Self-Supervised Learning for JEPA

Engineered JEPA using Barlow Twins with ResNet-18 Context Encoder and LSTM Cell as Predictor under Markov Assumption. Achieved 3rd Rank in the Competition with a state-of-the-art probing loss of 0.84, which can accurately predict trajectories.