🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Self-supervised Learning with Masked Autoencoders (MAE) is known to produce worse image representations than Joint-Embedding approaches (e.g. DINO). In our new paper, we identify new reasons for why that is and point towards solutions: arxiv.org/abs/2412.03215 🧵

In Vision & Audio transformers, not all tokens need the same compute resources! We propose “modular learners” to control compute at token-level granularity (MHA & MLP): hard tokens get more, easy ones get less! Fun work Bartosz Wójcik Pasquale Minervini Simone Scardapane Soon #AAAI25 Link👇

We’re thrilled to share some incredible news with you—celebrating the successes of our amazing team at GMUM. 📷 Congratulations to Piotr Borycki, Marcin Sandera, Przemysław Spurek, Joanna Waczyńska, and Bartosz Wójcik for their outstanding research and presentations!

🚀 Exciting News! 🚀 "LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision" has been accepted to ICLR 2025! 🎉 Congratulations on the amazing work of Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński, and Dawid Rymarczyk!

⭐️ Another great success from our group! "FreSh: Frequency Shifting for Accelerated Neural Representation Learning" has been accepted for ICLR2025! Amazing work by Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor and Przemyslaw Spurek!

🚀 Another great success from our team - Negative Gaussian Splatting (NegGS) is Accepted to Information Sciences! 📄🎉 Credits to Artur Kasymov, Bartosz Czekaj, Marcin Mazur, Jacek Tabor, and Przemysław Spurek for amazing work! sciencedirect.com/science/articl…

📢You’re invited to the Machine Learning Summer School on Drug and Materials Discovery (MLSS^D 2025)! 🚀🔬 🌟 MLSS^D is an intensive summer school focused on cutting-edge machine learning techniques and their applications in drug discovery and materials science. By joining

Make It Count – Certification & Academic Credit Opportunity Are you wondering if attending MLSS^D 2025 can contribute to your academic progress?  With 30+ hours of expert-led lectures and a poster session, our summer school offers an intensive learning experience that can

🚀Intriguing Applications and Overlooked Pitfalls of XAI in Visual Models The slides for a talk I had given at GMUM - Group of Machine Learning Research Workshop, Jagiellonian University in October, 2024 are now up. ✨ Slides: sidgairo18.github.io/misc_resources… #XAI #ML #ComputerVision #research

📢 Join GMUM! 👀 Do you want to join our team as an Assistant Professor and work in the field of AI/ML? We are currently looking for a new member if you hold PhD degree and are interested, don't hesitate to apply! Learn more here: euraxess.pl/jobs/164401

🚀 Excited to share an update on our latest work — RaySplats: Ray Tracing based Gaussian Splatting! We just added a viewer to our paper to let you explore the results interactively! 🎥✨ 🖱️ github.com/KByrski/RaySpl… #E3DGSAR #3DGaussianSplatting #FNP FNP Foundation for Polish Science GMUM - Group of Machine Learning Research

Just returned from an inspiring weekend at GHOST Day: Applied Machine Learning Conference 2025 in Poznań, Poland 🇵🇱🤖! It felt great to attend an event at my alma mater, Politechnika Poznańska 🎓, and revisit the city that holds so many memories for me. The conference was filled with insightful talks and engaging

Are you planning to visit Data Science Summit in June? 👀 If so, don't miss the amazing talk from Tomasz Danel!

Another incoming talk on Data Science Summit in June from our team!

If you are visiting the Data Science Summit, don't miss out on a great talk from our team member Joanna Waczyńska!

Big thanks to the GOATs Randall Balestriero, Wojciech Jasiński, Marek Śmieja, and Bartosz Zielinski for this super fun collaboration. Honolulu here we come! 🌺✈️ #ICCV2025 GMUM - Group of Machine Learning Research [7/7]

Today we are kicking off the MLSS^D 2025 summer school at Uniwersytet Jagielloński by GMUM - Group of Machine Learning Research & ML in PL with the talk by Kaja Milanowska-Zabel on AI in drug discovery!

🎉 Stypendia Ministra Nauki i Szkolnictwa Wyższego dla wybitnych młodych naukowców w 2025 r. rozdane! Niezmiernie miło nam ogłosić i jednocześnie pogratulować naszemu koledze – Marcin Przewięźlikowski ! 👏 Dziękujemy Marcin, że jesteś z nami!