Arash Vahdat (hiring) @ArashVahdat
Principal scientist and research manager @nvidia research, leading forward-looking fundamental generative AI research efforts, views are my own. arashvahdat.com San Francisco Bay Area Joined January 2010-
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This week I successfully passed my Ph.D. proposal 🎉 The title of the talk: "Generative Models from Lossy Measurements". Here is a little 🧵 about it
📢📢 Align Your Steps: Optimizing Sampling Schedules in Diffusion Models research.nvidia.com/labs/toronto-a… TL;DR: We introduce a method for obtaining improved sampling schedules for diffusion models, resulting in better samples at the same computation cost. (1/5)
Discrete steps of the probability density path generated by the DDPM forward diffusion process (ver. 1.0 complete draft). Useful mental picture for both diffusion and flow matching (with its continuous probability density path). Shoutout to @ArashVahdat and company for their…
Just dropped a 4 hour lecture on "Large Language Models": youtu.be/2yjzZfDQxy8 0:00 Basics of language models 2:30 Word2vec 16:27 Transfer Learning 19:23 BERT 1:00:39 T5 1:31:14 GPT1-3 1:53:05 ChatGPT 2:20:03 LLMs as Deep RL 2:53:00 Policy Gradient 3:32:50 Train your…
"A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems" arxiv.org/abs/2312.07511 Tomorrow in the reading group with @chaitjo @SimMat20 and @ADuvalinho 🤗 Join us at 11am EDT / 5pm CEST on zoom: portal.valencelabs.com/logg
GPUs ✅ Will publish ✅ Great mission ✅ Come join our team @czi , we will have positions across the stack for researchers and engineers working on (multimodal) GenAI (x Science/bio) That includes interns (off season is fine). Btw I think academia will be fine.
GPUs ✅ Will publish ✅ Great mission ✅ Come join our team @czi , we will have positions across the stack for researchers and engineers working on (multimodal) GenAI (x Science/bio) That includes interns (off season is fine). Btw I think academia will be fine.
Ideogram on the @Nasdaq billboard! 🔥
The moment before Jensen announced our CorrDiff at #GTC24
📢Update announced in today’s #GTC2024 Keynote📢 We are working on Project GR00T, a general-purpose foundation model for humanoid robots. GR00T will enable the robots to follow natural language instructions and learn new skills from human videos and demonstrations. Generalist…
NVIDIA is advancing #DrugDiscovery and #DigitalHealth by launching more than two dozen new microservices that allow #healthcare enterprises worldwide to take advantage of the latest advances in #generativeAI from anywhere and on any cloud.... bit.ly/3TFbA5N
Shout out and deep appreciation for San Jose Mayor @MattMahanSJ who came to meet with 500 startups at #GTC2024. His vision is to make SJ a hotbed for AI startups and I'm proud to be working with him to bring AI education and job opportunities to San Jose and Silicon Valley.
CorrDiff is the outcome of amazing multidisciplinary teamwork across various teams at #NVIDIA
Demo: youtube.com/watch?v=9vEaIm… Code: github.com/NVIDIA/modulus… Paper: arxiv.org/abs/2309.15214
Proud to see Jensen's GTC keynote highlights our work on Corrector Diffusion Models (CorrDiff), a cutting-edge generative AI technology, to create a km-scale resolution Digital Twin of the earth. #GenAI, #DiffusionModels, #AI4science, #NVIDIA
Jensen's energy and passion are contagious! I don't know how he can always lift everyone around him up.
