Stéphane Mallat: "Scattering Invariant Deep Networks for Classification, Pt. 1"
Graduate Summer School 2012: Deep Learning, Feature Learning "Scattering Invariant Deep Networks for Classification, Pt. 1" Stéphane Mallat, École Polytechnique Institute for Pure and Applied Mathematics, UCLA July 18, 2012 For more information: https://www.ipam.ucla.edu/programs/su...
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Stéphane Mallat: "Scattering Invariant Deep Networks for Classification, Pt. 2"
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Yann LeCun's $1B Bet Against LLMs [Part 1]
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Stéphane Mallat: A Wavelet Zoom to Analyze a Multiscale World
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Iain Murray: "Introduction to MCMC for Deep Learning"
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Stéphane Mallat - Multiscale Models for Image Classification and Physics with Deep Networks
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Wavelets: a mathematical microscope
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Stéphane Mallat: "Scattering Invariant Deep Networks for Classification, Pt. 3"
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Emmanuel Candès: Wavelets, sparsity and its consequences
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Norwegen – Frankreich Highlights | Gruppe I, FIFA WM 2026 | sportstudio
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Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!
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The Hardest Questions in Physics | World Science Festival
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained)
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Light & Coherence part 1: Temporal Coherence
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Yoshua Bengio: "Representation Learning and Deep Learning, Pt. 1"
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Stéphane MALLAT - Mathematical mysteries of deep neural networks
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The problem with pretending quantum mechanics makes sense | Sean Carroll
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AI as a stress test for the free market economy. - Prof. Dr. Markus Gabriel
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