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Bertrand Charpentier

@bertrand-sharp.bsky.social
554 followers 22 following 19 posts

Founder, President & Chief Scientist @PrunaAI | Prev. @Twitter research, Ph.D. in ML @TU_Muenchen

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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/08/2025
Alibaba models - replicate.com/wan-video/wa... - replicate.com/wan-video/wa... - replicate.com/prunaai/vace... - replicate.com/prunaai/wan-... - replicate.com/qwen/qwen-im...
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/08/2025
HiDream models: - replicate.com/prunaai/hidr... - replicate.com/prunaai/hidr... - replicate.com/prunaai/hidr... - replicate.com/prunaai/hidr...
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/08/2025
Flux models: - replicate.com/prunaai/flux... - replicate.com/prunaai/flux... - replicate.com/prunaai/flux...
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/08/2025
In the past months, we smashed all the state-of-the-art image and video models to make them x2-x10 faster! We compressed All models from Black Forest Labs, HiDream, and Alibaba on @replicate.com 👇 We even created it the super high resolution Wan Image which can make cinematic images in seconds ;)
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Bertrand Charpentier @bertrand-sharp.bsky.social · 18/07/2025
From Wan video to Wan Image: We built the fastest endpoint for generating 2K images! - Accessible on @replicate.com: replicate.com/prunaai/wan-... - Check details, examples, and benchmarks in our blog: www.pruna.ai/blog/wan-ima... - Use Pruna AI to compress more AI models: docs.pruna.ai/en/stable/
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Bertrand Charpentier @bertrand-sharp.bsky.social · 14/05/2025
Happy to announce the "Awesome AI Efficiency" repo gathering 100+ curated materials on efficient AI It is designed for a large audience and includes diverse materials. It is an ongoing project. Do not hesitate to share your feedback/suggestions and star the repo! 🌟 github.com/PrunaAI/awes...
github.com
GitHub - PrunaAI/awesome-ai-efficiency: A curated list of materials on AI efficiency
A curated list of materials on AI efficiency. Contribute to PrunaAI/awesome-ai-efficiency development by creating an account on GitHub.
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Pruna AI @prunaai.bsky.social · 04/03/2025
🚀 𝟭𝟬,𝟬𝟬𝟬 𝗠𝗼𝗱𝗲𝗹𝘀 𝗦𝗺𝗮𝘀𝗵𝗲𝗱 𝗼𝗻 @hf.co 🤗 (+2,500 in just the last two months 📈 all of you are keeping us busy!) To celebrate, we gave our HF space a little makeover… and snuck in an Easter Egg 🥚 👀 Think you can find it? Drop a comment if you do!
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Bertrand Charpentier @bertrand-sharp.bsky.social · 16/01/2025
Very clear example of how two (Bayesian) agents with wrong prior beliefs can lead to belief polarization even when seeing the same evidence! 👏
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Reposted by Bertrand Charpentier
Daniel Zuegner @danielzuegner.bsky.social · 16/01/2025
Super excited to share that the MatterGen code is now public on GitHub! github.com/microsoft/ma...
github.com
GitHub - microsoft/mattergen: Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards...
Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property c...
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Reposted by Bertrand Charpentier
Pruna AI @prunaai.bsky.social · 12/12/2024
Big news for the AI community! Pruna AI is now free(mium)! 🎉 It takes a based model as input and returns a compressed model as output with various compression methods. You can access via: - Self-hosted w/ CLI (docs.pruna.ai/en/latest/se...) - Cloud hosted w/ AWS: aws.amazon.com/marketplace/...).
docs.pruna.ai
Installing Pruna with Pip and Conda | Pruna documentation
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/12/2024
Hope you will enjoy the paper and the code 🙂 Paper: arxiv.org/pdf/2402.15978 Code: github.com/fortuinlab/s...
