Vaitkus Márton
@vm_braindumps
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CS PhD, Assistant Prof. @ Budapest Uni. of Tech. & Econ.
Budapest
Joined April 2009
We've written a survey (w/ T. Várady & P. Salvi) on multi-sided surfaces in CAD: https://t.co/eoEikFIOXr This has a long history, w/ lots of developments recently by our group & others. We wanted to organize the sprawling literature and make this area of research more accessible.
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Interpolate between two matrices, plot eigenvalues in the complex plane. Gershgorin's theorem guides matrices design so eigenvalues form a Christmas tree. Yellow stars are the lights. Happy Holidays! Made with #python #numpy #matplotlib
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Yes. Software engineers will all go away. There will be a new profession of people whose only job is to tell the machines what they should do in a manner that’s efficient and precise.
Software engineer as a career is coming to a close. It may be 5 years or it may be 10 but we can all feel it, the end is beginning. May we go out in glory, and joy, and celebration for the end of a wonderful industry. We’ll have a lot of fun in these last few years
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My default workflow! This setup achieves best possible task accuracy after fixing constraints on the inference process. PDR achieves pareto frontier: "draft in parallel → distill to a compact workspace → refine" https://t.co/4Sca6dG1Uo
One workflow that seems to work really well on claude code is: Parallel Design > Distill/Summarize > Parallel Refine > implement Spawn 16 agents to design / plan topic X with detailed plan on integration Ask to spawn 16 agents to summarize each others work and check for
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From sensory to perceptual manifolds: The twist of neural geometry https://t.co/RQGlnt1jMT
#neuroscience
science.org
The brain uses geometric twists to expand neural dimensionality, thus untangling perception from sensation.
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In hindsight ominous that the US/Canada series "How it's made" stopped airing in 2019.
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This interesting paper connects @ylecun's JEPA architecture to Koopman invariants. I am confident more is to come. https://t.co/6bfSYh4VoT
#AI #JEPA #ML #DynamicalSystems #ControlTheory
arxiv.org
Joint-Embedding Predictive Architectures (JEPAs), a powerful class of self-supervised models, exhibit an unexplained ability to cluster time-series data by their underlying dynamical regimes. We...
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I taught neural nets at MIT in the 2000s. My class was in Brain & Cog Sci not EECS. The latter had trouble accepting even machine learning.
At one point, MIT thought neural networks weren’t worth teaching in intro #AI. Trends change. Fundamentals don’t.
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At one point, MIT thought neural networks weren’t worth teaching in intro #AI. Trends change. Fundamentals don’t.
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My stepfather calls them “chatgtp” “clode” and “google’s thing” as far as i can tell he uses them only for advice on woodworking projects
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Another rather useful Qwen image lora. It automatically selects the subject and makes a nice clean mask out of it. Ain't that useful? Sounds even more useful than Qwen Image Layered! https://t.co/zGhhjIzxQp
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This might be the best intro to 3D graphics I've ever seen: https://t.co/c5IhOP09Bz Runs entirely in the browser which is accessible to everyone, and breaks it down step-by-step from basics to rendering more complex model.
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Today’s hobby project: Prototyped a real-time room scanning system with live sharing to XR devices. Explore scanned spaces in 3D on XR (not flat 2D screens) and share them with remote users for spatial remote collaboration. #metaquest #augmentedreality
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From 2D video to a very rough 4D Gaussian Splatting POC on the Apple Vision Pro 👀 Took Big Buck Bunny frames, turned them into Gaussian splats with Sharp (Apple), compressed them with @playcanvas splat transform to SOG, and played all frames via WebXR + @sparkjsdev Still rough
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I’m happy to share our new paper, “KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning”: https://t.co/rB77RkzxzC This work builds on the LeJEPA framework by reinterpreting its regularization objective through the lens of kernel discrepancies.
arxiv.org
Recent breakthroughs in self-supervised Joint-Embedding Predictive Architectures (JEPAs) have established that regularizing Euclidean representations toward isotropic Gaussian priors yields...
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Cédric Villani: Fisher Information in Kinetic Theory Lecture Notes from a course at the Mathemata Summer School at Festum Pi, Chania (Crete), July 2024. V2 corr. & augmented after a careful referee report. V3: Remark 8.11 added. V4, V5: Minor Correct. https://t.co/aw7yBSzP00
arxiv.org
These notes review the theory of Fisher information, especially its use in kinetic theory of gases and plasmas. The recent monotonicity theorem by Guillen--Silvestre for the Landau--Coulomb...
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A fantastic whirlwind overview of new features in LichtFeld Studio is showcased in just 7 minutes by Kristof. Subscribe on YouTube to stay updated on future releases and watch the high-resolution version.
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