graph neural networks, machine learning on graphs, relational inference
2022 – Present
statistical mechanics of learning, training dynamics
2022 – Present
inductive bias, convolutional neural networks
2020 – Present
deep learning, machine learning for physics, machine learning for inverse problems, machine learning for imaging
2017 – Present
inverse problems
2015 – Present
signal processing, distance geometry, audio and acoustics
2010 – Present