Machine learning

Reinforcement Learning via Self-Distillation

MLP Live session

La nouvelle IA de Google révolutionne les maths… Elle invente ses propres algorithmes !

Google's new AI revolutionizes math... It invents its own algorithms!

Building, Extending, & Customizing Foundation Models: FoxBrain’s Journey to Industrial Frontier AI

[ИАД, весна 2026] Математические методы прогнозирования II. Лекция 3

[IAD, Spring 2026] Mathematical Methods of Forecasting II. Lecture 3

Google’s New AI Just Broke Math… (Invented Its Own Algorithms)

Pierre-Alexandre Mattei - Ensembles in machine learning: (simple) theory and (simple) practice

Machine Learning 3 [Even Semester 2025/2026 Telyu] - Decision Tree & KNN

L'IA prépare tous mes RDV en 30 secondes (je vous montre comment)

AI prepares all my appointments in 30 seconds (I'll show you how)

[ИАД, весна 2026] Байесовский выбор моделей II. Лекция 3: Графические модели

[IAD, spring 2026] Bayesian model selection II. Lecture 3: Graphical models

When AI Discovers the Next Transformer — Robert Lange

Skills vs plugins Claude : la différence qui sépare les débutants des pros

Skills vs plugins Claude: the difference that separates beginners from pros

Lejepa, la receta maestra de Yann Lecun

LEJEPA, Yann LeCun's Master Recipe

Kaggle Assignment Intro

Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA

Claude vient de devenir CONSCIENT

Claude has just become CONSCIOUS

Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA

[ИАД, весна 2026] Введение в машинное обучение. Лекция 5: Обучаемая векторизация данных

[IAD, spring 2026] Introduction to Machine Learning. Lecture 5: Trainable Data Vectorization

QTML 2025: Testing and Verification for Quantum Learning

QTML 2025: Scalable quantum machine learning models in Fourier space

QTML 2025: On The Cost Of Training (Adversarially-Robust) Quantum Models

QTML 2025: Learning Quantum States with Tunable Loss Functions

QTML 2025: Designing Quantum Machine Learning Models for Graphs

QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models

QTML 2025: A Bit of Freedom Goes a Long Way: Quantum and Classical Algorithms

QTML 2025: StoCQS: Stochastic Strategy For Ansatz Tree Construction In Krylov-Based Linear Solver

Ils ont Résolu les Hallucinations de l'IA !

They Solved AI Hallucinations!

Google's New Model + Claude Code Just Changed RAG Forever

Friendly Introduction to Quantum and Quantum-Inspired Machine Learning

[ИАД, весна 2026] Математические методы анализа текстов. Лекция 5: LLM Pre-Train

[IAD, Spring 2026] Mathematical Methods of Text Analysis. Lecture 5: LLM Pre-Train

MLP Live session Week 5

LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal

Google Just Dropped Bayesian: AI That Evolves In Real Time

10 years of AlphaGo: The turning point for AI | Thore Graepel & Pushmeet Kohli

Responsibly Improving AI with Privacy-Sensitive Data: Principles, Theory, and Practice | Richard...

Machine Learning 2 [Even Semester 2025/2026 Telyu] - The Linear Models

Claude Cowork trouve des clients à ma place.. c'est bluffant.

Claude Cowork finds clients in my place... it's amazing.

Yuma Nakamura: Ensemble Reservoir Computing for Physical Systems

Yingdong Lu: Stability and geometric structure of the Gradient Flows for In-Context Learning

Warrens toolchain