EEML'25, our yearly machine learning summer school event, will be organised next summer in the beautiful city of Sarajevo - the place where East meets West 🇧🇦🇧🇦🇧🇦.
More details coming soon, please see the link in the thread!
15.12.2024 18:22 — 👍 18 🔁 6 💬 1 📌 1
Catch my poster tomorrow at the NeurIPS MLSB Workshop! We present a simple (yet effective 😁) multimodal Transformer for molecules, supporting multiple 3D conformations & showing promise for transfer learning.
Interested in molecular representation learning? Let’s chat 👋!
15.12.2024 00:31 — 👍 10 🔁 2 💬 0 📌 0
* in the afternoon session 😅
11.12.2024 22:27 — 👍 0 🔁 0 💬 0 📌 0
Happening today, East Exhibit Hall A-C, poster #3110. Come say "Hi!"! 👋
11.12.2024 18:21 — 👍 1 🔁 0 💬 1 📌 0
6/6 Interested in learning more? Check out our preprint here: arxiv.org/pdf/2405.17311.
If you’d like to discuss, I’d be very happy to chat during the poster session in Vancouver! :)
07.12.2024 17:52 — 👍 1 🔁 0 💬 2 📌 0
5/6 How it works: Probabilistic sampling connects original nodes to virtual ones, enhancing connectivity without explicit pairwise computations. The result is a framework that achieves both higher WL expressiveness and efficiency in graph-based learning.
07.12.2024 17:52 — 👍 0 🔁 0 💬 1 📌 0
3/6 Enter IPR-MPNNs: Our approach learns to rewire graphs probabilistically by adding virtual nodes. This eliminates the need for heuristics, making the method more flexible and task-adaptive, while maintaining computational efficiency. 🎯
07.12.2024 17:51 — 👍 1 🔁 0 💬 1 📌 0
2/6 Standard MPNNs struggle with long-range interactions, making them less effective for large, complex graphs. Transformers help but come with quadratic complexity, which is computationally expensive. Rewiring heuristics? Often brittle and task-specific.
07.12.2024 17:50 — 👍 0 🔁 0 💬 1 📌 0
1/6 We're excited to share our #NeurIPS2024 paper: Probabilistic Graph Rewiring via Virtual Nodes! It addresses key challenges in GNNs, such as over-squashing and under-reaching, while reducing reliance on heuristic rewiring. w/ Chendi Qian, @christophermorris.bsky.social @mniepert.bsky.social 🧵
07.12.2024 17:50 — 👍 30 🔁 7 💬 1 📌 0
Genuine question - why do captions go above tables? I've always assumed that this is due to wanting to make tables distinct from figures, but it seems like a convention.
29.11.2024 01:20 — 👍 2 🔁 0 💬 1 📌 1
👀👋
18.11.2024 15:35 — 👍 1 🔁 0 💬 1 📌 0
Interested in OOD Generalization problems of AI, in our awesome Theoretical Research team at Bitdefender http://bit-ml.github.io
Intelligente Systeme für eine zukunftsfähige Gesellschaft.
Aktuelles aus der #UniStuttgart
https://www.uni-stuttgart.de/impressum/
Strengthening the Eastern European ML community and improving diversity in the field.
facebook.com/EEMLcommunity
Postdoc @ USC
AI for science and health | computer vision | diffusion models
https://z-fabian.github.io
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Postdoc @ University of California, Irvine | PhD from CS@UCLA
Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models
kareemahmed.com
Senior Researcher in machine learning (ML) at TU Berlin and BIFOLD; Alumnus of Humboldt University of Berlin and University of Potsdam, Germany.
@RWTH. Previously, @Mila_Quebec, @mcgillu, @polymtl, and @TU_Dortmund. Working on learning with graphs and ML for combinatorial optimization.
PhD student @Mila-Quebec, visiting researcher at FAIR - studying robustness to distribution shifts, reasoning, and causal ML. Previously: @MPI_IS, ML Researcher at @Bitdefender. http://andreinicolicioiu.github.io
Machine Learning Researcher Apple
PhD MPI-IS, University of Tübingen
MSc Edinburgh University
Ex. Google DeepMind, Google Research, Helmholtz Munich, TU Munich
Multimodal learning, efficient learning, and video understanding.
merceaotniel.github.io
ELLIS PhD student in Machine Learning at PML group - Aalto University, Finland.
Collaborative AI, Computational Rationality, Theory of Mind, and more.
💻 PhD Student at @dh-fbk.bsky.social @mobs-fbk.bsky.social @land-fbk.bsky.social
🇮🇹 FBK, University of Trento
🇪🇺 @ellis.eu
☕ NLP, CSS and coffee
https://nicolopenzo.github.io/
PhD student @ University of Stuttgart
Research Scientist @ NEC Labs Europe, Ph.D. in Theoretical Chemistry @ SimTech & @unistuttgart.bsky.social, ML/DL for Chemistry & Materials Science
ELLIS PhD student in Machine Learning @Aalto University, Finland
Working on Bayesian experimental design, causality, human-in-the-loop models
Maldivian
nazaal.com
🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
