Dec 4:30 p.m. PST — 7:30 p.m. PST at poster #2702 in East Hall. neurips.cc/virtual/2024...
neurips.cc
NeurIPS Poster Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD PromptsNeurIPS 2024
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ELLIS @ellis.eu · 12/12/2024
Congrats to the recipients of the 2024 ELLIS PhD Award! Co-winners: @koloskova.bsky.social (efficiency in decentralized learning) & Luigi Gresele (identifiable representation learning) Runner up: @schwarzjn.bsky.social (sparse parameterizations) Read more about them: bit.ly/4fg4jkg #AI #ML
ELLIS PhD Award 2024 in text and three photos of the winners, then the ELLIS logo at the bottom
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Luigi Acerbi @lacerbi.bsky.social · 11/12/2024
1/ Hi all, I am at #NeurIPS2024 and I will be hiring a postdoc in probabilistic machine learning starting asap. Research interests: amortized, approximate & simulator-based inference, Bayesian optimization, and AI4science. Get in touch for a chat or come to our posters today 11AM or Friday 11AM!
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Sebastian Dziadzio @dziadzio.bsky.social · 11/12/2024
📄 New Paper: "How to Merge Your Multimodal Models Over Time?" arxiv.org/abs/2412.06712 Model merging assumes all finetuned models are available at once. But what if they need to be created over time? We study Temporal Model Merging through the TIME framework to find out! 🧵
arxiv.org
How to Merge Your Multimodal Models Over Time?
Model merging combines multiple expert models - finetuned from a base foundation model on diverse tasks and domains - into a single, more capable model. However, most existing model merging approaches...
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Ferenc Huszár @inference.vc · 11/12/2024
We are looking for a PostDoc on human-AI interaction to work with @mirizilka.bsky.social The project studies systems used in law enforcement or legal decision-making, when humans act on recommendations/predictions made by ML algorithms. Email for details. www.jobs.cam.ac.uk/job/49538/
jobs.cam.ac.uk
Research Assistant/Associate in Machine Learning (Fixed Term) - Job Opportunities - University of Cambridge
Research Assistant/Associate in Machine Learning (Fixed Term) in the Department of Engineering at the University of Cambridge.
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Patrik Reizinger @rpatrik96.bsky.social · 06/12/2024
Check out our @neuripsconf.bsky.social spotlight on showing a useful inductive bias in language models to extrapolate language rules. See you on Fri 13 Dec 4:30 p.m. PST — 7:30 p.m. PST at poster #2702.
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Patrik Reizinger @rpatrik96.bsky.social · 28/11/2024
Next week I will be in Berkeley. Reach out if you'd like to talk about OOD/compositional generalization, causality, SSL, or inductive biases.
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Marvin Schmitt @marvin-schmitt.com · 22/11/2024
The ✨ML Internship Feed✨ is here! @serge.belongie.com and I created this feed to compile internship opportunities in AI, ML, CV, NLP, and related areas. The feed is rule-based. Please help us improve the rules by sharing feedback 🧡 🔗 Link to the feed: bsky.app/profile/did:...
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Wolfgang Huber @wkhuber.bsky.social · 22/11/2024
Join the Interdisciplinary Postdoc Fellowship Program at the European Molecular Biology Laboratory (EMBL), one of the best places to do research in modern biology and develop your career. Great opportunities for statisticians, comp. biologists, AI experts, mathem. modelers! www.embl.org/eipod-linc
Poster of the EIPOD call
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