Neural networks and fuzzy systems

Paul Riechers - The shape of beliefs and abstraction in neural networks - IPAM at UCLA

Yusu Wang - Neural Network Generalization through an algorithmic lens - IPAM at UCLA

Let me explain Looped Transformers to you

Max Tegmark - Neural network interpretability: symmetry, geometry and formal verification

Mayank Jobanputra: Born a Transformer, Always a Transformer? On the Effect of Pretraining

Lec 26: Transformers - III

Lec 25: Transformers - II

Lec 30: PyTorch DDP Deep Dive

Lec 24: Transformers - I

Why Frontier AI Labs Fight to Hide Chain of Thought — Ilia Shumailov & Alexander Panfilov

Voici pourquoi il ne faut jamais parier contre Elon Musk

Here is why you should never bet against Elon Musk

Every Confusing Thing About Neural Networks Explained Slowly (For Sleep)

MLP Live session (17-08-2026)

Lec 19: Sequence Modelling

Lec 18: LSTM

Lec 17: Training of RNN

MLP Live session (13-08-2026)

Literally Everything About How Neural Networks Learn Explained Slowly (For Sleep)

Neural Network Models for Acoustic Wave Scattering by Souryajit Roy

Dana Arad: SAEs for Content Control (2026-02-05)

CCN 2026 | GAC: Do World Models Emerge in Neural Networks Trained for Prediction?

MLP Live session (10-08-2026)

INSPIRE: Intent-aware Neural Sponsored Product Retrieval for E-commerce

KANDy: Kolmogorov-Arnold Networks for Dynamics and Emerging Variants || Aug 7, 2026

Samyak Jain: Designing a Neural Compressor

Lec 16: Sequential Modelling

Lec 15: CNN Model Architectures - II

Lec 14: CNN with Residual connections - ResNet

What Are Large Database Models? AI for SQL Data

Neural-Hybrid Correctors with Solver-in-the-loop in JAX

MLP Live session

Stanford CS229 Machine Learning | Spring 2026 | Lecture 16: Basic Concept in RL, Policy Gradient

Neural Network-Based Estimation of Time-Dependent Parameters || July 31, 2026

MLP Live session

Stanford CS229 Machine Learning | Spring 2026 | Lecture 8: Neural Networks 2 (Backprop)

Stanford CS229 Machine Learning | Spring 2026 | Lecture 7: Neural Networks 1 (Architecture)

Lec 16: The Training Loop

MLP Live session Week 7

Claude Opus 5 : est-ce la meilleure IA du moment ? (OUI)

Claude Opus 3: Is it the best AI right now? (YES)

Symmetry-Preserving Compilers || Adaptive Spectral & Low-Rank Representations NOs|| July 24, 2026