Today, Jensen announced our work on CorrDiff in the #GTC24 keynote. CorrDiff is a new generative model that superresolves weather events from 25km to 2km resolution, with 1,000x the speed and 3,000x the energy efficiency of conventional models. youtube.com/watch?v=9vEaIm…
The memory in Transformers grows linearly with the sequence length at inference time. In SSMs it is constant, but often at the expense of performance. We introduce Dynamic Memory Compression (DMC) where we retrofit LLMs to compress their KV cache while preserving performance…
AK @_akhaliq
310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80GxPeyman Milanfar @docmilanfar
67K Followers 264 Following Distinguished Scientist at Google Research. Computational Imaging, Machine Learning, and Vision. Tweets = personal opinions. May change or disappear over time.Lucas Beyer (bl16) @giffmana
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50K Followers 2K Following Research Scientist at Google DeepMind. I tweet about deep learning (research + software), music, generative models (personal account).Behnam Neyshabur @bneyshabur
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0 Followers 8 Following Research Interest: Generative Models PhD student, UCLA B.S. Fudan UniversitySIMD Crawford 🟣 @omershapira
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33 Followers 920 Following The English language can not fully capture the depth and complexity of my thoughts. So I'm incorporating Emoji into my speech to better express myself 😉.Fulvio Sanguigni @FulvioSanguigni
5 Followers 44 Following Phd Student at Unimore, AImageLab. Working on Generative Vision and Language Models Previously at @esa, @sapienzaromaPhelipe Siani @Phelipe_Siani
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6 Followers 35 FollowingCraig Parker @logicSA06182
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242 Followers 1K Followingmark Joel @Markjoel__
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13 Followers 107 Following Graduate Research Assistant @crios_utaustin @OdenInstitute Love hiking, cricket, reading, and chess.Robonomous @realpolity101
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803 Followers 5K Following 2024 ServiceNow Partner of the Year 🏅 Leading @ServiceNow Elite Partner 4.94/5 Customer Satisfaction (CSAT) #DEVSHOP 🧑💻 #servicenow #servicenowpartnerسبک بار ساح�.. @aria_mousavifar
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6 Followers 145 FollowingAiexpert @Aiexpert177807
18 Followers 109 FollowingAdeyemiSolomon Adegbo.. @AdeyemisolomonA
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4 Followers 90 Following Computer Engineering @ Sharif University Of TechnologyThuan Hoang Nguyen @thuanz123
130 Followers 276 Following AI Bot specializes in vision generative modelsVinod Grover @vinodg
2K Followers 1K Following Sr Distinguished Engineer @nvidia. Compilers, CUDA C++, PL, Machine Learning and Systems. tweets and opinions are personal.Mehrdad Moghimi @MehrdadM96
8 Followers 147 Following PhD Student at @YorkUniversity, Interested in risk-sensitive #ReinforcementLearningSanket Biswas @sanket10rony
186 Followers 739 Following Doctoral Candidate @UABBarcelona @CVC_UAB. MS in #ComputerVision(2020) @UABBarcelona @la_UPC @UPFBarcelona. https://t.co/ZAnRtw2HcX(2018) in #ComputerScience.AK @_akhaliq
310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80GxPeyman Milanfar @docmilanfar
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48K Followers 197 Following #CS Associate Prof @YorkUniversity, #ComputerVision Scientist Samsung #AI, @VectorInst Faculty Affiliate, TPAMI AE, #CVPR2024/#ECCV2024 Publicity Co-chairMichael Black @Michael_J_Black
59K Followers 643 Following Director, Max Planck Institute for Intelligent Systems (@MPI_IS). Chief Scientist @meshcapade. Building 3D digital humans using vision, graphics, and learning.Alfredo Canziani @alfcnz
86K Followers 268 Following Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York UniversitySoumith Chintala @soumithchintala
187K Followers 883 Following Cofounded and lead @PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source.PyTorch @PyTorch
380K Followers 77 Following Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundationJia-Bin Huang @jbhuang0604
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42K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.Sander Dieleman @sedielem
50K Followers 2K Following Research Scientist at Google DeepMind. I tweet about deep learning (research + software), music, generative models (personal account).Behnam Neyshabur @bneyshabur
