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🌊Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling by Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth 🪪neurips.cc/virtual/2024/p… 📜arxiv.org/abs/2404.12940 🧵2 / 11

⚙️Variational Flow Matching for Graph Generation by Floor Eijkelboom*, Grigory Bartosh*, Christian A. Naesseth, Max Welling, Jan-Willem van de Meent 🪪neurips.cc/virtual/2024/p… 📜arxiv.org/abs/2406.04843 🧵3 / 11

🦠Equivariant Neural Diffusion for Molecule Generation by François Cornet, Grigory Bartosh, Mikkel Schmidt, Christian A. Naesseth 🪪neurips.cc/virtual/2024/p… 🧵4 / 11

🐑 Come and check out Variational Flow Matching for Graph Generation next week at NeurIPS Conference ! 🐑 Wed 11 Dec 11 a.m. PST — 2 p.m. PST West Ballroom A-D #7103 arxiv.org/abs/2406.04843

Equivariant Neural Diffusion for Molecule Generation François Cornet · Grigory Bartosh · Mikkel Schmidt · Christian Andersson Naesseth Thu 12 Dec 11 a.m. PST — 2 p.m. PST East Exhibit Hall A-C #2403

Wohooo Grigory Bartosh, Dmitry and my work wins best workshop paper at #AABI 🥳

🥇 3 Best Paper Awards for AMLab members! 1. Towards Variational Flow Matching on General Geometries by Olga Zaghen Floor Eijkelboom 2. Generative Uncertainty in Diffusion Models by Metod Jazbec 3. SDE Matching by Grigory Bartosh Congrats to everyone! 🔥

👨‍💼 SDE Matching @ICML today! ⌚️ 11 a.m. PDT — 1:30 p.m. PDT 📍 East Exhibition Hall A-B #E-2412

Check out Myosotis from Evgenii Egorov