Colin Conwell

According to our database, Colin Conwell authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Using Multimodal Deep Neural Networks to Disentangle Language from Visual Aesthetics.

Colin Conwell, Christopher Hamblin, Chelsea Boccagno, David Mayo, Jesse Cummings, Leyla Isik, Andrei Barbu

CoRR, 2024

Training the Untrainable: Introducing Inductive Bias via Representational Alignment.

Vighnesh Subramaniam, David Mayo, Colin Conwell, Tomaso A. Poggio, Boris Katz, Brian Cheung, Andrei Barbu

CoRR, 2024

Revealing Vision-Language Integration in the Brain with Multimodal Networks.

Vighnesh Subramaniam, Colin Conwell, Christopher Wang, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

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

2023

A sparse null code emerges in deep neural networks.

Brian S. Robinson, Nathan Drenkow, Colin Conwell, Michael F. Bonner

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

2022

Testing Relational Understanding in Text-Guided Image Generation.

Colin Conwell, Tomer D. Ullman

CoRR, 2022

2021

On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation.

Binxu Wang, David Mayo, Arturo Deza, Andrei Barbu, Colin Conwell

CoRR, 2021

Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex.

Colin Conwell, David Mayo, Andrei Barbu, Michael A. Buice, George Alvarez, Boris Katz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021