Chase @tidalpaladin
AI researcher @medcognetics. PhD UT Dallas. Using JEPA to address data scarcity in medical imaging github.com/tidalpaladin Texas Joined February 2012-
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Gram anchoring works really well for JEPA models too. Dense features that fall apart late in training are now stable. Good work by those involved with DINOv3!
Can AI help understand how the brain learns to see the world? Our latest study, led by @JRaugel from FAIR at @AIatMeta and @ENS_ULM, is now out! 📄 arxiv.org/pdf/2508.18226 🧵 A thread:
Getting back into cubing… shoutout to @karpathy for his great tutorials, they were a big help back in the day!
Skynet achieved internally.
Printed 1945! Belonged to my grandfather in his Navy days
JEPA cosine similarities sadly not looking as clean as DINOv3. Still descent performance, >96% acc by attentive probing (JEPA + ViT-S/4 on CIFAR-10 from scratch). Keeping at it!
Big Tech: “We can’t find qualified Americans to fill these positions.” Also Big Tech: “We need to place these PERM job ads where no Americans will see them.”
Cannot begin to express how much time Latex + automated table export has saved me. Latex should be widely taught in high school
Introducing DINOv3: a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense…
Banger last line
Fourier feature PE seems to help a lot with grid artifacts in SSL (JEPA) ViTs vs learnable PE. Would be cool to try this with DINOv2 on non-medical data.
I'll have you know, Potter, my father rented out an 8xh100 for me so I could play around with R1 fine tunes. And not the cheap crappy distills that the weasleys have
What students expect from ML job: analysis of sharpness effecting generalization bound analysis of NTK parameterization on convergence sub quadratic attention novel convolution architecture novel SDE solver for fast sampling rao-blackwellized gradient estimator for faster…
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“Deepseek cost less than Sam Altman's Koenigsegg to train” …brutal
im in tears he basically did this
im in tears he basically did this https://t.co/AOlUCRpdzL
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Feels like America is rapidly turning into Gotham City. If you're rich and don't mind paying $30 for a burrito, congratulations, life is great. You can Uber around town for $50, spend $100 on cocktails and some meal conceived by a "French visionary" but prepared by people…
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