Morteza Mardani (@mardanimorteza) 's Twitter Profile
Morteza Mardani

@mardanimorteza

Principal research scientist @NVIDIA | visiting researcher @Stanford | bridging theory and practice of ML, generative learning, diffusion models

ID: 1301749487912714240

linkhttps://mortezamardani.github.io/mardani/ calendar_today04-09-2020 05:10:52

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NVIDIA AI (@nvidiaai) 's Twitter Profile Photo

📣 Announcing: #NVIDIACosmos The world foundation model development platform for advancing physical #AI systems such as autonomous vehicles and robots. Learn more 👉 nvda.ws/4fGKiDX

📣 Announcing: #NVIDIACosmos

The world foundation model development platform for advancing physical #AI systems such as autonomous vehicles and robots.

Learn more 👉 nvda.ws/4fGKiDX
Ming-Yu Liu (@liu_mingyu) 's Twitter Profile Photo

github.com/NVIDIA/Cosmos Cosmos is a developer-first platform designed to help physical AI builders accelerate their development. It has pre-trained world foundation models (diffusion & autoregressive) in different sizes and video tokenizers. They are open models with permissive

Jim Fan (@drjimfan) 's Twitter Profile Photo

Introducing NVIDIA Cosmos, an open-source, open-weight Video World Model. It's trained on 20M hours of videos and weighs from 4B to 14B. Cosmos offers two flavors: diffusion (continuous tokens) and autoregressive (discrete tokens); and two generation modes: text->video and

Ming-Yu Liu (@liu_mingyu) 's Twitter Profile Photo

Generate some visual world videos using our free GPUs: build.nvidia.com Cosmos 1.0 release with open source code and open weight pretrained world models is our research group’s first step to serve the physical ai community. The first batch of released models generate

Yilun Xu (@xuyilun2) 's Twitter Profile Photo

Tired of slow diffusion models? Our new paper introduces f-distill, enabling arbitrary f-divergence for one-step diffusion distillation. JS divergence gives SOTA results on text-to-image! Choose the divergence that suits your needs. Joint work with Weili Nie Arash Vahdat 1/N

Tired of slow diffusion models? Our new paper introduces f-distill, enabling arbitrary f-divergence for one-step diffusion distillation. JS divergence gives SOTA results on text-to-image! Choose the divergence that suits your needs. 

Joint work with <a href="/wn8_nie/">Weili Nie</a> <a href="/ArashVahdat/">Arash Vahdat</a>   1/N
Karsten Kreis (@karsten_kreis) 's Twitter Profile Photo

📢📢 "Proteina: Scaling Flow-based Protein Structure Generative Models" #ICLR2025 (Oral Presentation) 🔥 Project page: research.nvidia.com/labs/genair/pr… 📜 Paper: arxiv.org/abs/2503.00710 🛠️ Code and weights: github.com/NVIDIA-Digital… 🧵Details in thread... (1/n)

Tomas Geffner (@tomasgeffner) 's Twitter Profile Photo

Presenting La-Proteina! A new model for scalable, all-atom protein design 🧬 Backbone + sequence + side-chains, indexed and unindexed atomistic motif scaffolding, scalable up to 800 residues, and more… A thread 🧵

Ximing Lu (@gximing) 's Twitter Profile Photo

🚀 How far can RL scaling take LLMs? Drop ProRLv2! 🔥We keep expanding LLM’s reasoning boundaries through 3,000+ RL steps over 5 domains and set a new state-of-the-art ✨ among 1.5B reasoning models. 🔗Full blog: research.nvidia.com/labs/lpr/prorl… 🤗Open model: huggingface.co/nvidia/Nemotro…

Morteza Mardani (@mardanimorteza) 's Twitter Profile Photo

🚀 Internship Opportunity @ NVIDIA The Fundamental Generative AI Research (GenAIR) team is hiring exceptional PhD interns for Summer 2026 to advance the frontier of generative modeling. Apply through the post below. If you’re specifically into discrete diffusion/flows,