I'm sorry but I feel like i see lots of "coding is dead" takes thanks to AI, but I certainly write more code than ever. I think its likely its a Jevon's paradox thing, where good coders end up doing more software work as Ai tools make it easier and more fun
05.01.2026 06:37 โ ๐ 82 ๐ 10 ๐ฌ 10 ๐ 1
Wait.. You can also have ChickenZilla vs. ChickenKong!
28.04.2025 14:53 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Multi-Head Latent Attention vs Group Query Attention: We break down why MLA is a more expressive memory compression technique AND why naive implementations can backfire. Check it out!
12.03.2025 19:01 โ ๐ 25 ๐ 10 ๐ฌ 0 ๐ 1
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Symmetries (transformations by group actions) are present in many datasets, and leveraging them holds significant promise for improving predictions in machine learning. In this work, we aim to underst...
Little is known about how deep networks interact with structure in data. An important aspect of this structure is symmetry (e.g., pose transformations). Here, we (w/ @stphtphsn.bsky.social) study the generalization ability of deep networks on symmetric datasets: arxiv.org/abs/2412.11521 (1/n)
14.01.2025 13:05 โ ๐ 18 ๐ 4 ๐ฌ 1 ๐ 3
Are you using any particular equipment for that?
07.12.2024 17:49 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore ๐ธ๐ฌ
https://pierrealquier.github.io/
Previously: RIKEN AIP ๐ฏ๐ต ENSAE Paris ๐ซ๐ท ๐ช๐บ UCD Dublin ๐ฎ๐ช ๐ช๐บ
Random posts about stats/maths/ML/AI, poor jokes & birds photo ๐
Technical staff @OpenAthena.ai, community member @pangeo.io & @m2lines.bsky.social. Weather, Climate, Oceans Research. Programming, Politics, Postmodernism (oPinions are my own).
Geometric deep learning + Computer vision
machine learning researcher @ Apple machine learning research
Probabilistic + logical + algebraic reasoning/learning
Assistant prof. @ University of Trento, Marie Skลodowska-Curie fellow
https://paolomorettin.github.io/
ML PhD student @ Uni Edinburgh
Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
PhD @ York University / Research Intern @ Ubisoft LaForge / Technical Lead @ VectorInst/ Previously @ Toyota Research Institute and @ NextAI
Interpretability and Computer Vision
Founding list[float] engineer. Recsys. Personalization. Infra. Systems. Normcore code. Nutella. Vectors. Words. Vibes. Bad puns (soon).
https://vickiboykis.com/what_are_embeddings/
Postdoc at Kyutai
https://juliettemarrie.github.io
AV wants a rice bowl. And apparently it can't be any rice bowl.
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent.
Research in physics-inspired and geometric deep learning.
Senior Research Scientist at NVIDIA, formerly PhD student at EPFL.
ELLIS PhD Student in Computer Vision at TUM with Daniel Cremers and Christian Rupprecht (Oxford), fwmb.github.io, prev. Research Intern at Meta GenAI
Writing about robots https://itcanthink.substack.com/
RoboPapers podcast https://robopapers.substack.com/
All opinions my own
The AI community building the future!
@Cohere.com's non-profit research lab and open science initiative that seeks to solve complex machine learning problems. Join us in exploring the unknown, together. https://cohere.com/research
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science
https://fedeadolfi.github.io
On the job market!
Postdoc at UCL AI Center. Currently work on: forecasting, uncertainty quantification, antimicrobial resistance. Previously: Gaussian processes, physics informed ML, trading power.
https://magnusross.github.io