Explores non conceptual knowledge systems through image translation, video synthesis, self-supervised learning challenges, and universal representations.
Delves into the spectral bias of polynomial neural networks, analyzing the impact on learning different frequencies and discussing experimental results.
Explores model-based deep reinforcement learning, focusing on Monte Carlo Tree Search and its applications in game strategies and decision-making processes.
