10 citations · 23 across the 7 of their papers we have counts for
7 papers
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation
Jensen Hwa, Qingyu Zhao, Aditya Lahiri +3
Conditional independence (CI) constraints are critical for defining and evaluating fairness in machine learning, as well as for learning unconfounded or causal representations. Tra…
Deterministic Algorithmic Approaches to Solve Generalised Wordle
Aditya Lahiri, Naigam Shah, Shivaank Agarwal +1
Wordle is a single-player word-based game where the objective is to guess the 5-letter word in a maximum of 6 tries. The game was released to the public in October 2021 and has sin…
Combining Counterfactuals With Shapley Values To Explain Image Models
Aditya Lahiri, Kamran Alipour, Ehsan Adeli +1
With the widespread use of sophisticated machine learning models in sensitive applications, understanding their decision-making has become an essential task. Models trained on tabu…
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces
Kamran Alipour, Aditya Lahiri, Ehsan Adeli +2
Despite their high accuracies, modern complex image classifiers cannot be trusted for sensitive tasks due to their unknown decision-making process and potential biases. Counterfact…
Predicting Airbnb Rental Prices Using Multiple Feature Modalities
Aditya Ahuja, Aditya Lahiri, Aniruddha Das
Figuring out the price of a listed Airbnb rental is an important and difficult task for both the host and the customer. For the former, it can enable them to set a reasonable price…
Pitfalls of Explainable ML: An Industry Perspective
Sahil Verma, Aditya Lahiri, John P. Dickerson +1
As machine learning (ML) systems take a more prominent and central role in contributing to life-impacting decisions, ensuring their trustworthiness and accountability is of utmost…
Accurate and Intuitive Contextual Explanations using Linear Model Trees
Aditya Lahiri, Narayanan Unny Edakunni
With the ever-increasing use of complex machine learning models in critical applications within the finance domain, explaining the decisions of the model has become a necessity. Wi…