Usha Bhalla

According to our database, Usha Bhalla authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Interpretability Illusions with Sparse Autoencoders: Evaluating Robustness of Concept Representations.

Aaron J. Li, Suraj Srinivas, Usha Bhalla, Himabindu Lakkaraju

CoRR, May, 2025

Building Bridges, Not Walls - Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution.

Shichang Zhang, Tessa Han, Usha Bhalla, Hima Lakkaraju

CoRR, January, 2025

2024

Towards Unifying Interpretability and Control: Evaluation via Intervention.

Usha Bhalla, Suraj Srinivas, Asma Ghandeharioun, Himabindu Lakkaraju

CoRR, 2024

All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models.

Charumathi Badrinath, Usha Bhalla, Alex Oesterling, Suraj Srinivas, Himabindu Lakkaraju

CoRR, 2024

Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers.

Alex Oesterling, Usha Bhalla, Suresh Venkatasubramanian, Himabindu Lakkaraju

CoRR, 2024

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE).

Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?

Tian Yun, Usha Bhalla, Ellie Pavlick, Chen Sun

Trans. Mach. Learn. Res., 2023

Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability.

Usha Bhalla, Suraj Srinivas, Himabindu Lakkaraju

CoRR, 2023

Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability.

Usha Bhalla, Suraj Srinivas, Himabindu Lakkaraju

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Do Vision-Language Pretrained Models Learn Primitive Concepts?

Tian Yun, Usha Bhalla, Ellie Pavlick, Chen Sun

CoRR, 2022