Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold | Lazar Atanackovic

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold | Lazar Atanackovic
Share:

Download MP3


Similar Tracks

Derivative-Free Guidance in Continuous and Discrete Diffusion Models | Xiner Li and Masatoshi Uehara Valence Labs
BindCraft: one-shot design of functional protein binders Valence Labs
How AI Cracked the Protein Folding Code and Won a Nobel Prize Quanta Magazine
Think Fast, Talk Smart: Communication Techniques Stanford Graduate School of Business
scPRINT: pre-training on 50 million cells allows robust gene network predictions | Jérémie Kalfon Valence Labs
Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote Snowflake Inc.
How One Line in the Oldest Math Text Hinted at Hidden Universes Veritasium
Discrete Flow Matching | Andrew Campbell Valence Labs
How To Speak Fluently In English About Almost Anything EnglishAnyone
Fine-tuning Flow and Diffusion Generative Models | Carles Domingo-Enrich Valence Labs
What Creates Consciousness? World Science Festival
Probabilistic Inference in Language Models via Twisted Sequential Monte | Rob Brekelmans Valence Labs
Scalable quantum dynamics compilation via quantum machine learning QAISG
Neural Entropy | Akhil Premkumar Valence Labs
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data Valence Labs
By Design: Behe, Lennox, and Meyer on the Evidence for a Creator Hoover Institution
How To Keep Talking In English, Instead Of Getting Stuck EnglishAnyone
The Science of Interstellar with Science Advisor, Kip Thorne StarTalk
Prof Yue Gao, parallel split learning for wireless networks Idiap Research Institute
Transformers (how LLMs work) explained visually | DL5 3Blue1Brown