Alexa R. Tartaglini

According to our database, Alexa R. Tartaglini authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning.

Qinan Yu, Alexa R. Tartaglini, Peter Hase, Carlos Guestrin, Christopher Potts

CoRR, April, 2026

I Walk the Line: Examining the Role of Gestalt Continuity in Object Binding for Vision Transformers.

Alexa R. Tartaglini, Michael A. Lepori

CoRR, April, 2026

2025

Addressing divergent representations from causal interventions on neural networks.

Satchel Grant, Simon Jerome Han, Alexa R. Tartaglini, Christopher Potts

CoRR, November, 2025

Diagnosing Bottlenecks in Data Visualization Understanding by Vision-Language Models.

Alexa R. Tartaglini, Satchel Grant, Daniel Wurgaft, Christopher Potts, Judith E. Fan

CoRR, October, 2025

Exploring the mechanisms that enable multimodal reasoning about data visualizations in vision-language models.

Alexa R. Tartaglini, Christopher Potts, Judith E. Fan

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects.

Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations.

Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick

CoRR, 2023

2022

A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines.

Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks.

Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021