Joined September 2013
Check out the paper & code for all the details! 📝 Paper: arxiv.org/abs/2502.04959 💻 Code: github.com/danielm1405/iso-m… Huge thanks to my amazing collaborators: @SimoneM44644 @SebastianCygert @btwardow @bagdanov Joost Van de Weijer
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🔥 New Paper! How can sparse autoencoders (SAEs) applied to diffusion models help us solve real-world challenges? 🚀 Introducing 𝗦𝗔𝗲𝗨𝗿𝗼𝗻: We use SAEs for unlearning in diffusion models and outperform existing baselines! Here's how it works: 🧵 1/
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Deeply concerned about the future of IDEAS NCBR, a pioneering AI research institute & newly approved ELLIS unit. International advisory board members, incl. Aleksander Mądry, have resigned after the sudden and unjustified replacement of its founding director. @donaldtuskEPP
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We are happy to announce the next 2 editions of CoLLAs! CoLLAs 2023 will happen once again in Montreal, Canada and CoLLAs 2024 will happen in Italy!
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Moja prezentacja z Data Science Summit 2017 - slideshare.net/BartomiejTwar… #DataScience Warsaw #dssconf
Morning coffee reading - When is data science a house of cards? by @PinterestEng engineering.pinterest.com/bl…
My slides from Data Science meetup: intro to Factorization Machines : slideshare.net/BartomiejTwar… and recsys2016 review: slideshare.net/BartomiejTwar…
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The DLRS proceedings is now available on ACM DL, dl.acm.org/citation.cfm?id=2… #recsys2016 #dlrs2016
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My slides for: Modeling Contextual Information in Session-Aware Recommender Systems with Neural Networks slideshare.net/BartomiejTwar… #recsys2016
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#recsys2017 will be in Como, Italy #recsys2016
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Good morning #RecSys2016!
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Wow! One of the best ml scientist going to Amazon. xitter.cf/smolix/status/74322702…
Leaving CMU - Dear Friends, As some of you may have already heard, I'm leaving CMU to join Amazon. tmblr.co/ZVfPSy27zKe4J
Who's downloading pirated papers? Everyone sciencemag.org/news/2016/04/…
Post on @Quora by Denis Yarats: Open sourcing QMF for matrix factorization engineering.quora.com/Open-s…
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Recommender Systems: New Comprehensive Textbook by Charu Aggarwal buff.ly/1SbvXhr #MachineLearning
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Good read for every SRE or those having services on production :-) Statistics for Software paypal-engineering.com/2016/…
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As a fan of bash and cli I enjoyed reading: aadrake.com/command-line-too… via @aadrake
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