Machine Learning Research

World Models with known uncertainty

Combine Deep Equilibrium Models with Incremental RNNs

Use a pre-trained language model to somehow train a smaller compositional model

Train a discriminator to say if 2 images are the same and use it as the energy signal for a decoder on out-of-distribution images

Equilibrium Capsule Networks

Visio-Linguistic Model should be trained with conterfactual (?) / complementary pairs