Sharvaree Vadgama
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sharvaree.bsky.social
Sharvaree Vadgama
@sharvaree.bsky.social
PhD student at @amlab.bsky.social

Geometric deep learning + Generative modeling.
🇳🇱🇺🇸🇮🇳

Organizer @gram-org.bsky.social and @scifordl.bsky.social workshop

📍 Amsterdam/SF
Reposted by Sharvaree Vadgama
📢 The submission deadline for ✨GRaM workshop✨ at @iclr-conf.bsky.social is 5th February 2026.

🌟Submit your exciting works in Geometry-grounded representations.

We welcome submissions in multiple tracks i.e.
📄 Proceedings
📝extended abstract
👩‍🏫Tutorial/blogpost
as well as an exciting challenge!
January 19, 2026 at 11:20 PM
Reposted by Sharvaree Vadgama
Learning representations is learning the structure of data—and structure is geometry.
📢The second edition of ✨GRaM workshop✨ is here this time at #ICLR26.

🌟Submit your exciting works in Geometry-grounded representations.

We welcome submissions in multiple tracks i.e.
📄 Proceedings
📝extended abstract
👩‍🏫Tutorial/blogpost
as well as an exciting challenge!
December 18, 2025 at 9:24 AM
Reposted by Sharvaree Vadgama
For more details check out our website:
http://
gram-workshop.org or follow @gram-org.bsky.social
GRaM Workshop
Geometry-grounded Representation Learning and Generative Modeling
gram-workshop.org
December 18, 2025 at 5:43 AM
Reposted by Sharvaree Vadgama
📢The second edition of ✨GRaM workshop✨ is here this time at #ICLR26.

🌟Submit your exciting works in Geometry-grounded representations.

We welcome submissions in multiple tracks i.e.
📄 Proceedings
📝extended abstract
👩‍🏫Tutorial/blogpost
as well as an exciting challenge!
December 18, 2025 at 5:31 AM
Reposted by Sharvaree Vadgama
GRaM 2.0 is being organised by an ✨incredible team✨
@erikjbekkers.bsky.social @alisometry.bsky.social
@sharvaree.bsky.social @oumarkaba.bsky.social
@jmtomczak.bsky.social @sukjulian.bsky.social
Hannah Lawrence, Robin Walters, Manuel Lecha, Elizabeth Baker and Stefanie Jegelka.
GRaM Workshop
Geometry-grounded Representation Learning and Generative Modeling
gram-workshop.org
December 18, 2025 at 5:43 AM
😍Couldn’t be more excited to be doing this with such an incredible team. 🤗
December 18, 2025 at 5:44 AM
Reposted by Sharvaree Vadgama
#NeurIPS2026 will be held in Sydney, Australia!

#ICML2017 was also in Sydney and was an absolute blast
December 6, 2025 at 3:41 AM
Reposted by Sharvaree Vadgama
We are thrilled to announce our first invited talk this morning, featuring Prof. Rose Yu (@yuqirose.bsky.social) from UC San Diego, presenting “Fantastic Symmetries and Where to Find Them” at the UniReps workshop! 🎤✨
December 6, 2025 at 4:34 PM
Super excited to bring GRaM 2.0 to ICLR 2026 in Brazil!
Call for papers coming soon!

@gram-org.bsky.social @iclr-conf.bsky.social
🌐 Excited to bring GRaM Workshop to ICLR2026. 🇧🇷

🔷 Stay tuned for updates and call for papers!
December 6, 2025 at 5:29 PM
Reposted by Sharvaree Vadgama
🌐 Excited to bring GRaM Workshop to ICLR2026. 🇧🇷

🔷 Stay tuned for updates and call for papers!
December 6, 2025 at 5:27 PM
Reposted by Sharvaree Vadgama
We have a postdoc opening on the development of AI methods for accelerating computational fluid mechanics:

werkenbij.uva.nl/en/vacancies/postdoctoral-researcher-in-ai-for-fluid-mechanics-netherlands-14589

Deadline for applications soon –– 28 Nov –– e-mail me if you are planning to apply!
Vacancy — Postdoctoral Researcher in AI for Fluid Mechanics
Are you interested in developing AI methods that can make physics simulations orders of magnitude faster? If the answer is yes, please continue reading!
werkenbij.uva.nl
November 7, 2025 at 2:26 PM
Reposted by Sharvaree Vadgama
WiML turns 20! 🎉

For two decades, WiML has connected, inspired, and supported women around the world who are advancing the field of ML. As we celebrate this incredible milestone, we want to hear your story. 💜

➡️ Share your reflections: shorturl.at/lxWM2

#WiML #WiML20Years #WiML20th
shorturl.at
October 30, 2025 at 1:52 PM
🚀 Excited to present our recent work: A scalable equivariant model.

