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Felix Petersen
171 posts
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Felix Petersen
@FHKPetersen
Machine learning researcher, postdoc. Investigating differentiable algorithms etc. @Stanford @StanfordAILab.
Bay Area
petersen.ai
Joined November 2016
290
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2,293
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    Felix Petersen
    @FHKPetersen
    Nov 11, 2024
    Excited to share our NeurIPS 2024 Oral, Convolutional Differentiable Logic Gate Networks, leading to a range of inference efficiency records, including inference in only 4 nanoseconds 🏎️. We reduce model sizes by factors of 29x-61x over the SOTA. Paper: arxiv.org/abs/2411.04732
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    Felix Petersen
    @FHKPetersen
    Sep 9, 2022
    I am excited to announce that I have successfully defended my PhD and have published my PhD thesis on “Learning with Differentiable Algorithms”. 🎉 arxiv.org/abs/2209.00616 In the thesis, I explore how we can make discrete structures like algorithms differentiable. [1/13]
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    Felix Petersen
    @FHKPetersen
    Jan 10, 2023
    I am proud to announce that we have just released difflogic, a PyTorch-based library for differentiable logic gate networks. Training is now around 50-100x faster than in our original NeurIPS 2022 paper code, as we provide heavily-optimized CUDA kernels. github.com/Felix-Petersen…
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    Felix Petersen
    @FHKPetersen
    May 13, 2023
    I’m excited to announce our call for papers for our #ICML2023 workshop “Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators”. differentiable.xyz If you are working on #differentiable things, consider submitting a 4-page paper.
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    Felix Petersen
    @FHKPetersen
    Dec 3, 2024
    Ever wondered how training dynamics differ between LLMs 🖋️ and Vision 👁️ models? We explore this and close the gap between VMs and LLMs in our #NeurIPS2024 paper "TrAct: Making First-layer Pre-Activations Trainable". Paper📜 arxiv.org/abs/2410.23970 Video🎥 youtu.be/ZjTAjjxbkRY
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    Felix Petersen
    @FHKPetersen
    Nov 28, 2024
    I'm excited to share our NeurIPS 2024 paper "Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms" 🤖. Paper link 📜: arxiv.org/abs/2410.19055 Video link 🎥: youtube.com/watch?v=7aFPIM… @StanfordAILab 1/6 🧵
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    Felix Petersen
    @FHKPetersen
    Apr 2, 2024
    We are excited to announce that the second edition of our workshop on Differentiable Almost Everything got accepted to #ICML2024 in Vienna 🎻! Check out our updated website: differentiable.xyz @CuturiMarco @HildeKuehne @Michael_A_Kagan @StefanoErmon @icmlconf
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    Felix Petersen
    @FHKPetersen
    Jul 20, 2023
    We are excited to announce 46 accepted papers for the Differentiable Almost Everything Workshop @ ICML 2023! Check out the exciting papers @ differentiable.xyz/papers Congratulations to all the authors 🎉 We are looking forward to seeing you next week (Fri, July 28) @icmlconf
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    Felix Petersen
    @FHKPetersen
    Dec 27, 2024
    I'm excited to share that our work on convolutional differentiable logic gate networks was covered by MIT Technology Review. 🎉 technologyreview.com/2024/12/20/110… @StefanoErmon @HildeKuehne
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    The next generation of neural networks could live in hardware
    From technologyreview.com
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    Felix Petersen
    @FHKPetersen
    Nov 11, 2024
    Replying to @FHKPetersen
    If you're excited about #AI with #logic, check out our fully animated video here on 𝕏 or on YouTube: youtu.be/FKQfMwFZvIE #NeurIPS
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    Felix Petersen
    @FHKPetersen
    Oct 6, 2023
    Replying to @FHKPetersen
    Had a great time presenting our poster together with @ninashv__ at @ICCVConference in Paris 🥐🇫🇷
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    Felix Petersen
    @FHKPetersen
    May 12, 2024
    If you are working on anything differentiable, consider submitting your 4-page paper to the #ICML2024 Differentiable Almost Everything workshop in Vienna 🎻! The submission site is now open: openreview.net/group?id=ICML.… @CuturiMarco @HildeKuehne @StefanoErmon @icmlconf
    openreview.net
    ICML 2024 Workshop Differentiable Almost Everything
    Welcome to the OpenReview homepage for ICML 2024 Workshop Differentiable Almost Everything
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    Felix Petersen
    @FHKPetersen
    Nov 19, 2021
    In our #NeurIPS paper on “Learning with Algorithmic Supervision via Continuous Relaxations”, we present a general method for making algorithms differentiable. arxiv.org/abs/2110.05651 @OliverDeussen @HildeKuehne @UniKonstanz @MITIBMLab @NeurIPSConf #MachineLearning
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    Felix Petersen
    @FHKPetersen
    Jul 19, 2024
    We are excited to announce 43 accepted papers at the Differentiable a.e. Workshop at #ICML2024 in Vienna 🎻🎉. Make sure to join us this Friday! Proceedings link: differentiable.xyz/papers-2024 @icmlconf
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