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112K Followers 35 Following New Orleans, Dec 10-16, 23. https://t.co/ga8aOw615g Tweets to this account are not monitored. Please send feedback to [email protected].Michael Bronstein @mmbronstein
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12K Followers 371 Following Awesome Vision Group of Andreas Geiger at the University of Tübingen. We are excited about Computer Vision, Machine Learning and Robotics.Kyunghyun Cho @kchonyc
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3K Followers 484 Following PostDoc at @Genentech and @Stanford and Incoming Assistant Professor at @EPFL in Computer Science and Life Sciences.Young scientists regularly ask me for career advice. Academia or industry? Big company or startup? US or Europe? Good scientists in AI disciplines are fortunate to have many choices. But choosing can be stressful. I always give the same advice. 1/10
This week I successfully passed my Ph.D. proposal 🎉 The title of the talk: "Generative Models from Lossy Measurements". Here is a little 🧵 about it
📢📢 Align Your Steps: Optimizing Sampling Schedules in Diffusion Models research.nvidia.com/labs/toronto-a… TL;DR: We introduce a method for obtaining improved sampling schedules for diffusion models, resulting in better samples at the same computation cost. (1/5)
Our method for molecular linker design with diffusion models (DiffLinker) got published in @NatMachIntell 🥳 nature.com/articles/s4225… Thanks a lot to our amazing coauthors @HannesStaerk Clément Vignac @rneschneuing @vgsatorras @pafrossard @wellingmax @mmbronstein @befcorreia
Discrete steps of the probability density path generated by the DDPM forward diffusion process (ver. 1.0 complete draft). Useful mental picture for both diffusion and flow matching (with its continuous probability density path). Shoutout to @ArashVahdat and company for their…
After Effects test: Discrete steps of the probability density path generated by the DDPM forward diffusion process (ver. 0.1),
Just dropped a 4 hour lecture on "Large Language Models": youtu.be/2yjzZfDQxy8 0:00 Basics of language models 2:30 Word2vec 16:27 Transfer Learning 19:23 BERT 1:00:39 T5 1:31:14 GPT1-3 1:53:05 ChatGPT 2:20:03 LLMs as Deep RL 2:53:00 Policy Gradient 3:32:50 Train your…
"A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems" arxiv.org/abs/2312.07511 Tomorrow in the reading group with @chaitjo @SimMat20 and @ADuvalinho 🤗 Join us at 11am EDT / 5pm CEST on zoom: portal.valencelabs.com/logg
GPUs ✅ Will publish ✅ Great mission ✅ Come join our team @czi , we will have positions across the stack for researchers and engineers working on (multimodal) GenAI (x Science/bio) That includes interns (off season is fine). Btw I think academia will be fine.
This is incredible! This trend, once unique to computer science, is now emerging in life sciences too. As AI continues to evolve, it prompts a big question: What does the future hold for academia? Could we see a shift, or even a disappearance, of traditional academic roles?…
Ideogram on the @Nasdaq billboard! 🔥
📢Update announced in today’s #GTC2024 Keynote📢 We are working on Project GR00T, a general-purpose foundation model for humanoid robots. GR00T will enable the robots to follow natural language instructions and learn new skills from human videos and demonstrations. Generalist…
@ArashVahdat He's definitely a force of positivity! It's like he has a built-in cheer button.
NVIDIA is advancing #DrugDiscovery and #DigitalHealth by launching more than two dozen new microservices that allow #healthcare enterprises worldwide to take advantage of the latest advances in #generativeAI from anywhere and on any cloud.... bit.ly/3TFbA5N
Shout out and deep appreciation for San Jose Mayor @MattMahanSJ who came to meet with 500 startups at #GTC2024. His vision is to make SJ a hotbed for AI startups and I'm proud to be working with him to bring AI education and job opportunities to San Jose and Silicon Valley.
CorrDiff is the outcome of amazing multidisciplinary teamwork across various teams at #NVIDIA
Demo: youtube.com/watch?v=9vEaIm… Code: github.com/NVIDIA/modulus… Paper: arxiv.org/abs/2309.15214
Proud to see Jensen's GTC keynote highlights our work on Corrector Diffusion Models (CorrDiff), a cutting-edge generative AI technology, to create a km-scale resolution Digital Twin of the earth. #GenAI, #DiffusionModels, #AI4science, #NVIDIA