arxiv.org
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/12/2024
In this paper 📄 - We train sparsifiable models via the Marginal Likelihood to make pruning easy after training ✅ - We construct parameter- & unit-wise prior that fit unstructured and structured pruning ✅ - We propose the cheap Optimal Posterior Damage score outperforming other pruning scores ✅
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/12/2024
“Shaving Weights with Occam’s Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood” is at #NeurIPS2024! This would not have been possible without Rayen Dahri* who lead the project, Alex Immer, Stephan Günnemann, and @vincefort.bsky.social ! 1/3
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Reposted by Bertrand Charpentier
Vincent Fortuin @vincefort.eurosky.social · 06/12/2024
This was a super fun collaboration, led by my master's student Rayen Dhahri with Alex Immer, @bertrand-sharp.bsky.social, and Stephan Günnemann
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/12/2024
Hope you will enjoy the paper and the overview 🙂 Paper: openreview.net/pdf/b84db14f... Overview: www.cs.cit.tum.de/daml/expecte... 4/4
openreview.net
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/12/2024
It is part of a long research on structure learning :) - "Differentiable DAG Sampling", ICML 2022 - "End-to-end Learning of Probabilistic Hierarchies on Graphs", ICLR 2021 - "Tree Sampling Divergence", IJCAI 2019 - "Hierarchical graph clustering using node pair sampling" MLG, KDD 2018 3/4
scholar.google.com
‪End-to-end learning of probabilistic hierarchies on graphs‬
‪D Zügner, B Charpentier, M Ayle, S Geringer, S Günnemann‬, ‪International Conference on Learning Representations, 2021‬ - ‪3-mal zitiert‬
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/12/2024
In this paper 📄 - We optimize the expected objectives over probabilistic model on hierarchies. ✅ - We differentiably sample any hierarchy (not only binary ones!). ✅ - We show theoretical consistency and achieve SOTA results for hierarchical learning. ✅ 2/4
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Bertrand Charpentier @bertrand-sharp.bsky.social · 06/12/2024
“Expected Hierarchical Clustering” is at #NeurIPS2024! This would not have been possible without Marcel Kollovieh* who lead the project, @danielzuegner.bsky.social and Stephan Günnemann ! 1/4
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Bertrand Charpentier @bertrand-sharp.bsky.social · 27/11/2024
🚀 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗔𝗵𝗲𝗮𝗱 Our journey continues as we grow our team of 𝘁𝗼𝗽 𝘁𝗮𝗹𝗲𝗻𝘁𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗘𝘂𝗿𝗼𝗽𝗲 🇪🇺, with hubs in Germany and France 🇩🇪🤝🇫🇷. Together, we’re enabling cutting-edge AI compression and deployment without compromising real-world performance.
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Bertrand Charpentier @bertrand-sharp.bsky.social · 27/11/2024
🌟 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗕𝗮𝗰𝗸 What started as an idea in my PhD, became an incredible journey. Bringing together my brilliant co-founders -S. Günnemann, J. Rachwan, R. Nait Mazi- was a pivotal step for Pruna AI. In 1 year, we smashed thousands of AI models, making them 𝗰𝗵𝗲𝗮𝗽𝗲𝗿💲, 𝗳𝗮𝘀𝘁𝗲𝗿⚡, 𝘀𝗺𝗮𝗹𝗹𝗲𝗿💾, and 𝗴𝗿𝗲𝗲𝗻𝗲𝗿🌳.
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Bertrand Charpentier @bertrand-sharp.bsky.social · 27/11/2024
@prunaai.bsky.social has raised $𝟲.𝟱𝗠 to make AI accessible to everyone 👥 and sustainable for the planet 🌍! #EfficientAI #AccessibleAI #SustainableAI #TechForGood
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Bertrand Charpentier @bertrand-sharp.bsky.social · 21/11/2024
I would be happy to be part of it :)
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Bertrand Charpentier @bertrand-sharp.bsky.social · 20/11/2024
That looks great! I would love to be in :)
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