Stefano Ermon @StefanoErmon
Associate Professor of #computerscience @Stanford #AI #ML #Sustainability cs.stanford.edu/~ermon/ Stanford, CA Joined February 2013-
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Earlier this week Atlas AI was honored with one of @googlecloud 's most significant recognitions -- 2024 Partner of the Year in the category of Industry Sustainability Solutions. Watch our CEO @AbeTarapani's acceptance speech below. #GoogleCloudPartnerAwards @gcloudpartners
A paper blatantly plagiarized our CTM paper (see some of their verbatim copy&paste below). Feeling bad for my junior collaborators @gimdong58085414 and @JCJesseLai who worked so hard on this.
A paper blatantly plagiarized our CTM paper (see some of their verbatim copy&paste below). Feeling bad for my junior collaborators @gimdong58085414 and @JCJesseLai who worked so hard on this.
We sadly found out our CTM paper (ICLR24) was plagiarized by TCD! It's unbelievable😢—they not only stole our idea of trajectory consistency but also comitted "verbatim plagiarism," literally copying our proofs word for word! Please help me spread this.
Very excited about this work: diffusion models finally bridging the gap with autoregressive models on language!
Very excited about this work: diffusion models finally bridging the gap with autoregressive models on language!
Announcing Score Entropy Discrete Diffusion (SEDD) w/ @chenlin_meng @StefanoErmon. SEDD challenges the autoregressive language paradigm, beating GPT-2 on perplexity and quality! Arxiv: arxiv.org/abs/2310.16834 Code: github.com/louaaron/Score… Blog: aaronlou.com/blog/discrete-… 🧵1/n
We’ve seen Sora, StableDiffusion, GPT-4 transform generative AI for language and computer vision… but can we improve generative models for remote sensing? We present DiffusionSat, a powerful generative foundation model for satellite imagery! arxiv.org/abs/2312.03606 1/8
We analyzed what LLMs know about the world, uncovering more problematic biases
We analyzed what LLMs know about the world, uncovering more problematic biases
Check out our Stable Diffusion checkpoints fine-tuned with DPO (Direct Preference Optimization, outstanding paper runner up at Neurips). Paper: arxiv.org/abs/2311.12908
Check out our Stable Diffusion checkpoints fine-tuned with DPO (Direct Preference Optimization, outstanding paper runner up at Neurips). Paper: arxiv.org/abs/2311.12908
Excited to share that the checkpoints are online at 🤗 HuggingFace. Feel free to check it out! SDXL-DPO: huggingface.co/mhdang/dpo-sdx… SD1.5-DPO: huggingface.co/mhdang/dpo-sd1…
Excited to share that the checkpoints are online at 🤗 HuggingFace. Feel free to check it out! SDXL-DPO: huggingface.co/mhdang/dpo-sdx… SD1.5-DPO: huggingface.co/mhdang/dpo-sd1… https://t.co/6cQnsrHPAy
🧠Tired of text-only image generation control? Don’t have resources to train for your own tasks? Annoying long sampling time? 📣 Introducing Manifold Preserving Guided Diffusion (MPGD) to solve all these problems! Learn more: kellyyutonghe.github.io/mpgd/ and in 🧵👇 #GenerativeAI
We figured out how to use parallel-in-time solvers (Picard) to accelerate arbitrary computation graphs. You trade parallel compute (use more GPUs) to reduce wallclock time, adding concurrency to otherwise sequential computations. Big speedups on text-to-3D generative models!
We figured out how to use parallel-in-time solvers (Picard) to accelerate arbitrary computation graphs. You trade parallel compute (use more GPUs) to reduce wallclock time, adding concurrency to otherwise sequential computations. Big speedups on text-to-3D generative models!
Really excited about this work! We figured out how to apply DPO (Direct Preference Optimization) to diffusion models and got big improvements in image quality
Really excited about this work! We figured out how to apply DPO (Direct Preference Optimization) to diffusion models and got big improvements in image quality
Congratulations on the launch @pika_labs! Amazing work!
Congratulations on the launch @pika_labs! Amazing work!
