Media Summary: In this AI Research Roundup episode, Alex discusses the paper: ' Lecture recording of Carnegie Mellon University's Spring Nicolau Manubens (European Centre for Medium-Range Weather Forecasts) give a talk entitled "An Overview of the ECMWF's ...

Categorical Flow Maps Feb 2026 - Detailed Analysis & Overview

In this AI Research Roundup episode, Alex discusses the paper: ' Lecture recording of Carnegie Mellon University's Spring Nicolau Manubens (European Centre for Medium-Range Weather Forecasts) give a talk entitled "An Overview of the ECMWF's ... Hello! Today we're looking at Flowmaps in Unreal Engine! This is a great alternative to Panners and offers much more flexibility ... Controlling generative models—whether via inference-time steering or fine-tuning—is expensive. Control relies on estimating the ... Learn more details about this course: To follow ...

Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: ... Episode ! This week I sit down with Jennifer Roscoe and Shrishti Vaish, two of the key organizers behind Outlier In this AI Research Roundup episode, Alex discusses the paper: 'Spherical Flows for Sampling

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Categorical Flow Maps (Feb 2026)
Categorical Flow Maps: Fast Discrete Generation
CMU 10799 S26: Lecture 10 - Distillation, Consistency Models & Flow Maps - Diffusion & Flow Matching
CISL Seminar – An Overview of the ECMWF's Data Handling Approaches
1W-MINDS, April 2:  Nicholas Boffi (Carnegie Mellon University), Flow Maps: Flow-based generative...
Intro to Flow Maps [UE5]
Meta Flow Maps
MIT 6.S184: Flow Matching and Diffusion Models - Lecture 02: Flow Matching (2026)
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 3 - Flow matching
How to build a consistency model: Learning flow maps via self-distillation | Nicholas Boffi
CMU 10799 S26: Diffusion & Flow Matching - Lecture 1 - Basics of Probabilistic & Generative Modeling
Recursive Flow Matching (May 2026)
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Categorical Flow Maps (Feb 2026)

Categorical Flow Maps (Feb 2026)

Title:

Categorical Flow Maps: Fast Discrete Generation

Categorical Flow Maps: Fast Discrete Generation

In this AI Research Roundup episode, Alex discusses the paper: '

CMU 10799 S26: Lecture 10 - Distillation, Consistency Models & Flow Maps - Diffusion & Flow Matching

CMU 10799 S26: Lecture 10 - Distillation, Consistency Models & Flow Maps - Diffusion & Flow Matching

Lecture recording of Carnegie Mellon University's Spring

CISL Seminar – An Overview of the ECMWF's Data Handling Approaches

CISL Seminar – An Overview of the ECMWF's Data Handling Approaches

Nicolau Manubens (European Centre for Medium-Range Weather Forecasts) give a talk entitled "An Overview of the ECMWF's ...

1W-MINDS, April 2:  Nicholas Boffi (Carnegie Mellon University), Flow Maps: Flow-based generative...

1W-MINDS, April 2: Nicholas Boffi (Carnegie Mellon University), Flow Maps: Flow-based generative...

Flow Maps

Intro to Flow Maps [UE5]

Intro to Flow Maps [UE5]

Hello! Today we're looking at Flowmaps in Unreal Engine! This is a great alternative to Panners and offers much more flexibility ...

Meta Flow Maps

Meta Flow Maps

Controlling generative models—whether via inference-time steering or fine-tuning—is expensive. Control relies on estimating the ...

MIT 6.S184: Flow Matching and Diffusion Models - Lecture 02: Flow Matching (2026)

MIT 6.S184: Flow Matching and Diffusion Models - Lecture 02: Flow Matching (2026)

Lecture notes: https://diffusion.csail.mit.edu/

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-models To follow ...

How to build a consistency model: Learning flow maps via self-distillation | Nicholas Boffi

How to build a consistency model: Learning flow maps via self-distillation | Nicholas Boffi

Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: ...

CMU 10799 S26: Diffusion & Flow Matching - Lecture 1 - Basics of Probabilistic & Generative Modeling

CMU 10799 S26: Diffusion & Flow Matching - Lecture 1 - Basics of Probabilistic & Generative Modeling

Lecture recording of Carnegie Mellon University's Spring

Recursive Flow Matching (May 2026)

Recursive Flow Matching (May 2026)

Title: Recursive

Outlier 2026: What to Expect at This Year’s Data Visualization Society Conference #policyviz

Outlier 2026: What to Expect at This Year’s Data Visualization Society Conference #policyviz

Episode #310! This week I sit down with Jennifer Roscoe and Shrishti Vaish, two of the key organizers behind Outlier

(CVPR 2026) COT-FM: Cluster-wise Optimal Transport Flow Matching

(CVPR 2026) COT-FM: Cluster-wise Optimal Transport Flow Matching

COT-FM: Cluster-wise Optimal Transport

Spherical Flows: Sampling Categorical Data

Spherical Flows: Sampling Categorical Data

In this AI Research Roundup episode, Alex discusses the paper: 'Spherical Flows for Sampling