Olga Zaghen
@olgatticus.bsky.social
MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨
bit.ly/olga-zaghen
bit.ly/olga-zaghen
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Olga Zaghen
@olgatticus.bsky.social
· Nov 20
A starter pack for researchers interested in Geometric Deep Learning - in the broadest sense possible!
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
Super happy to share our work was accepted as an Oral at the Delta Workshop @ ICLR 2025! 🎉
Can’t wait to talk about it in Singapore 😎
Congrats to the amazing team @eijkelboomfloor.bsky.social @alisometry.bsky.social @erikjbekkers.bsky.social 🔥
Can’t wait to talk about it in Singapore 😎
Congrats to the amazing team @eijkelboomfloor.bsky.social @alisometry.bsky.social @erikjbekkers.bsky.social 🔥
Variational Flow Matching goes Riemannian! 🔮
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
March 6, 2025 at 2:03 PM
Super happy to share our work was accepted as an Oral at the Delta Workshop @ ICLR 2025! 🎉
Can’t wait to talk about it in Singapore 😎
Congrats to the amazing team @eijkelboomfloor.bsky.social @alisometry.bsky.social @erikjbekkers.bsky.social 🔥
Can’t wait to talk about it in Singapore 😎
Congrats to the amazing team @eijkelboomfloor.bsky.social @alisometry.bsky.social @erikjbekkers.bsky.social 🔥
Reposted by Olga Zaghen
🤹 Excited to share Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
March 5, 2025 at 6:04 PM
🤹 Excited to share Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
Reposted by Olga Zaghen
Super excited about this project!! Amazing work by @olgatticus.bsky.social and others ❤️
Variational Flow Matching goes Riemannian! 🔮
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
February 19, 2025 at 3:20 PM
Super excited about this project!! Amazing work by @olgatticus.bsky.social and others ❤️
Variational Flow Matching goes Riemannian! 🔮
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
February 19, 2025 at 3:13 PM
Variational Flow Matching goes Riemannian! 🔮
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
In this preliminary work, we derive a variational objective for probability flows 🌀 on manifolds with closed-form geodesics, and discuss some interesting results.
Dream team: Floor, Alison & Erik (their @ below) 💥
📜 arxiv.org/abs/2502.12981
🧵1/5
Reposted by Olga Zaghen
Welcome to our Bluesky account! 🦋
We're excited to announce ComBayNS workshop: Combining Bayesian & Neural Approaches for Structured Data 🌐
Submit your paper and join us in Rome for #IJCNN2025! 🇮🇹
📅 Papers Due: March 20th, 2025 📜
Webpage: combayns2025.github.io
We're excited to announce ComBayNS workshop: Combining Bayesian & Neural Approaches for Structured Data 🌐
Submit your paper and join us in Rome for #IJCNN2025! 🇮🇹
📅 Papers Due: March 20th, 2025 📜
Webpage: combayns2025.github.io
Home - ComBayNS 2025 Workshop @ IJCNN 2025
combayns2025.github.io
February 13, 2025 at 9:18 AM
Welcome to our Bluesky account! 🦋
We're excited to announce ComBayNS workshop: Combining Bayesian & Neural Approaches for Structured Data 🌐
Submit your paper and join us in Rome for #IJCNN2025! 🇮🇹
📅 Papers Due: March 20th, 2025 📜
Webpage: combayns2025.github.io
We're excited to announce ComBayNS workshop: Combining Bayesian & Neural Approaches for Structured Data 🌐
Submit your paper and join us in Rome for #IJCNN2025! 🇮🇹
📅 Papers Due: March 20th, 2025 📜
Webpage: combayns2025.github.io
Reposted by Olga Zaghen
🌟 Call for Papers – ComBayNS Workshop at IJCNN 2025 🌟
Workshop page: combayns2025.github.io
We are thrilled to announce the #workshop “ComBayNS: Combining Bayesian and Neural approaches for Structured data” at the upcoming International Joint Conference on Neural Networks (#IJCNN).
A thread 🧵
Workshop page: combayns2025.github.io
We are thrilled to announce the #workshop “ComBayNS: Combining Bayesian and Neural approaches for Structured data” at the upcoming International Joint Conference on Neural Networks (#IJCNN).
A thread 🧵
Home - ComBayNS 2025 Workshop @ IJCNN 2025
combayns2025.github.io
January 27, 2025 at 11:37 AM
🌟 Call for Papers – ComBayNS Workshop at IJCNN 2025 🌟
Workshop page: combayns2025.github.io
We are thrilled to announce the #workshop “ComBayNS: Combining Bayesian and Neural approaches for Structured data” at the upcoming International Joint Conference on Neural Networks (#IJCNN).
