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
Pinned
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
Best lab in the most wonderful city: the perfect opportunity! Come join us 🦾🌟
We're looking for a new colleague at @amlab.bsky.social: Assistant Professor in AI for Science 🔬🤖
World-class ML research, Amsterdam's thriving AI ecosystem (ELLIS, startups, big tech), and some of the best academic labor conditions in Europe ❤️
Deadline: May 30 👉 werkenbij.uva.nl/en/vacancies...
World-class ML research, Amsterdam's thriving AI ecosystem (ELLIS, startups, big tech), and some of the best academic labor conditions in Europe ❤️
Deadline: May 30 👉 werkenbij.uva.nl/en/vacancies...
Vacancy — Assistant Professor in AI for Science (AI4Science)
<p><span>Are you passionate about advancing Machine Learning by integrating insights from the natural sciences? Are you eager to bridge the 3rd (<em><span>computational</span></em>) and 4th (<em><span...
werkenbij.uva.nl
April 15, 2026 at 7:28 AM
Best lab in the most wonderful city: the perfect opportunity! Come join us 🦾🌟
Reposted by Olga Zaghen
Checkout this cute blogpost on Jacobi fields! They were used to link Variational and Riemannian flow matching in Olga’s paper ☀️
🔮 Working on ML on curved manifolds? Don't miss out on Jacobi Fields! 🔮
I wrote a quick, highly visual and hopefully accessible introduction to the topic: "Jacobi Fields in Machine Learning" 🤠 Check it out here: olgatticus.github.io/blog/jacobi-...!
I wrote a quick, highly visual and hopefully accessible introduction to the topic: "Jacobi Fields in Machine Learning" 🤠 Check it out here: olgatticus.github.io/blog/jacobi-...!
Jacobi Fields in Machine Learning — Olga Zaghen
An intuitive introduction to Jacobi fields and their applications in machine learning on Riemannian manifolds.
olgatticus.github.io
March 23, 2026 at 5:29 PM
Checkout this cute blogpost on Jacobi fields! They were used to link Variational and Riemannian flow matching in Olga’s paper ☀️
🔮 Working on ML on curved manifolds? Don't miss out on Jacobi Fields! 🔮
I wrote a quick, highly visual and hopefully accessible introduction to the topic: "Jacobi Fields in Machine Learning" 🤠 Check it out here: olgatticus.github.io/blog/jacobi-...!
I wrote a quick, highly visual and hopefully accessible introduction to the topic: "Jacobi Fields in Machine Learning" 🤠 Check it out here: olgatticus.github.io/blog/jacobi-...!
Jacobi Fields in Machine Learning — Olga Zaghen
An intuitive introduction to Jacobi fields and their applications in machine learning on Riemannian manifolds.
olgatticus.github.io
March 23, 2026 at 4:02 PM
🔮 Working on ML on curved manifolds? Don't miss out on Jacobi Fields! 🔮
I wrote a quick, highly visual and hopefully accessible introduction to the topic: "Jacobi Fields in Machine Learning" 🤠 Check it out here: olgatticus.github.io/blog/jacobi-...!
I wrote a quick, highly visual and hopefully accessible introduction to the topic: "Jacobi Fields in Machine Learning" 🤠 Check it out here: olgatticus.github.io/blog/jacobi-...!
Reposted by Olga Zaghen
🚨2 PhD positions with me @amlab.bsky.social on learning causally grounded concepts 🚨
Are you interested in improving the #interpretability #robustness and #safety of AI by integrating #causal reasoning? Join us in beautiful Amsterdam 🇳🇱🌷🚲
Deadline: 20 April
www.academictransfer.com/en/jobs/3593...
Are you interested in improving the #interpretability #robustness and #safety of AI by integrating #causal reasoning? Join us in beautiful Amsterdam 🇳🇱🌷🚲
Deadline: 20 April
www.academictransfer.com/en/jobs/3593...
2 PhD Positions on Learning Causally Grounded Concepts for Safe AI
Are you interested in improving the interpretability, robustness and safety of AI by integrating causal reasoning? The Causality team in the AMLab group at the University of Amsterdam is looking for 2...
www.academictransfer.com
March 13, 2026 at 5:58 PM
🚨2 PhD positions with me @amlab.bsky.social on learning causally grounded concepts 🚨
Are you interested in improving the #interpretability #robustness and #safety of AI by integrating #causal reasoning? Join us in beautiful Amsterdam 🇳🇱🌷🚲
Deadline: 20 April
www.academictransfer.com/en/jobs/3593...
Are you interested in improving the #interpretability #robustness and #safety of AI by integrating #causal reasoning? Join us in beautiful Amsterdam 🇳🇱🌷🚲
Deadline: 20 April
www.academictransfer.com/en/jobs/3593...
Interested in the analysis of GNN expressive power, limitations of the WL test or more in general in the definition of complete metrics on graphs? 👀
Check out this super cool work led by
@martin.topology.rocks !🔥
Check out this super cool work led by
@martin.topology.rocks !🔥
To kick off the PhD journey with @pseudomanifold.topology.rocks:
What are the limitations of the WL metric, and what is an 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘷𝘦 𝘮𝘦𝘵𝘳𝘪𝘤?
We answer these questions with our 𝗚𝗿𝗮𝗽𝗵 𝗛𝗼𝗺𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝘀𝗺 𝗗𝗶𝘀𝘁𝗼𝗿𝘁𝗶𝗼𝗻
arxiv.org/abs/2511.03068
@olgatticus.bsky.social, Kavir and @erikjbekkers.bsky.social
What are the limitations of the WL metric, and what is an 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘷𝘦 𝘮𝘦𝘵𝘳𝘪𝘤?
We answer these questions with our 𝗚𝗿𝗮𝗽𝗵 𝗛𝗼𝗺𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝘀𝗺 𝗗𝗶𝘀𝘁𝗼𝗿𝘁𝗶𝗼𝗻
arxiv.org/abs/2511.03068
@olgatticus.bsky.social, Kavir and @erikjbekkers.bsky.social
Graph Homomorphism Distortion: A Metric to Distinguish Them All and in the Latent Space Bind Them
A large driver of the complexity of graph learning is the interplay between structure and features. When analyzing the expressivity of graph neural networks, however, existing approaches ignore featur...
arxiv.org
March 4, 2026 at 1:17 PM
Interested in the analysis of GNN expressive power, limitations of the WL test or more in general in the definition of complete metrics on graphs? 👀
Check out this super cool work led by
@martin.topology.rocks !🔥
Check out this super cool work led by
@martin.topology.rocks !🔥
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! 🌐 🤩