Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan and Ila Rani Fiete. Efficient Online Inference for Nonparametric Latent Variable Time Series. UAI 2021.
Rylan Schaeffer, Nimrod Shaham, Gabriel Kreiman, Haim Sompolinsky. Neural network model of amygdalar memory engram formation and function. COSYNE 2021.
Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, International Brain Laboratory, Ila Rani Fiete Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice. NeurIPS 2020
Rylan Schaeffer, Aida Picatto, Ila Rani Fiete. Recovering low dimensional, interpretable mechanistic models via Representations and Dynamics Distillation. In preparation (2021).
Rylan Schaeffer, Nayantara Mudur, Helena Casademunt. Towards Unifying Smooth Neural Codes with Adversarially Robust Representations. 2019.