Lazar Atanackovic
@lazaratan.bsky.social
Incoming Assistant Prof, University of Alberta. Research Fellow at Amii. Currently, postdoc fellow the Broad Institute.
Happy to announce that SuperDiff got a spotlight at #ICLR2025! 🪩🪩
Can you guess the prompts that generated the images in our prompt guessing game?
Can you guess the prompts that generated the images in our prompt guessing game?
SuperDiff goes super big!
- Spotlight at #ICLR2025!🥳
- Stable Diffusion XL pipeline on HuggingFace huggingface.co/superdiff/su... made by Viktor Ohanesian
- New results for molecules in the camera-ready arxiv.org/abs/2412.17762
Let's celebrate with a prompt guessing game in the thread👇
- Spotlight at #ICLR2025!🥳
- Stable Diffusion XL pipeline on HuggingFace huggingface.co/superdiff/su... made by Viktor Ohanesian
- New results for molecules in the camera-ready arxiv.org/abs/2412.17762
Let's celebrate with a prompt guessing game in the thread👇
March 6, 2025 at 9:07 PM
Happy to announce that SuperDiff got a spotlight at #ICLR2025! 🪩🪩
Can you guess the prompts that generated the images in our prompt guessing game?
Can you guess the prompts that generated the images in our prompt guessing game?
Reposted by Lazar Atanackovic
To figure out what it takes to make flow matching models solve single-cell biology questions, I discussed with Alessandro Palma, Doron Haviv, and Lazar Atanackovic.
The insights they shared are presented here: tinyurl.com/278s5m58
@dorontheviking.bsky.social @lazaratan.bsky.social
The insights they shared are presented here: tinyurl.com/278s5m58
@dorontheviking.bsky.social @lazaratan.bsky.social
Matching flows to data
Models that fit like water in a vessel.
tinyurl.com
February 24, 2025 at 5:58 AM
To figure out what it takes to make flow matching models solve single-cell biology questions, I discussed with Alessandro Palma, Doron Haviv, and Lazar Atanackovic.
The insights they shared are presented here: tinyurl.com/278s5m58
@dorontheviking.bsky.social @lazaratan.bsky.social
The insights they shared are presented here: tinyurl.com/278s5m58
@dorontheviking.bsky.social @lazaratan.bsky.social
Reposted by Lazar Atanackovic
2/2 Papers accepted at #ICLR2025. Congrats to all my co-authors 🥳. Definitely check out these works if you're interested in fine-tuning/composing diffusion models!
Papers in thread 🧵 below 👇
Papers in thread 🧵 below 👇
January 22, 2025 at 5:16 PM
2/2 Papers accepted at #ICLR2025. Congrats to all my co-authors 🥳. Definitely check out these works if you're interested in fine-tuning/composing diffusion models!
Papers in thread 🧵 below 👇
Papers in thread 🧵 below 👇
Reposted by Lazar Atanackovic
We've been sharing these projects during the year, but today, they have been accepted at #ICLR2025 (1-3) and #AISTATS2025 (4)
January 22, 2025 at 5:58 PM
We've been sharing these projects during the year, but today, they have been accepted at #ICLR2025 (1-3) and #AISTATS2025 (4)
Reposted by Lazar Atanackovic
"The Superposition of Diffusion Models using the Îto Density Estimator" (@martaowesyou.bsky.social, @lazaratan.bsky.social et al.)
It's nice to see an easy-to-compute log-likelihood estimator for SDE sampling of diffusion models (not just ODE)
📄 arxiv.org/abs/2412.17762
🐍 github.com/necludov/sup...
It's nice to see an easy-to-compute log-likelihood estimator for SDE sampling of diffusion models (not just ODE)
📄 arxiv.org/abs/2412.17762
🐍 github.com/necludov/sup...
January 5, 2025 at 10:22 AM
"The Superposition of Diffusion Models using the Îto Density Estimator" (@martaowesyou.bsky.social, @lazaratan.bsky.social et al.)
It's nice to see an easy-to-compute log-likelihood estimator for SDE sampling of diffusion models (not just ODE)
📄 arxiv.org/abs/2412.17762
🐍 github.com/necludov/sup...
