Reyhane Askari
@reyhaneaskari.bsky.social
Postdoc at FAIR labs
Working on diffusion models
Working on diffusion models
"Diffusion-Based In-painting of Corrupted Spectrogram"
We propose a series of solutions to remove radio frequency interference from astronomical spectrograms using diffusion models
Sunday 15 Dec, 16:15 - 17:25pm, ML and the Physical Sciences Workshop, West Exhibition Hall C, B3
We propose a series of solutions to remove radio frequency interference from astronomical spectrograms using diffusion models
Sunday 15 Dec, 16:15 - 17:25pm, ML and the Physical Sciences Workshop, West Exhibition Hall C, B3
December 9, 2024 at 10:07 PM
"Diffusion-Based In-painting of Corrupted Spectrogram"
We propose a series of solutions to remove radio frequency interference from astronomical spectrograms using diffusion models
Sunday 15 Dec, 16:15 - 17:25pm, ML and the Physical Sciences Workshop, West Exhibition Hall C, B3
We propose a series of solutions to remove radio frequency interference from astronomical spectrograms using diffusion models
Sunday 15 Dec, 16:15 - 17:25pm, ML and the Physical Sciences Workshop, West Exhibition Hall C, B3
"Deliberate practice with Synthetic data"
We propose a new framework to modify text-to-image models to generates synthetic examples tailored to a model’s weaknesses during training.
Saturday 14 Dec. 10:45 - 11:45am, Workshop on Adaptive Foundation Models, Exhibit Hall A
We propose a new framework to modify text-to-image models to generates synthetic examples tailored to a model’s weaknesses during training.
Saturday 14 Dec. 10:45 - 11:45am, Workshop on Adaptive Foundation Models, Exhibit Hall A
December 9, 2024 at 10:07 PM
"Deliberate practice with Synthetic data"
We propose a new framework to modify text-to-image models to generates synthetic examples tailored to a model’s weaknesses during training.
Saturday 14 Dec. 10:45 - 11:45am, Workshop on Adaptive Foundation Models, Exhibit Hall A
We propose a new framework to modify text-to-image models to generates synthetic examples tailored to a model’s weaknesses during training.
Saturday 14 Dec. 10:45 - 11:45am, Workshop on Adaptive Foundation Models, Exhibit Hall A
"On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models"
This paper explores the state space of training diffusion models, focusing on conditioning mechanisms and representation transfer
Main conference, Wed 11 Dec 4:30-7:30pm, East Exhibit Hall A-C
This paper explores the state space of training diffusion models, focusing on conditioning mechanisms and representation transfer
Main conference, Wed 11 Dec 4:30-7:30pm, East Exhibit Hall A-C
December 9, 2024 at 10:07 PM
"On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models"
This paper explores the state space of training diffusion models, focusing on conditioning mechanisms and representation transfer
Main conference, Wed 11 Dec 4:30-7:30pm, East Exhibit Hall A-C
This paper explores the state space of training diffusion models, focusing on conditioning mechanisms and representation transfer
Main conference, Wed 11 Dec 4:30-7:30pm, East Exhibit Hall A-C
I can't even see your post.
November 29, 2024 at 12:42 AM
I can't even see your post.
Looking forward to your talk, title looks interesting👀
Is it based on a work that we can take a sneak peek?
Is it based on a work that we can take a sneak peek?
November 25, 2024 at 9:47 PM
Looking forward to your talk, title looks interesting👀
Is it based on a work that we can take a sneak peek?
Is it based on a work that we can take a sneak peek?