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Felix Petersen
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Felix Petersen
@FHKPetersen
Machine learning researcher, postdoc. Investigating differentiable algorithms etc. @Stanford @StanfordAILab.
Bay Area
petersen.ai
Joined November 2016
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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 ๐ŸŽ๏ธ. 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
    Oct 23, 2025
    Join us today for Ubiquitous Ultra-Efficient Mobile Video Super-resolution + Denoising with Logic Gates at #ICCV2025 booth 247. ๐ŸŒบ
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    802
  • user avatar
    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. ๐ŸŽ‰ technologyreview.com/2024/12/20/110โ€ฆ @StefanoErmon @HildeKuehne
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    The next generation of neural networks could live in hardware
    From technologyreview.com
    10K
  • user avatar
    Felix Petersen
    @FHKPetersen
    Dec 13, 2024
    Join us today for our Oral presentation at 10:20am in East Ballroom A, B and our poster at 11am-2pm in East Exhibit Hall A-C #2411.
    user avatar
    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 ๐ŸŽ๏ธ. We reduce model sizes by factors of 29x-61x over the SOTA. Paper: arxiv.org/abs/2411.04732
    Image
    00:00
    1.9K
  • user avatar
    Felix Petersen
    @FHKPetersen
    Dec 12, 2024
    Join us now at our poster #1502 in East Exhibit Hall A-C 1502.
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    00:20
    user avatar
    Felix Petersen
    @FHKPetersen
    Dec 3, 2024
    Ever wondered how training dynamics differ between LLMs ๐Ÿ–‹๏ธ and Vision ๐Ÿ‘๏ธ models? We explore this and close the gap between VMs and LLMs in our #NeurIPS2024 paper "TrAct: Making First-layer Pre-Activations Trainable". Paper๐Ÿ“œ arxiv.org/abs/2410.23970 Video๐ŸŽฅ youtu.be/ZjTAjjxbkRY
    1.6K

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