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Arash Vahdat (hiring)@ArashVahdat
Principal scientist and research manager @nvidia research, leading forward-looking generative AI research efforts, views are my own. arashvahdat.com San Francisco Bay Area Joined January 2010-
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Arash Vahdat (hiring) @ArashVahdat
3 days agoš¢š„My team at NVIDIA Research is looking for Summer 2024 interns. Topics of interest are:
1⣠Fundamental generative learning (diffusion, etc)
2ā£Gen AI for science (climate, biology, chemistry)
3ā£Image/Video/3D (generate, edit, manipulate)
Apply via nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExā¦

Andrea Tagliasacchi @taiyasaki
3 days agoš¢š¢š¢ thrilled to announce "šš-šš²: ššš±š-ššØ-šš ššš§šš«ššš¢šØš§ šš¬š¢š§š šš²šš«š¢š šššØš«š šš¢š¬šš¢š„š„ššš¢šØš§ ššš¦š©š„š¢š§š "
sherwinbahmani.github.io/4dfy
Way to start @sherwinbahmani š
PhD co-advised with @DaveLindell at #UofT.

Chenlin Meng @chenlin_meng
4 days agoSuper excited for the launch of Pika 1.0! I am extremely grateful to be working with such an amazing and talented team on this journey! ā¤ļø I am also very thankful for the support from our incredible investors, advisors, friends, and community members. We couldn't have achieved⦠twitter.com/i/web/status/1ā¦

Katja Schwarz @K_S_Schwarz
a week agoExcited to share WildFusion!
WildFusion requires *only* unposed, single-view images for training but can generate novel instances from varying viewpoints.
Project Page: katjaschwarz.github.io/wildfusion/
@seungkim0123 @JunGao33210520 @FidlerSanja @AutoVisionGroup @karsten_kreis

Aran Komatsuzaki @arankomatsuzaki
2 weeks agoThe Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Distills a representation that enables consistent depiction of the same character in novel contexts
proj: omriavrahami.com/the-chosen-one/
abs: arxiv.org/abs/2311.10093

Arash Vahdat (hiring) @ArashVahdat
3 weeks ago@CSProfKGD There should be a warning saying "don't try this at home"!

yingzhen @liyzhen2
4 weeks ago#ICLR2024 I am looking for emergency reviewers for a submission on neural network training dynamics and analysing feature learning patterns. Ping me by Nov 7 if you can and are willing to helpššš (Yes this conference still has some theory submissions even given other hypes š

Jiaming Song @baaadas
a month agoš¢ Introducing Genie, a generative 3D foundation model that gives you 4x 3D models in 10 seconds! Try š§ on discord with: lumalabs.ai/genie #MadeWithGenie twitter.com/LumaLabsAI/staā¦

Huan Ling @HuanLing6
a month agoThe cat š± Peanut will be more famous lol twitter.com/karsten_kreis/ā¦

Ruiqi Gao @RuiqiGao
a month agoš¢ Booking your NeurIPS trip? Wondering the advancement of latent diffusion models, and how they have been applied to various domains? @karsten_kreis, @ArashVahdat and I will present the #NeurIPS2023 tutorial on "Latent Diffusion Models" on Mon, Dec 11. neurips2023-ldm-tutorial.github.io

Arash Vahdat (hiring) @ArashVahdat
a month ago@ajaydiv @RuiqiGao @karsten_kreis Thanks! Hopefully, we will deliver even better content at NeurIPS this year.

Tim Dockhorn @timudk
a month agoThe diffusion tutorial dream team is back. Don't miss it. twitter.com/karsten_kreis/ā¦

Karsten Kreis @karsten_kreis
a month agoš¢ Planning your NeurIPS'23 trip? Interested in *Latent* Diffusion Models? @RuiqiGao, @ArashVahdat and I will present the tutorial "Latent Diffusion Models: Is the Generative AI Revolution Happening in Latent Space?" Monday, Dec 11, New Orleans. neurips2023-ldm-tutorial.github.io (1/n)

Arash Vahdat (hiring) @ArashVahdat
a month agoš¢ Would you like to build latent diffusion models for new problem domains? Wondering about theoretical and practical considerations! @RuiqiGao, @karsten_kreis and I will present the #NeurIPS2023 tutorial on "Latent Diffusion Models" on Monday, Dec 11. neurips2023-ldm-tutorial.github.io

Yilun Xu @xuyilun2
a month agonon-IID sampling can promote diversity / mitigate memorization in diffusion models! twitter.com/GabriCorso/staā¦

Jim Fan @DrJimFan
a month agoHad a great TED AI Panel yesterday!
My main point:
LLMs need embodiment to unlock higher levels of intelligence. The stream of experience data through exploration & experiments will provide infinite tokens.
Our current LLMs are the "pre-training checkpoints" for an embodied⦠twitter.com/i/web/status/1ā¦

Giannis Daras @giannis_daras
2 months agoToday was my first day as a Research Scientist Intern at NVIDIA š„³ Will be working with @ArashVahdat and the team on some pretty exciting research directions around generative models in the coming months š Looking forward to it!

Arash Vahdat (hiring) @ArashVahdat
2 months ago@giannis_daras Thrilled to have you with us and to work with you!

Arash Vahdat (hiring) @ArashVahdat
2 months ago@alexjc @jm_alexia Wait! Don't you hold your mug that way?!

Zhuoran Qiao / ä¹åē¶ @ZhuoranQ
2 months agoGenerative AI + biomolecular structure is gaining traction again! It's been a year since we introduced NeuralPLexer arxiv.org/abs/2209.15171 to jointly predict and dynamically sample diverse compound(s)-protein complex structures. Glad to see works adopting relevant strategiesš§µ:

Arash Vahdat (hiring) @ArashVahdat
2 months ago@tungnd_13 Not yet. We will know about our summer headcount in a couple of months.

Arash Vahdat (hiring) @ArashVahdat
2 months ago@wandedob Thanks for letting me know. I'll ask the team to take a close look into your application.

Arash Vahdat (hiring) @ArashVahdat
2 months agoš¢š„ My team at NVIDIA research is looking for candidates with a fundamental generative learning background (ideally) in one of these domains:
- Gen AI for science (climate, chemistry, biology)
- Gen AI for 3D data
Apply via:
bit.ly/3P9yxMC
bit.ly/43ZgpZW

Arash Vahdat (hiring) @ArashVahdat
2 months ago@fastml_extra But these are not the same: landing on the moon is orders of magnitude more expensive than running AI algorithms in production.

Arash Vahdat (hiring) @ArashVahdat
2 months agoOur #CVPR2023 tutorial on diffusion models is now available publicly (with much better audio quality š¤£) Website: ā¦3-tutorial-diffusion-models.github.io With: @chenlin_meng and @baaadas @CVPR

Tsung-Yi Lin @TsungYiLinCV
2 months agoHonored to receive the PAMI Mark Everingham Prize with the COCO team at #ICCV2023. Mark Everingham's legacy with PASCAL dataset is a major inspiration for COCO. Grateful to work with brilliant minds early in my career. pc @chriswolfvision

Guan-Horng Liu @guanhorng_liu
2 months agoš#Schrƶdinger #bridge is nice. It finds nonlinear diffusion w/ least kinetic energy, has strong theory, and recent works make it scalable.
But does kinetic optimality suit all tasks?
š¢ Introducing #GSBM, a new matching algo for generalized optimality!
arxiv.org/abs/2310.02233