Media Summary: Ana Bušić, INRIA and École Normale Supérieure Paris Societal Networks. Ana Bušić, INRIA and École Normale Supérieure Paris Real-Time Decision Making ... Mohammad Akbarpour, Stanford University Complexity and Simplicity in Economics ...

Dynamic Matching Models - Detailed Analysis & Overview

Ana Bušić, INRIA and École Normale Supérieure Paris Societal Networks. Ana Bušić, INRIA and École Normale Supérieure Paris Real-Time Decision Making ... Mohammad Akbarpour, Stanford University Complexity and Simplicity in Economics ... David Wajc (Technion -- Israel Institute of Technology) ... 13th Innovations in Theoretical Computer Science Conference (ITCS 2022) Deterministic 13th Innovations in Theoretical Computer Science Conference (ITCS 2022)

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Dynamic Matching Models
Approximate Optimality with Bounded Regret in Dynamic Matching Models
Ana Busic - Dynamic Matching Models
Timing “Versus” Matching: Thickness and Information in Dynamic Markets
Dynamic Matching: Rounding & Sparsification (And New Tools)
Deterministic Dynamic Matching In Worst-Case Update Time
Dynamic Matching Markets - Part 2 - The Model
Dynamic Spatial Matching
Flow-Matching vs Diffusion Models explained side by side
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 3 - Flow matching
Jacob D. Leshno (Columbia University) Dynamic Matching in Overloaded Systems
Dynamic Matching Algorithms Under Vertex Updates
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Dynamic Matching Models

Dynamic Matching Models

Ana Bušić, INRIA and École Normale Supérieure Paris https://simons.berkeley.edu/talks/ana-busic-3-29-18 Societal Networks.

Approximate Optimality with Bounded Regret in Dynamic Matching Models

Approximate Optimality with Bounded Regret in Dynamic Matching Models

Ana Bušić, INRIA and École Normale Supérieure Paris Real-Time Decision Making ...

Ana Busic - Dynamic Matching Models

Ana Busic - Dynamic Matching Models

So I'll talk about

Timing “Versus” Matching: Thickness and Information in Dynamic Markets

Timing “Versus” Matching: Thickness and Information in Dynamic Markets

Mohammad Akbarpour, Stanford University Complexity and Simplicity in Economics ...

Dynamic Matching: Rounding & Sparsification (And New Tools)

Dynamic Matching: Rounding & Sparsification (And New Tools)

David Wajc (Technion -- Israel Institute of Technology) ...

Deterministic Dynamic Matching In Worst-Case Update Time

Deterministic Dynamic Matching In Worst-Case Update Time

13th Innovations in Theoretical Computer Science Conference (ITCS 2022) http://itcs-conf.org/ Deterministic

Dynamic Matching Markets - Part 2 - The Model

Dynamic Matching Markets - Part 2 - The Model

This video describes the basic

Dynamic Spatial Matching

Dynamic Spatial Matching

Yash Kanoria (Columbia University) https://simons.berkeley.edu/talks/

Flow-Matching vs Diffusion Models explained side by side

Flow-Matching vs Diffusion Models explained side by side

We explain diffusion

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 3 - Flow matching

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 3 - Flow matching

Learn more details about this course: https://online.stanford.edu/courses/cme296-diffusion-and-large-vision-

Jacob D. Leshno (Columbia University) Dynamic Matching in Overloaded Systems

Jacob D. Leshno (Columbia University) Dynamic Matching in Overloaded Systems

Jacob D. Leshno (Columbia University)

Dynamic Matching Algorithms Under Vertex Updates

Dynamic Matching Algorithms Under Vertex Updates

13th Innovations in Theoretical Computer Science Conference (ITCS 2022) http://itcs-conf.org/

The physics behind Flow Matching models

The physics behind Flow Matching models

In-depth analysis of the Flow