A thread 🧵
Workshop page: combayns2025.github.io
We are thrilled to announce the #workshop “ComBayNS: Combining Bayesian and Neural approaches for Structured data” at the upcoming International Joint Conference on Neural Networks (#IJCNN).
A thread 🧵
Reposted by Olga Zaghen
This is how it should be: one file, ctrl+c ctrl+v runnable from a notebook. I really do not want to mess with omegaconf, hydra or, the worst, a custom configuration system just to figure out how your model runs.
January 26, 2025 at 11:17 AM
This is how it should be: one file, ctrl+c ctrl+v runnable from a notebook. I really do not want to mess with omegaconf, hydra or, the worst, a custom configuration system just to figure out how your model runs.
❤️❤️❤️
The Christmas spirit has arrived at AMLab! 🎄✨
Yesterday we kicked off the holidays with a festive group dinner and a fun Secret Santa exchange. 🎅
Wishing everyone a restful and joyful winter break and a happy new year! ❄️💫
Yesterday we kicked off the holidays with a festive group dinner and a fun Secret Santa exchange. 🎅
Wishing everyone a restful and joyful winter break and a happy new year! ❄️💫
December 20, 2024 at 10:39 AM
❤️❤️❤️
Reposted by Olga Zaghen
If you are attending #NeurIPS2024🇨🇦, make sure to check out AMLab's 11 accepted papers ...and to have a chat with our members there! 👩🔬🍻☕
Submissions include generative modelling, AI4Science, geometric deep learning, reinforcement learning and early exiting. See the thread for the full list!
🧵1 / 12
Submissions include generative modelling, AI4Science, geometric deep learning, reinforcement learning and early exiting. See the thread for the full list!
🧵1 / 12
December 9, 2024 at 1:24 PM
If you are attending #NeurIPS2024🇨🇦, make sure to check out AMLab's 11 accepted papers ...and to have a chat with our members there! 👩🔬🍻☕
Submissions include generative modelling, AI4Science, geometric deep learning, reinforcement learning and early exiting. See the thread for the full list!
🧵1 / 12
Submissions include generative modelling, AI4Science, geometric deep learning, reinforcement learning and early exiting. See the thread for the full list!
🧵1 / 12
Reposted by Olga Zaghen
Come and check out our poster on the UniReps workshop at @neuripsconf.bsky.social !
Thanks again to the amazing Giovanni Marchetti, Martina Scolamiero, and Danica Kragic ❤️
See more at: arxiv.org/abs/2409.10967
Thanks again to the amazing Giovanni Marchetti, Martina Scolamiero, and Danica Kragic ❤️
See more at: arxiv.org/abs/2409.10967
December 7, 2024 at 1:48 PM
Come and check out our poster on the UniReps workshop at @neuripsconf.bsky.social !
Thanks again to the amazing Giovanni Marchetti, Martina Scolamiero, and Danica Kragic ❤️
See more at: arxiv.org/abs/2409.10967
Thanks again to the amazing Giovanni Marchetti, Martina Scolamiero, and Danica Kragic ❤️
See more at: arxiv.org/abs/2409.10967
Reposted by Olga Zaghen
🐑 Come and check out Variational Flow Matching for Graph Generation next week at @neuripsconf.bsky.social ! 🐑
Wed 11 Dec 11 a.m. PST — 2 p.m. PST
West Ballroom A-D #7103
arxiv.org/abs/2406.04843
Wed 11 Dec 11 a.m. PST — 2 p.m. PST
West Ballroom A-D #7103
arxiv.org/abs/2406.04843
December 6, 2024 at 10:20 PM
🐑 Come and check out Variational Flow Matching for Graph Generation next week at @neuripsconf.bsky.social ! 🐑
Wed 11 Dec 11 a.m. PST — 2 p.m. PST
West Ballroom A-D #7103
arxiv.org/abs/2406.04843
Wed 11 Dec 11 a.m. PST — 2 p.m. PST
West Ballroom A-D #7103
arxiv.org/abs/2406.04843
Go chat with ✨the Davids✨, super smart and cool guys!
Now still RV'ing w/ @davidmknigge.bsky.social around Vancouver Island, but looking forward to Neurips2024!
We will present our work on solving PDEs with space-time continuous representations using Equivariant Neural Fields (ENF) 🏄♀️🌊
Would love to meet and chat if interested!!
