activity
20242026
most citedHolistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.AI20261 cited

Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making

Kausik Lakkaraju, Siva Likitha Valluru, Biplav Srivastava

As AI systems increasingly mediate decisions in domains such as credit scoring and financial forecasting, their lack of transparency and bias raises critical concerns for fairness…

cs.LG2026

Creating a Causally Grounded Rating Method for Assessing the Robustness of AI Models for Time-Series Forecasting

Kausik Lakkaraju, Rachneet Kaur, Parisa Zehtabi +5

AI models, including both time-series-specific and general-purpose Foundation Models (FMs), have demonstrated strong potential in time-series forecasting across sectors like financ…

cs.LG2025

A Novel Approach to Balance Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes and its Implementation in BEACON

Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju +4

A common decision made by people, whether healthy or with health conditions, is choosing meals like breakfast, lunch, and dinner, comprising combinations of foods for appetizer, ma…

cs.AI2024

BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes

Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju +1

A common, yet regular, decision made by people, whether healthy or with any health condition, is to decide what to have in meals like breakfast, lunch, and dinner, consisting of a…