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Payal Varshney

4 papers hereh-index 211 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.LG2026

The Sound of Death: Deep Learning Reveals Vascular Damage from Carotid Ultrasound

Christoph Balada, Aida Romano-Martinez, Payal Varshney +10

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, yet early risk detection is often limited by available diagnostics. Carotid ultrasound, a non-invasi…

cs.CV2026

LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations

Payal Varshney, Adriano Lucieri, Christoph Balada +2

Video-based AI systems are increasingly adopted in safety-critical domains such as autonomous driving and healthcare. However, interpreting their decisions remains challenging due…

cs.CV2025

Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering

Payal Varshney, Adriano Lucieri, Christoph Balada +2

Concept-based explanations have emerged as an effective approach within Explainable Artificial Intelligence, enabling interpretable insights by aligning model decisions with human-…

cs.LG2025

Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery

Payal Varshney, Adriano Lucieri, Christoph Balada +2

Trustworthiness is a major prerequisite for the safe application of opaque deep learning models in high-stakes domains like medicine. Understanding the decision-making process not…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.