Sept. 13, 2022, 1:36 p.m. | /u/dimsycamore

Machine Learning www.reddit.com

Apologies if I have misunderstood any of the foundations of diffusion models, this was a thought that occurred to me when doing some analysis for my own research using random-walks and I am still learning about diffusion models and the underlying math.

​

In my research we do a lot of graph embedding. As in full graph embedding, not just node embeddings. We have recently found that depending on the "scale" of features we want the embedding to emphasize (i.e …

diffusion machinelearning process random random-walk

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

.NET Software Engineer (AI Focus)

@ Boskalis | Papendrecht, Netherlands