Excited about recent improvements of our NeurIPS Spotlight paper, now even faster with ⚡️⚡️multiprocessing⚡️⚡️! We now get 2x speedup on as low as 50-step DDIM, and 4x speedup on 200-step DDIM! The first version of our paper showed good results, but we wanted even better. -…
Excited about recent improvements of our NeurIPS Spotlight paper, now even faster with ⚡️⚡️multiprocessing⚡️⚡️! We now get 2x speedup on as low as 50-step DDIM, and 4x speedup on 200-step DDIM! The first version of our paper showed good results, but we wanted even better. -…
Can you give ChatGPT a location and ask it to predict average income, population density, or home value? 😮 …We present GeoLLM, a powerful method for extracting geospatial knowledge from LLMs! Even rivals satellite imagery for prediction tasks 🔥 arxiv.org/abs/2310.06213 1/6
Great work led by my student @linqi_zhou !
Great work led by my student @linqi_zhou !
📢 Diffusion models (DM) generate samples from noise distribution, but for tasks such as image-to-image translation, one side is no longer noise. We present Denoising Diffusion Bridge Models, a simple and scalable extension to DMs suitable for distribution translation problems.
🔥SOTAs for ONE-step generation, surpassing all GANs, diffusions! Consistency Trajectory Model, co-fisrt author work with Sony's intern, @gimdong58085414 achieves new SOTA FID 1.98 on ImageNet 64 with 1-step! Project page: consistencytrajectorymodel.github.io/CTM/ (w/ @StefanoErmon @mittu1204)
Our work, DOODL, on improved classifier guidance for diffusion models with off-the-shelf classifiers was accepted at #ICCV2023! Enables cool applications like out-of-vocabulary image generation and improved aesthetics. Code: github.com/salesforce/DOO… Paper: arxiv.org/pdf/2303.13703…
Recent GANs are as good as diffusions in quality and run very fast (1 NFE). Our new GAN-based approach StyleSAN-XL scores SOTA in image generation! #GenerativeAI #imagegeneration The code and pretrained are available, so check its quality!
Recent GANs are as good as diffusions in quality and run very fast (1 NFE). Our new GAN-based approach StyleSAN-XL scores SOTA in image generation! #GenerativeAI #imagegeneration The code and pretrained are available, so check its quality!
Dan Roy @roydanroy
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0 Followers 31 Following Hi! This is 🐻Kuma_Scofield🐻! I am looking for 24 fall PhD and please feel free to email me if any of my research is aligned with your work
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Dan Roy @roydanroy
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NeurIPS Conference @NeurIPSConf
111K 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].
Kevin Patrick Murphy @sirbayes
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Michael Bronstein @mmbronstein
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Sander Dieleman @sedielem
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Chieh-Hsin (Jesse) La.. @JCJesseLai
296 Followers 429 Following My own words; 🇯🇵Researcher @ Sony AI; 🇹🇼Visiting Asst. Prof. @ Applied Math, NYCU; 🇺🇸PhD @ Math, U. of Minnesota; 🌐https://t.co/hHlwozfDZn
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✨ Jean Yang ✨ @jeanqasaur
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AI Conference DL Coun.. @DlCountdown
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1K Followers 213 Following AI4Science research @MSFTResearch Amsterdam. PhD @Mila_Quebec on generative models.
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35K Followers 1K Following Director @ #DeepMind Building models to accelerate fundamental sciences Prev @EPFL IFT @Polytechnique @fisicaUSP
Mehran Sahami @mehran_sahami
2K Followers 279 Following Educator and computer scientist, working on trying to do the right thing with technology. Day job: Computer Science Professor at Stanford. Opinions are my own.🌏We are thrilled to announce our collaboration with @GiveDirectly to tackle the effects of climate change head-on! This #EarthDay, we're unveiling our groundbreaking partnership aimed at enhancing economic resilience for climate-vulnerable communities. atlasai.co/blog/strengthe…
Earlier this week Atlas AI was honored with one of @googlecloud 's most significant recognitions -- 2024 Partner of the Year in the category of Industry Sustainability Solutions. Watch our CEO @AbeTarapani's acceptance speech below. #GoogleCloudPartnerAwards @gcloudpartners
📢New research on mechanistic architecture design and scaling laws. - We perform the largest scaling laws analysis (500+ models, up to 7B) of beyond Transformer architectures to date - For the first time, we show that architecture performance on a set of isolated token…
We sadly found out our CTM paper (ICLR24) was plagiarized by TCD! It's unbelievable😢—they not only stole our idea of trajectory consistency but also comitted "verbatim plagiarism," literally copying our proofs word for word! Please help me spread this.
