The impact of short term synaptic depression and stochastic vesicle dynamics on neuronal variability. - Steven Reich; Robert Rosenbaum (J. Comput. Neurosci., 2013)

Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three. - Steven Reich; David Mueller; Nicholas Andrews (EMNLP (1), 2020)

Witchcraft: Efficient PGD Attacks with Random Step Size. - Ping-Yeh Chiang; Jonas Geiping; Micah Goldblum; Tom Goldstein; Renkun Ni; Steven Reich; Ali Shafahi (ICASSP, 2020)

Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks. - Micah Goldblum; Steven Reich; Liam Fowl; Renkun Ni; Valeriia Cherepanova; Tom Goldstein (ICML, 2020)

Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations. - Amin Ghiasi; Hamid Kazemi; Steven Reich; Chen Zhu 001; Micah Goldblum; Tom Goldstein (ICML, 2022)

A Deep Dive into Dataset Imbalance and Bias in Face Identification. - Valeriia Cherepanova; Steven Reich; Samuel Dooley; Hossein Souri; Micah Goldblum; Tom Goldstein (CoRR, 2022)

What do Vision Transformers Learn? A Visual Exploration. - Amin Ghiasi; Hamid Kazemi; Eitan Borgnia; Steven Reich; Manli Shu; Micah Goldblum; Andrew Gordon Wilson; Tom Goldstein (CoRR, 2022)

A Deep Dive into Dataset Imbalance and Bias in Face Identification. - Valeriia Cherepanova; Steven Reich; Samuel Dooley; Hossein Souri; John P. Dickerson; Micah Goldblum; Tom Goldstein (AIES, 2023)

Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. - Liam H. Fowl; Jonas Geiping; Steven Reich; Yuxin Wen; Wojciech Czaja; Micah Goldblum; Tom Goldstein (ICLR, 2023)