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Posts by Mateusz Gajewski

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From time to time I write about the need to do interdisciplinary research when AI is used to solve problems from other disciplines. Yesterday, our paper on “Implicit modeling of equivariant tensor basis with Euclidean turbulence closure neural network” was published pubs.aip.org/aip/pof/arti...

1 year ago 1 1 0 0
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🚨 Image AutoRegressive Models Leak More Training Data Than Diffusion Models🚨

IARs — like the #NeurIPS2024 Best Paper — now lead in AI image generation. But at what risk?

IARs:
🔍 Are more likely than DMs to reveal training data
🖼️ Leak entire training images verbatim

🧵 1/

1 year ago 13 3 1 0

Love question 2 from @tenanatc.bsky.social

Ciaran Lee from Spotify worked on quantum causal models and it seems we have a pretty good ways to go from the quantum to deterministic structural models.

We discuss it briefly in the upcoming episode of the Causal Bandits Podcast.

#CausalSky

1 year ago 2 2 0 0
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To były dwa bardzo intensywne dni w Davos.
- W czwartek rano panel w Poland Biznes Hub o dekarbonizacji
- W czwartek w południe, to panel w Belgium House, gdzie mowę wstępną wygłosił premier Belgii
- W piątek rano "polski" panel w AI House, o znaczeniu lokalnych talentóe dla globalnych innowacji

1 year ago 1 2 0 0
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OpenAI and Softbank are starting a $500 billion AI data center company Nvidia, Microsoft, and Arm are among the technology partners.

500 miliardów dolarów - tyle Stany Zjednoczone planują wydać na centra obliczeniowe dla AI w najbliższych 4 latach. Wczoraj ten plan ogłosił Donald Trump razem z Masayoshi Sonem - CEO SoftBank, Samem Altmanem - CEO OpenAI oraz Larrym Ellisonem - prezesem Oracle -
www.theverge.com/2025/1/21/24....

1 year ago 2 2 0 0
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USA ograniczą dostęp do chipów. Co to oznacza dla Polski? W Stanach Zjednoczonych przepływ ludzi pomiędzy nauką i biznesem jest płynny. Naukowcy tworzą firmy, zakładają start-upy. Prof. Piotr Sankowski zwraca uwagę,

Polecam moją rozmowę z
Beatą Mońką w Interii biznes.interia.pl/gospodarka/n... między innymi o tym gdzie jesteśmy aktualnie w Polsce w rozwoju AI.

1 year ago 0 1 0 0
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That was @neuripsconf.bsky.social 2024 seen through the eyes of IDEAS NCBR researchers
See more ➡️ ideas-ncbr.pl/en/ideas-ncb... #neurips

1 year ago 3 1 0 0
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I am totally in the FOMO mode, seeing #NeurIPS24 messages. I’m not there :( this year.

However, I recommend chatting with my co-authors and students :) @bartoszpiotrowski.bsky.social @albertqjiang.bsky.social @michalnauman @mateuszostaszewski.bsky.social

2 papers on the main track and spotlight

1 year ago 4 2 1 0
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Duże konferencje są dobre bo są dobre i duże ;). NeurIPS 2024 to 16500 uczestników, co pokazuje dlaczego warto tutaj publikować, bo każda opublikowana praca z definicji dostaje kilkunastotysięczne audytorium. O naszej widoczności na NeurIPS pisał też Kuba Pachocki (główny naukowiec w OpenAI).

1 year ago 2 1 0 0
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AAAI-25 - AAAI

Cool news. Our paper "Accurate estimation of feature importance faithfulness for tree models" (arxiv.org/pdf/2404.03426) with Mateusz Gajewski, Adam Karczmarz, Mateusz Rapicki has just been accepted to AAAI conference (aaai.org/conference/a...).

1 year ago 2 1 0 0

Finally, describe in detail available real-world datasets and advocate their usage. The study is a mine of ideas 💡 for evaluation of causal discovery methods. What are your thoughts?

1 year ago 1 0 0 0

🚨 The paper challenges the reliance on structural metrics (SHD) and propose to use interventional metrics as “they assess the outcomes we truly care about — the effects of unseen interventions”. 🌍

1 year ago 1 0 1 0

The authors review a large body of work on causal discovery, analyzing how methods are evaluated. They provide a detailed summary of both datasets and metrics currently in use. 📚

1 year ago 1 0 1 0
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The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications Causal discovery aims to automatically uncover causal relationships from data, a capability with significant potential across many scientific disciplines. However, its real-world applications remain l...

How would you evaluate a new causal discovery method? A new paper by Brouillard et al. challenges the common approaches and suggests a rethink. Here’s what they found 🧵👇
arxiv.org/abs/2412.01953

#CausalSky

1 year ago 5 2 1 0

I have created a starter pack for the Polish ML community. Let's grow it together! Let me know if you know somebody who should be included.
go.bsky.app/TSkgFjK

1 year ago 17 9 5 1