Seminars
GMUM Seminar
Every Thursday at 14:00 in Room 1146
GMUM Seminar is our official seminar. Topics that we cover at this seminars are mostly our finished works, overviews of state-of-the-art methods, and progress in our projects.
Guests are always welcome! If you would like to present at our seminar, send a message to gmum@uj.edu.pl.
Tea Seminar
Every Friday at 10:00 in Room 1146
Tea Seminar is a semi-official seminar of our group. Here, we discuss our current research problems and new ideas.
The seminar is open to public, so if you're interested, come and join us with your morning cup of tea (or a mug of coffee).
Schedule
December 12, 2024 | main | Probabilistic Models for Neural Representations Michał Jamroż | |
December 6, 2024 | tea | Beyond [cls]: Exploring the true potential of Masked Image Modeling representations Marcin Przewięźlikowski | |
December 5, 2024 | main | Adapting Explainable Artificial Intelligence to Support Drug Design Agnieszka Wojtuch | |
November 29, 2024 | tea | Grokking Mateusz Pyla | |
November 28, 2024 | main | Impact of Collective Behaviors of Autonomous Vehicles on Urban Traffic Dynamics Onur Akman | |
November 22, 2024 | tea | D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup Joanna Waczyńska | |
November 22, 2024 | tea | Transformers for tabular data Marek Śmieja | |
November 21, 2024 | main | PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy. Weronika Smolak-Dyżewska | |
November 15, 2024 | tea | Monge--Ampere in neural networks (optimal transport) Noemie Combe | |
November 7, 2024 | main | Automatic Identification of Joint Attention Scenes Between Infant and Mother During Free Play Using Video Recordings Arkadiusz Białek | |
October 25, 2024 | tea | Explainability of Image Classification Models by Information Disentanglement Jacek Tabor | |
October 18, 2024 | tea | Interval Arithmetic in Deep Learning Daniel Wilczak | |
October 17, 2024 | main | Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization Aleksandra Nowak | |
October 10, 2024 | main | LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters Jacek Tabor | |
September 5, 2024 | main | Self-Supervised Learning from Video Shashanka Venkataramanan | |
June 14, 2024 | tea | Editing Representations in Model Merging Marcin Osial | |
June 13, 2024 | main | Exemplar-Free Continual Learning Dipam Goswami | |
June 7, 2024 | tea | AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale Adam Pardyl | |
June 6, 2024 | main | HyperInterval in continual learning Patryk Krukowski | |
May 23, 2024 | main | How to build an LLM Michał Pietruszka | |
May 10, 2024 | tea | Mesh Gaussian splating Joanna Waczyńska | |
May 9, 2024 | main | Diffusion Models Overview (from Stable Diffusion to SD3-Turbo) Artur Kasymov | |
April 26, 2024 | main | Parameter-Efficient Fine-Tuning for Large Language Models Klaudia Bałazy | |
April 19, 2024 | tea | Augmentation-aware Self-supervised Learning with Conditioned Projector Marcin Przewięźlikowski | |
April 18, 2024 | main | Symposium on Advanced Machine Learning Applications in Chemistry Igor Podolak, Jacek Tabor, Wim Dehaen, Adriana Borowa, Piotr Gaiński, Marek Śmieja, Anna Bielawska |