Program Synthesis from Visual Specification. - Evan Hernandez; Ara Vartanian; Xiaojin Zhu 001 (CoRR, 2018)

The Low-Dimensional Linear Geometry of Contextualized Word Representations. - Evan Hernandez; Jacob Andreas (CoNLL, 2021)

Toward a Visual Concept Vocabulary for GAN Latent Space. - Sarah Schwettmann; Evan Hernandez; David Bau; Samuel Klein; Jacob Andreas; Antonio Torralba 001 (ICCV, 2021)

Natural Language Descriptions of Deep Visual Features. - Evan Hernandez; Sarah Schwettmann; David Bau; Teona Bagashvili; Antonio Torralba 001; Jacob Andreas (ICLR, 2022)

Do We Still Need Clinical Language Models? - Eric Lehman; Evan Hernandez; Diwakar Mahajan; Jonas Wulff; Micah J. Smith; Zachary Ziegler; Daniel Nadler; Peter Szolovits; Alistair E. W. Johnson; Emily Alsentzer (CHIL, 2023)

Measuring and Manipulating Knowledge Representations in Language Models. - Evan Hernandez; Belinda Z. Li; Jacob Andreas (CoRR, 2023)

Linearity of Relation Decoding in Transformer Language Models. - Evan Hernandez; Arnab Sen Sharma; Tal Haklay; Kevin Meng; Martin Wattenberg; Jacob Andreas; Yonatan Belinkov; David Bau (ICLR, 2024)

A Multimodal Automated Interpretability Agent. - Tamar Rott Shaham; Sarah Schwettmann; Franklin Wang; Achyuta Rajaram; Evan Hernandez; Jacob Andreas; Antonio Torralba 001 (ICML, 2024)

Automated Interpretation of Machine Learning Models - Evan Hernandez (2024)