On the asymptotics of wide networks with polynomial activations. - Kyle Aitken; Guy Gur-Ari (CoRR, 2020)

The geometry of integration in text classification RNNs. - Kyle Aitken; Vinay Venkatesh Ramasesh; Ankush Garg; Yuan Cao; David Sussillo; Niru Maheswaranathan (ICLR, 2021)

Understanding How Encoder-Decoder Architectures Attend. - Kyle Aitken; Vinay V. Ramasesh; Yuan Cao; Niru Maheswaranathan (NeurIPS, 2021)

The geometry of representational drift in natural and artificial neural networks. - Kyle Aitken; Marina E. Garrett; Shawn R. Olsen; Stefan Mihalas (PLoS Comput. Biol., 2022)