Usha Bhalla - RankMe

14 papers A* 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Evaluating Adversarial Robustness of Concept Representations in Sparse Autoencoders. EACL (Volume 1: Long Papers) Aaron J. Li, Suraj Srinivas, Usha Bhalla, Himabindu Lakkaraju
2025	J	`jnl`	Building Bridges, Not Walls - Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution. CoRR Shichang Zhang, Tessa Han, Usha Bhalla, Hima Lakkaraju
2025	J	`jnl`	Interpretability Illusions with Sparse Autoencoders: Evaluating Robustness of Concept Representations. CoRR Aaron J. Li, Suraj Srinivas, Usha Bhalla, Himabindu Lakkaraju
2025	J	`jnl`	RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories. CoRR Roy Rinberg, Usha Bhalla, Igor Shilov, Flávio P. Calmon, Rohit Gandikota
2025	J	`jnl`	Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability. CoRR Usha Bhalla, Alex Oesterling, Claudio Mayrink Verdun, Himabindu Lakkaraju, Flávio P. Calmon
2024	J	`jnl`	All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models. CoRR Charumathi Badrinath, Usha Bhalla, Alex Oesterling, Suraj Srinivas, Himabindu Lakkaraju
2024	A*	`conf`	Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE). NeurIPS Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju
2024	J	`jnl`	Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE). CoRR Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju
2024	J	`jnl`	Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers. CoRR Alex Oesterling, Usha Bhalla, Suresh Venkatasubramanian, Himabindu Lakkaraju
2024	J	`jnl`	Towards Unifying Interpretability and Control: Evaluation via Intervention. CoRR Usha Bhalla, Suraj Srinivas, Asma Ghandeharioun, Himabindu Lakkaraju
2023	A*	`conf`	Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability. NeurIPS Usha Bhalla, Suraj Srinivas, Himabindu Lakkaraju
2023	J	`jnl`	Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? Trans. Mach. Learn. Res. Tian Yun, Usha Bhalla, Ellie Pavlick, Chen Sun
2023	J	`jnl`	Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability. CoRR Usha Bhalla, Suraj Srinivas, Himabindu Lakkaraju
2022	J	`jnl`	Do Vision-Language Pretrained Models Learn Primitive Concepts? CoRR Tian Yun, Usha Bhalla, Ellie Pavlick, Chen Sun