Evan Hernandez

According to our database, Evan Hernandez authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated Interpretation of Machine Learning Models

Evan Hernandez

PhD thesis, 2024

A Multimodal Automated Interpretability Agent.

Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Measuring and Manipulating Knowledge Representations in Language Models.

Evan Hernandez, Belinda Z. Li, Jacob Andreas

CoRR, 2023

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

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Natural Language Descriptions of Deep Visual Features.

Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Toward a Visual Concept Vocabulary for GAN Latent Space.

Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

The Low-Dimensional Linear Geometry of Contextualized Word Representations.

Evan Hernandez, Jacob Andreas

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2018

Program Synthesis from Visual Specification.

Evan Hernandez, Ara Vartanian, Xiaojin Zhu

CoRR, 2018