[EEML'24] Jovana Mitrović - Vision Language Models

(1:16:34)

[EEML'24] Sander Dieleman - Generative modelling through iterative refinement

(1:4:8)

[EEML'24] Michael Bronstein - Geometric Deep Learning

(1:9:12)

[EEML'24] Startup Panel (Moderated by Maciek Gnutek)

(1:12:25)

[EEML'24] Krstan Kešelj - Machine Learning Driven Wheat Yield Prediction

(11:43)

[EEML'24] Alfredo Canziani - Foundations of Deep Learning

(1:39:44)

[EEML'24] Vladimir Gligorijević - Accelerating Drug Discovery \u0026 Development: AI in Therapeutics

(1:10:33)

[EEML'24] Răzvan Pașcanu - Advanced Architectures

(1:46:40)

[EEML'24] Ivana Malenica - Introduction to Causal Inference

(1:4:22)

[EEML'24] Chris Dyer - Fine-tuning Language Models

(1:9:43)

[EEML'24] Yee Whye Teh - Bayesian Deep Learning

(1:15:46)

[EEML'24] Nenad Tomašev - AI for Good

(1:13:14)

[EEML'24] Velibor Ilić - Active Learning

(48:55)

[EEML'24] Tudor Berariu - UiPath Keynote

(25:31)

[EEML'24] Matěj Míček - Introduction to Venture Capital

(31:24)

[EEML'24] Aleksandra Faust - Autonomous Agents in the Era of Large Language Models

(1:10:25)

[EEML'24] Hamza Merzić - Introduction to Deep Reinforcement Learning

(1:23:34)

[EEML'24] Iulia Duță \u0026 Vladimir Viktor Mirjanić - Geometric Deep Learning Tutorial

(13:7)