Aditya Lahiri

According to our database, Aditya Lahiri authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Computational Study of Efficient Combinations of FDA-Approved Drugs and Dietary Supplements in Endometrial Cancer.

Madhurima Mondal, Aditya Lahiri, Haswanth Vundavilli, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta

IEEE Access, 2024

Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation.

Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Deterministic Algorithmic Approaches to Solve Generalised Wordle.

Aditya Lahiri, Naigam Shah, Shivaank Agarwal, Vignesh Nandakumar

CoRR, 2023

Drug Target Identification in Triple Negative Breast Cancer Stem Cell Pathways: A Computational Study of Gene Regulatory Pathways Using Boolean Networks.

Aditya Lahiri, Haswanth Vundavilli, Madhurima Mondal, Pranabesh Bhattacharjee, Brian Decker, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta

IEEE Access, 2023

Combination Supplements for Endometrial Cancer.

Madhurima Mondal, Aditya Lahiri, Haswanth Vundavilli, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

Precision Targeting of Non-Small Cell Lung Cancer: Identifying Optimal Drug Targets and FDA-Approved Combinations for Enhanced Therapeutic Efficacy.

Pranabesh Bhattacharjee, Aditya Lahiri, Norman Peter Reeves, Aniruddha Datta

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

Combining Counterfactuals With Shapley Values To Explain Image Models.

Aditya Lahiri, Kamran Alipour, Ehsan Adeli, Babak Salimi

CoRR, 2022

Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces.

Kamran Alipour, Aditya Lahiri, Ehsan Adeli, Babak Salimi, Michael J. Pazzani

CoRR, 2022

Explainable AI: Foundations, Applications, Opportunities for Data Management Research.

Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Predicting Airbnb Rental Prices Using Multiple Feature Modalities.

Aditya Ahuja, Aditya Lahiri, Aniruddha Das

CoRR, 2021

Pitfalls of Explainable ML: An Industry Perspective.

Sahil Verma, Aditya Lahiri, John P. Dickerson, Su-In Lee

CoRR, 2021

2020

Accurate and Intuitive Contextual Explanations using Linear Model Trees.

Aditya Lahiri, Narayanan Unny Edakunni

CoRR, 2020

2018

Bayesian Modeling of Plant Drought Resistance Pathway.

Aditya Lahiri, Priyadharshini S. Venkatasubramani, Aniruddha Datta

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018