Platonic Transformers 🔹
Check out the thread below for more.👇
There's an increasingly popular argument saying that for 3D point clouds with rotational ambiguity (e.g. molecular data) standard transformers are preferable over equivariant models for compute reasons. With “Platonic Transformers” we show why this doesn't have to be true. arxiv.org/abs/2510.03511
Platonic Transformers: A Solid Choice For Equivariance
While widespread, Transformers lack inductive biases for geometric symmetries common in science and computer vision. Existing equivariant methods often sacrifice the efficiency and flexibility that ma...
arxiv.org
October 24, 2025 at 3:57 PM
Reposted by Sharvaree Vadgama
More details in @erikjbekkers.bsky.social’s thread x.com/erikjbekkers... (nitter.net/erikjbekkers...). This has been a great first project for me to jump into for my postdoc in Amsterdam and I’m excited for the next steps. Great to work with this group of talented people!
October 23, 2025 at 2:35 PM
Reposted by Sharvaree Vadgama
📐 On the Importance of Embedding Norms in Self-Supervised Learning

By Andrew Draganov, @sharvaree.bsky.social , Sebastian Damrich, Jan Niklas Böhm, Lucas Maes, Dmitry Kobak, @erikjbekkers.bsky.social

📜 arxiv.org/abs/2502.09252

🧵4 / 8
May 6, 2025 at 2:53 PM
Reposted by Sharvaree Vadgama
Make sure to get your tickets to AABI if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic modeling, inference, and decision-making!

Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org

#Bayes #MachineLearning #ICLR2025 #AABI2025
April 13, 2025 at 7:43 AM
Reposted by Sharvaree Vadgama
Now, the fantastic @jmtomczak.bsky.social is telling us about probabilistic circuits at GeMSS/Statlearn 2025 @gemssai.bsky.social
March 31, 2025 at 9:42 AM
Reposted by Sharvaree Vadgama
We have just opened a fully-funded PhD position at Cambridge, supervised by me & Vasily Belokurov.

Topic: AI + astronomical imaging (broadly defined).
Deadline: April 16.

Please share with anyone who may be interested!

www.postgraduate.study.cam.ac.uk/courses/dire...
April 2, 2025 at 11:42 AM
Reposted by Sharvaree Vadgama
It’s a green light for the Frugal AI Challenge! 🚀
For the next month, we invite all members of the AI community to participate in one of our 3 AI for Climate tasks, with the goal of developing a highly accurate model while consuming as little energy as possible ⚡
January 6, 2025 at 5:36 PM
Reposted by Sharvaree Vadgama
ICML 2025 Call for Workshops is out.
icml.cc/Conferences/...
ICML 2025 Call for Workshops
icml.cc
January 4, 2025 at 3:38 AM
Reposted by Sharvaree Vadgama
Exciting news! 🚀 The Learning Meaningful Representations of Life ( #LMRL 🌟) workshop is returning at #ICLR2025! 🎉

On 27th / 28th April 2025 in Singapore 🇸🇬, this popular event returns with a fresh organizing team 👇 & bold new ideas 🧠 to explore bridging AI & life sciences 🧬
December 19, 2024 at 5:02 PM
I see a few familiar names. ☺️☺️
Congrats Anna and Jakub!
Hierarchical VAE with a Diffusion-based VampPrior

Anna Kuzina, Jakub M. Tomczak

Action editor: Arto Klami

https://openreview.net/forum?id=NUkEoZ7Toa

#autoencoders #vampprior #generative
December 19, 2024 at 6:56 PM
Reposted by Sharvaree Vadgama
🔊 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr-conf.bsky.social!

🔗 website: sites.google.com/view/fpiwork...

🔥 Call for papers: sites.google.com/view/fpiwork...

more details in thread below👇 🧵
December 18, 2024 at 7:09 PM
This is very important and I am so glad about the efforts taken in Tübingen by Claire. Kudos! 👏
December 18, 2024 at 11:02 PM
Reposted by Sharvaree Vadgama
Shar, you are simply amazing! And working you with is a highlight!
@neuripsconf.bsky.social Program Chair spotted 😁😁

@jmtomczak.bsky.social Jakub, seeing you work towards making NeurIPS happen, has been awe inspiring. What a mammoth effort!

A proud advisee moment 🥹
December 15, 2024 at 6:32 AM