It's nice to see an easy-to-compute log-likelihood estimator for SDE sampling of diffusion models (not just ODE)
📄 arxiv.org/abs/2412.17762
🐍 github.com/necludov/sup...
Reposted by Lazar Atanackovic
Super super excited to share our work SuperDiff 🦹♀️ for superimposing pretrained diffusion models at inference time 💪
Check out the 🧵 to see how we superimposed proteins as well as images, all thanks to a fast new density estimator. Curious to see what 🍩 & 🗺️ would produce?
Check out the 🧵 to see how we superimposed proteins as well as images, all thanks to a fast new density estimator. Curious to see what 🍩 & 🗺️ would produce?
🧵(1/7) Have you ever wanted to combine different pre-trained diffusion models but don't have time or data to retrain a new, bigger model?
🚀 Introducing SuperDiff 🦹♀️ – a principled method for efficiently combining multiple pre-trained diffusion models solely during inference!
🚀 Introducing SuperDiff 🦹♀️ – a principled method for efficiently combining multiple pre-trained diffusion models solely during inference!
December 28, 2024 at 7:53 PM
Super super excited to share our work SuperDiff 🦹♀️ for superimposing pretrained diffusion models at inference time 💪
Check out the 🧵 to see how we superimposed proteins as well as images, all thanks to a fast new density estimator. Curious to see what 🍩 & 🗺️ would produce?
Check out the 🧵 to see how we superimposed proteins as well as images, all thanks to a fast new density estimator. Curious to see what 🍩 & 🗺️ would produce?
Reposted by Lazar Atanackovic
Work with an absolute dream of a team: @lazaratan.bsky.social @joeybose.bsky.social @alextong.bsky.social and @k-neklyudov.bsky.social 🤗🚀⚡️
📄Paper: arxiv.org/abs/2412.17762
💻Code: github.com/necludov/sup...
🤗HuggingFace: huggingface.co/superdiff
📄Paper: arxiv.org/abs/2412.17762
💻Code: github.com/necludov/sup...
🤗HuggingFace: huggingface.co/superdiff
The Superposition of Diffusion Models Using the Itô Density Estimator
The Cambrian explosion of easily accessible pre-trained diffusion models suggests a demand for methods that combine multiple different pre-trained diffusion models without incurring the significant co...
arxiv.org
December 28, 2024 at 7:53 PM
Work with an absolute dream of a team: @lazaratan.bsky.social @joeybose.bsky.social @alextong.bsky.social and @k-neklyudov.bsky.social 🤗🚀⚡️
📄Paper: arxiv.org/abs/2412.17762
💻Code: github.com/necludov/sup...
🤗HuggingFace: huggingface.co/superdiff
📄Paper: arxiv.org/abs/2412.17762
💻Code: github.com/necludov/sup...
🤗HuggingFace: huggingface.co/superdiff
Thrilled to share our latest work, SuperDiff! 🚀
A principled way for combining pre-trained diffusion models solely at inference time! We provide a new way for estimating density (w/o divergence) and show its use for mixing concepts!
Check out🧵 for details!
bsky.app/profile/k-ne...
A principled way for combining pre-trained diffusion models solely at inference time! We provide a new way for estimating density (w/o divergence) and show its use for mixing concepts!
Check out🧵 for details!
bsky.app/profile/k-ne...
🧵(1/7) Have you ever wanted to combine different pre-trained diffusion models but don't have time or data to retrain a new, bigger model?
🚀 Introducing SuperDiff 🦹♀️ – a principled method for efficiently combining multiple pre-trained diffusion models solely during inference!
🚀 Introducing SuperDiff 🦹♀️ – a principled method for efficiently combining multiple pre-trained diffusion models solely during inference!
December 28, 2024 at 5:58 PM
Thrilled to share our latest work, SuperDiff! 🚀
A principled way for combining pre-trained diffusion models solely at inference time! We provide a new way for estimating density (w/o divergence) and show its use for mixing concepts!
Check out🧵 for details!
bsky.app/profile/k-ne...
A principled way for combining pre-trained diffusion models solely at inference time! We provide a new way for estimating density (w/o divergence) and show its use for mixing concepts!
Check out🧵 for details!
bsky.app/profile/k-ne...