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Mayank Keoliya

2 accepted papers

2025

ESCA: Contextualizing Embodied Agents via Scene-Graph Generation

NeurIPS 2025spotlight

Multi-modal large language models (MLLMs) are making rapid progress toward general-purpose embodied agents. However, existing MLLMs do not reliably capture fine-grained links between low-level visual features and high-level textual semantics, leading to weak grounding and inaccurate perception. To o…

Cited by 0SourcecodeScholar
2024

DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation

ICML 2024spotlight

Designing faithful yet accurate AI models is challenging, particularly in the field of individual treatment effect estimation (ITE). ITE prediction models deployed in critical settings such as healthcare should ideally be (i) accurate, and (ii) provide faithful explanations. However, current solutio…