We have two new summer internship positions at Apple MLR in Barcelona 😎 One on RNNs and the other on explainable generative models. Details and Application: jobs.apple.com/en-us/details/…
Pau Rodríguez
@prlz77
Research Scientist @Apple MLR on #machine_learning understanding and robustness. @ELLISforEurope member. Previously at ServiceNow and Element AI in Montréal.
1.5K Following 1.9K Followers 750 Posts
Latest posts 5
A nice dive into how linear probing can be misleading in measuring forgetting & interference
Catastrophic forgetting: your model "forgets" a task, and probing confirms the info is gone. Case closed... right?View quoted post on X
Not so fast
We found that sometimes tests like probing don't tell the full story. Features are still there, just misaligned or too crowded.
Let's dive in!🧵
We're hiring at Apple MLR in Barcelona 🦎
Work on cutting-edge problems in robustness, interpretability, and next-gen archs. Publish at top venues. Contribute to open-source and push the field forward.
Apply: jobs.apple.com/en-us/details/…
Or meet us at our booth at ICML 2026🇰🇷
Work on cutting-edge problems in robustness, interpretability, and next-gen archs. Publish at top venues. Contribute to open-source and push the field forward.
Apply: jobs.apple.com/en-us/details/…
Or meet us at our booth at ICML 2026🇰🇷
Pretty cool to see error correction being used to make more efficient optimizers!
🚀 Today we’re releasing FlashOptim: better implementations of Adam, SGD, etc, that compute the same updates but save tons of memory. You can use it right now via `pip install flashoptim`. 🚀View quoted post on X
arxiv.org/abs/2602.23349
A bunch of cool ideas make this possible: [1/n]
Very cool to see interpretability being used as a tool for scientific discovery! Congrats to the team behind this @GoodfireAI
We've identified a novel class of biomarkers for Alzheimer's detection - using interpretability - with @PrimaMente.View quoted post on X
How we did it, and how interpretability can power scientific discovery in the age of digital biology: (1/6)