We will present our work on solving PDEs with space-time continuous representations using Equivariant Neural Fields (ENF) 🏄♀️🌊
Would love to meet and chat if interested!!
December 6, 2024 at 6:43 AM
Go chat with ✨the Davids✨, super smart and cool guys!
Reposted by Olga Zaghen
Arxiv sharing reminder
pdf ❌
abs ✅
pdf ❌
abs ✅
November 26, 2024 at 8:42 AM
Arxiv sharing reminder
pdf ❌
abs ✅
pdf ❌
abs ✅
Reposted by Olga Zaghen
Looking at ICLR submissions with the lowest score - What a work of art! 🧵
November 25, 2024 at 5:52 PM
Looking at ICLR submissions with the lowest score - What a work of art! 🧵
Reposted by Olga Zaghen
Meet our Lab's members: staff, postdocs and PhD students! :)
With this starter pack you can easily connect with us and keep up to date with all the member's research and news 🦋
go.bsky.app/8EGigUy
With this starter pack you can easily connect with us and keep up to date with all the member's research and news 🦋
go.bsky.app/8EGigUy
November 21, 2024 at 9:22 PM
Meet our Lab's members: staff, postdocs and PhD students! :)
With this starter pack you can easily connect with us and keep up to date with all the member's research and news 🦋
go.bsky.app/8EGigUy
With this starter pack you can easily connect with us and keep up to date with all the member's research and news 🦋
go.bsky.app/8EGigUy
Reposted by Olga Zaghen
🚨 Happening today! 🚨
⏰ 4 PM CET / 10 AM EST
👩💻 Zoom link is in the link below
🏢 You can attend in person in L3.36, Science Park, University of Amsterdam
Join us for this exciting talk! :)
⏰ 4 PM CET / 10 AM EST
👩💻 Zoom link is in the link below
🏢 You can attend in person in L3.36, Science Park, University of Amsterdam
Join us for this exciting talk! :)
Soon, @erikjbekkers.bsky.social and @davidmknigge.bsky.social will give a talk elaborating even further on geometry-grounded representation learning in a NeurReps seminar. Make sure to mark the date! :)
⏰ November 21st, 4 PM CET
🔗 www.neurreps.org/speaker-seri...
⏰ November 21st, 4 PM CET
🔗 www.neurreps.org/speaker-seri...
November 21, 2024 at 9:07 AM
🚨 Happening today! 🚨
⏰ 4 PM CET / 10 AM EST
👩💻 Zoom link is in the link below
🏢 You can attend in person in L3.36, Science Park, University of Amsterdam
Join us for this exciting talk! :)
⏰ 4 PM CET / 10 AM EST
👩💻 Zoom link is in the link below
🏢 You can attend in person in L3.36, Science Park, University of Amsterdam
Join us for this exciting talk! :)
Reposted by Olga Zaghen
Let us know if you would like to be added to the list. Looking forward to seeing the GDL community here 🦋
Also, follow @gram-org.bsky.social for GRaM workshop related updates.
Also, follow @gram-org.bsky.social for GRaM workshop related updates.
A starter pack for researchers interested in Geometric Deep Learning - in the broadest sense possible!
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
November 20, 2024 at 3:56 PM
Let us know if you would like to be added to the list. Looking forward to seeing the GDL community here 🦋
Also, follow @gram-org.bsky.social for GRaM workshop related updates.
Also, follow @gram-org.bsky.social for GRaM workshop related updates.
A starter pack for researchers interested in Geometric Deep Learning - in the broadest sense possible!
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
November 20, 2024 at 3:35 PM
A starter pack for researchers interested in Geometric Deep Learning - in the broadest sense possible!
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
Let me know if you would like to be listed. :)
Thanks @sharvaree.bsky.social for the idea!
go.bsky.app/7h8sek
Reposted by Olga Zaghen
Yesterday, @erikjbekkers.bsky.social presented his vision on equivariance to IvI (at UvA), showcasing recent work on geometry-grounded representation learning - addressing fundamental limitations in geometric reasoning of current AI systems. 🤖
Exciting times ahead for geometric deep learning! 🌐 🤩
Exciting times ahead for geometric deep learning! 🌐 🤩
November 19, 2024 at 4:11 PM
Yesterday, @erikjbekkers.bsky.social presented his vision on equivariance to IvI (at UvA), showcasing recent work on geometry-grounded representation learning - addressing fundamental limitations in geometric reasoning of current AI systems. 🤖
Exciting times ahead for geometric deep learning! 🌐 🤩
Exciting times ahead for geometric deep learning! 🌐 🤩