Lukas Siatka

@EstraxOfficial

Product / DevRel / ML / Audio / Bootloaders / Quantum Computing. INTJ. He/Him. Software Engineer at . ex-2x-FAANG. Views are my own.

Vrijeme pridruživanja: travanj 2012.

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  1. 1. velj

    Grafana Team & people of Prometheus, Cortex, Thanos, Loki, Metrictank and GitLab teams @ FOSDEM 2020. Stop by tomorrow at our booths if you are in Brussels. 😎

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  2. 24. lis 2019.
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  3. 8. ruj 2019.

    No matter what your role is, while working in a team, make sure you: 1. Explain 2. Clarify 3. Execute 4. Measure 5. Improve

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  4. 8. ruj 2019.

    Unpopular opinion: as we can consider education level to be constant (you can learn pretty much everything from the web and the main factor is your internet access), universities serve mostly as networking spaces nowadays.

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  5. 16. srp 2019.
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  6. 14. srp 2019.

    "Learning to learn with quantum neural networks via classical neural networks" by & the team. Great job guys!

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  7. 9. srp 2019.

    Reasons why I am in infra: Years ago, I was working on a big audio project for my customer, but my single machine wasn't enough to deal with that load. I had to learn the entire networking stack to set up a cluster of four and distribute the computations, so I can finish it up.

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  8. 4. srp 2019.

    Happy 4th of July to all my American friends! 🇺🇸

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  9. 2. srp 2019.
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  10. 6. svi 2019.

    tfw you get to know after 20+ years that you should be Portuguese instead

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  11. 19. tra 2019.

    RL & graph-to-graph VAE? Checked. Great paper by

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  12. 19. ožu 2019.

    Nice paper by Xavier Gitiaux, Huzefa Rangwala from - "Multi-Differential Fairness Auditor for Black Box Classifiers"

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  13. 18. ožu 2019.

    "Assessing Generalization in Deep Reinforcement Learning" - a really good paper from Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun and Dawn Song

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  14. 18. ožu 2019.

    Nice paper by Nikoli Dryden, Naoya Maruyama, Tom Benson, Tim Moon, Marc Snir, Brian Van Essen on scaling of CNNs

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  15. 2. ožu 2019.

    Guess who's back. Something BIG coming out later this year.

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  16. 25. velj 2019.

    Great paper by Daniel Zügner, Stephan Günnemann about Adversarial Attacks on Graph Neural Networks

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  17. 18. svi 2018.
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  18. 26. sij 2018.

    Together with we decided to give you one of our old tracks as a free download. Let this song be your solace and blow your mind.

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  19. 30. sij 2017.
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  20. 30. sij 2017.
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