Mona Schirmer @monaschir - Bluesky Profile

Latest posts by monaschir.bsky.social on Bluesky

Happening soon!

Work with @metodjazbec.bsky.social @canaesseth.bsky.social ‪@enalisnick.bsky.social‬

18.07.2025 07:43 — 👍 2 🔁 0 💬 0 📌 0

🧑‍🏫Neural Flow Diffusion Models at #NeurIPS2024 tomorrow! Discover how to build learnable noising processes for straight-line generative trajectories end-to-end and without simulations!🤯

📍West Ballroom A-D #6809
⏰Fri 13 Dec 4:30 pm — 7:30 pm

🔗https://neurips.cc/virtual/2024/poster/94656

13.12.2024 02:57 — 👍 33 🔁 5 💬 0 📌 1

@monaschir is following 20 prominent accounts

@frisodekruiff

Annalena Baerbock
@albaerbock

Bluesky Account von Außenministerin a. D. Annalena Baerbock

Luc Rocher
@rocher.lc

associate professor at Oxford · UKRI future leaders fellow · i study how data and algorithms shape societies · AI fairness, accountability and transparency · algorithm auditing · photographer, keen 🚴🏻 · they/them · https://rocher.lc (views my own)

Natasha Butt
@natashabutt

PhD student at the University of Amsterdam Advised by Max Welling and Jan-Willem van de Meent

Leon Lang
@leon-lang

PhD Candidate at the University of Amsterdam. AI Alignment and safety research. Formerly multivariate information theory and equivariant deep learning. Masters degrees in both maths and AI. https://langleon.github.io/

Rajeev Verma
@rajevv

hoping this is the old gold twitter | PhD student at @amlab.bsky.social working on the foundations of machine learning | rajevv.github.io

Mátyás Schubert
@matyasch

PhD in causal machine learning @amlab.bsky.social‬

Cong Liu
@congliu

PhD student @ AMLab interested in Geometric Deep Learning, AI4Science, generative models on Molecules / Protein

David R. Wessels
@dafidofff

PhD candidate w/ @erikjbekkers & @egavves interested in Geometric Deep Learning and Generative Modelling at @AMLab & @ellogonai github.com/Dafidofff

@mariuscaptari

PhD candidate at AMLab

Olga Zaghen
@olgatticus

MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨ bit.ly/olga-zaghen

Jacobus Dijkman
@jdijkman

Infusing statistical physics with machine learning to describe molecular fluids. PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.

Alejandro García
@algarciacast

PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io

Sharvaree Vadgama
@sharvaree

PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF

Grigory Bartosh
@gbarto

PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning. grigorybartosh.github.io

Max Zhdanov
@maxxxzdn

PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent. Research in physics-inspired and geometric deep learning.

@wellingmax

@zmheiko

Floor Eijkelboom
@eijkelboomfloor

PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling

@mvmacfarlane

PhD Candidate @AmlabUvA working on Reinforcement Learning , Search and Adaptive Computation | visiting researcher at the University of Alberta @rlai_lab