Machine learning

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Multi-physics Joint Inversion || Learning perturbative nonlinear oscillatory dynamics||March 6, 2026

Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration

Turn Claude Code Into Your Executive Assistant in 27 Mins

MLT | Week-4 | Session-1

MLT | Week-4 | Session-1

China Just Dropped 1 Trillion Parameter AI Model That Shocks OpenAI

AI@UCI Workshop 3/4/26 Reinforcement Learning

[ИАД, весна 2026] Введение в машинное обучение. Лекция 4: Эволюция идей машинного обучения

[IAD, Spring 2026] Introduction to Machine Learning. Lecture 4: Evolution of Machine Learning Ideas

Keynote - Era of experience (Prof. David Silver)

Google vient de réaliser l’IA générale en mathématiques

Google has just achieved general AI in mathematics

[ИАД, весна 2026] Рекомендательные системы. Лекция 2

[IAD, spring 2026] Recommender systems. Lecture 2

MENACE | EP04

Google Just Achieved Mathematical AGI

Yingzhen Li - Variational Uncertainty Decomposition for In-Context Learning

Machine Learning 1 [Even Semester 2025/2026 Telyu] - Introduction to Machine Learning

What is an explanation in machine learning?

Shapley Additive Explanations (SHAP)

LIME: local interpretable model-agnostic explanations

Intrinsically interpretable models

Gradient-based explanations (saliency maps)

Counterfactual explanations

[JC] Principles of Quantum Machine Learning and Multidisciplinary Applications of Hybrid QNNs

MLT | Week-3 | Session-1

MLT | Week-3 | Session-1

Wei Huang: Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression

Victor Churchill: Efficient Data-Driven Modeling of PDEs: Partially-Observed Flow Map Learning

Tuca Auffinger - Open Mathematical Problems in Manifold Learning for Single-Cell Data - IPAM at UCLA

Reinforcement Learning 2026 - Session 2

Reinforcement Learning 2026 - Session 2

Reinforcement Learning 2026 - Session 1

Reinforcement Learning 2026 - Session 1

James Murray Louw: Stability in learning the climate of dynamical systems with state space systems

I Can Actually Watch My AI Agents Work Now

Boumediene Hamzi: Toward an Algorithmic Theory of Machine Learning via Kernel Methods

Tobias Sutter: Towards Optimal Offline Reinforcement Learning

Lin Wan: Learning collective multicellular dynamics with an interacting mean field neural SDE model

Comment créer votre PREMIER agent IA en 2026 (sans coder)

How to create your FIRST AI agent in 2026 (without coding)

A Hitchhiker’s Guide to the World of LLM Fine-Tuning: ADIA Lab Seminar with Praneeth Vepakomma

[ИАД, весна 2026] Рекомендательные системы. Лекция 1

[IAD, Spring 2026] Recommender Systems. Lecture 1

[ИАД, весна 2026] Математические методы прогнозирования II. Лекция 1

[IAD, spring 2026] Mathematical methods of forecasting II. Lecture 1

Ying-Cheng Lai: Unsupervised learning for anticipating critical transitions

Daniel Lathrop: Using nonlinear dynamics for low-power high-speed machine learning electronics

Andrew Wilson: Epiplexity: A Measure of Structural Information Content for OOD Generalization