Grigory Bartosh @gbarto - Bluesky Profile

Grigory Bartosh

@gbarto.bsky.social

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

450 Followers | 57 Following | 1 Posts | Joined: 19.11.2024 | 1.4389

Latest posts by gbarto.bsky.social on Bluesky

🧑‍🏫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

@gbarto is following 20 prominent accounts

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

@mariuscaptari

PhD candidate at AMLab

Erik Bekkers
@erikjbekkers

AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.

Sara Magliacane
@smaglia

Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair and #UAI2026 general chair https://saramagliacane.github.io/

@zmheiko

T. Anderson Keller
@andykeller

Postdoctoral Fellow at Harvard Kempner Institute. Trying to bring natural structure to artificial neural representations. Prev: PhD at UvA. Intern @ Apple MLR, Work @ Intel Nervana

Nabil Iqbal
@nabiliqbal

theoretical physics. normally professing at durham u. currently machine learning at amlab at university of amsterdam. www.nabiliqbal.com

Rob Romijnders
@robrom

@eeevgen

Thomas Kipf
@tkipf

Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA

Alejandro García
@algarciacast

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

Sindy Löwe
@sindylowe

ML Scientist @CuspAI | Innovating for a greener future 🌱

Natasha Butt
@natashabutt

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

Floor Eijkelboom
@eijkelboomfloor

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

Jason Yim
@jyim

PhD candidate at MIT CSAIL. Generative models, protein design. Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University. Website: https://people.csail.mit.edu/jyim/ X: https://x.com/json_yim

Riccardo Valperga
@rvalperga

PhD student at UvA 🇳🇱

@mvmacfarlane

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