@sirbayes One reason might be because we haven't discovered an elegant generative model for discrete data like text yet. We are just stuck at a local optimum with autoregressive models, similar to how we were stuck with GANs for so long. Discrete diffusions might be the way out.
Announcing Score Entropy Discrete Diffusion (SEDD) w/ @chenlin_meng @StefanoErmon. SEDD challenges the autoregressive language paradigm, beating GPT-2 on perplexity and quality! Arxiv: arxiv.org/abs/2310.16834 Code: github.com/louaaron/Score… Blog: aaronlou.com/blog/discrete-… 🧵1/n
We’ve seen Sora, StableDiffusion, GPT-4 transform generative AI for language and computer vision… but can we improve generative models for remote sensing? We present DiffusionSat, a powerful generative foundation model for satellite imagery! arxiv.org/abs/2312.03606 1/8
How much do LLMs like ChatGPT and Gemini know about where you live? How biased are they? Do they think Europeans are more intelligent than Africans? What about attractiveness or morality? Here is the answer. 🚨 LLMs are Geographically Biased 🚨 arxiv.org/abs/2402.02680 1/6
Congratulations to @StanfordAILab Director @chrmanning, awarded the 2024 IEEE John von Neumann Medal, one of @IEEEAwards’s top awards “for outstanding achievements in computer-related science and technology”, for his advances in #NLProc. corporate-awards.ieee.org/recipient/chri…
Congratulations to @StanfordHAI associate director @chrmanning for winning this year's @IEEEorg's John von Neumann Medal for his outstanding achievements in advancing computational representation and analysis of natural language. Learn more here: bit.ly/47xiLQY
It is only rarely that, after reading a research paper, I feel like giving the authors a standing ovation. But I felt that way after finishing Direct Preference Optimization (DPO) by @rm_rafailov @archit_sharma97 @ericmitchellai @StefanoErmon @chrmanning and @chelseabfinn. This…
New year, new blog posts! Today, I start with the first post from a series on score-based generative models. Are you curious about score matching and how to implement it? Check this out! Post: tinyurl.com/4jzmbehy Code: tinyurl.com/yw954a9b
Peering into the Future with Geospatial Foundation Models The @atlasai_co leadership team is continuing our blog series sharing perspectives on key areas of research and development that are informing our roadmap planning for 2024. atlasai.co/blog/foundatio…
In this installment Professor @StefanoErmon writes about the opportunity for #FoundationModels trained on #geospatial information to unlock capabilities such as #forecasting planetary change.
What was @SlackHQ thinking? This UI upgrade is one of the worst changes I've ever seen in a product I use everyday. Made something that was almost indispensable now unusable. Did you actually test these changes carefully? With people who really use slack? Across many workspaces?
Checkpoints for Diffusion-DPO trained SDXL and SD-1.5 are now available from @meihuadang and @StefanoErmon at the @StanfordAILab! SDXL-DPO obtains 70% win rate over SDXL and is smaller! (1/2) SDXL-DPO: huggingface.co/mhdang/dpo-sdx… SD1.5-DPO: huggingface.co/mhdang/dpo-sd1…
Excited to share that the checkpoints are online at 🤗 HuggingFace. Feel free to check it out! SDXL-DPO: huggingface.co/mhdang/dpo-sdx… SD1.5-DPO: huggingface.co/mhdang/dpo-sd1…
Excited to announce DPO has gone multi-modal! New paper out on RLHF for text-to-image diffusion models! We obtain large-scale state of the art results with 70% win rates against Stable Diffusion XL on human evals! Deep dive below 🧵
We are thrilled to announce that James Zou has been promoted to DBDS Associate Professor with tenure. A hearty congratulations and thanks to his endless hard work, revolutionary research and constant contributions to our department.
🧠Tired of text-only image generation control? Don’t have resources to train for your own tasks? Annoying long sampling time? 📣 Introducing Manifold Preserving Guided Diffusion (MPGD) to solve all these problems! Learn more: kellyyutonghe.github.io/mpgd/ and in 🧵👇 #GenerativeAI
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