Arya Farahi

27 papers A* 3A 2B 1C 2Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions.
CoRR
Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao
2026 J jnl
Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe.
CoRR
Md. Khairul Islam, Zeyu Xia, Ryan Ghiles Goudjil, Jialu Wang, Arya Farahi, Judy Fox
2026 J jnl
Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning.
CoRR
Pietro Carlotti, Nevena Gligic, Arya Farahi
2026 J jnl
Simulation-Based Inference via Regression Projection and Batched Discrepancies.
CoRR
Arya Farahi, Jonah C. Rose, Paul Torrey
2025 A conf
I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers.
AISTATS
Ritwik Vashistha, Arya Farahi
2025 J jnl
I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers.
CoRR
Ritwik Vashistha, Arya Farahi
2025 C ed.
Testing Software and Systems - 36th IFIP WG 6.1 International Conference, ICTSS 2024, London, UK, October 30 - November 1, 2024, Proceedings
ICTSS
Héctor D. Menéndez, Gema Bello Orgaz, Pepita Barnard, John Robert Bautista, Arya Farahi, Santanu Kumar Dash, DongGyun Han, Sophie Fortz, Víctor Rodríguez-Fernández
2024 J jnl
Fire and smoke digital twin - A computational framework for modeling fire incident outcomes.
Comput. Environ. Urban Syst.
Ryan Hardesty Lewis, Junfeng Jiao, Kijin Seong, Arya Farahi, Paul A. Navrátil, Nate Casebeer, Dev Niyogi
2024 J jnl
How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds.
CoRR
Tri Nguyen, Francisco Villaescusa-Navarro, Siddharth Mishra-Sharma, Carolina Cuesta-Lázaro, Paul Torrey, Arya Farahi, Alex M. Garcia, Jonah C. Rose, Stephanie O'Neil, Mark Vogelsberger, Xuejian Shen, Cian Roche, Daniel Anglés-Alcázar, Nitya Kallivayalil, Julian B. Muñoz, Francis-Yan Cyr-Racine, Sandip Roy, Lina Necib, Kassidy E. Kollmann
2024 J jnl
Insights from explainable AI in oesophageal cancer team decisions.
Comput. Biol. Medicine
Navamayooran Thavanesan, Arya Farahi, Charlotte Parfitt, Zehor Belkhatir, Tayyaba Azim, Elvira Perez Vallejos, Zoë Walters, Sarvapali D. Ramchurn, Timothy J. Underwood, Ganesh Vigneswaran
2024 A conf
Predicting Acute Pain Levels Implicitly from Vocal Features.
INTERSPEECH
Jennifer Williams, Eike Schneiders, Henry Card, Tina Seabrooke, Beatrice Pakenham-Walsh, Tayyaba Azim, Lucy Valls-Reed, Ganesh Vigneswaran, John Robert Bautista, Rohan Chandra, Arya Farahi
2024 C conf
Responsible MLOps Design Methodology for an Auditing System for AI-Based Clinical Decision Support Systems.
ICTSS
Pepita Barnard, John Robert Bautista, Aidan Dakhama, Arya Farahi, Kazim Laos, Anqi Liu, Héctor D. Menéndez
2024 J jnl
U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making.
CoRR
Ritwik Vashistha, Arya Farahi
2024 A* conf
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making.
AAAI
Ritwik Vashistha, Arya Farahi
2023 J jnl
C 2-GaMe: Classification of cluster galaxy membership with machine learning.
Astron. Comput.
Daniel Farid, Han Aung, Daisuke Nagai, Arya Farahi, Eduardo Rozo
2023 J jnl
Fire and Smoke Digital Twin - A computational framework for modeling fire incident outcomes.
CoRR
Junfeng Jiao, Ryan Hardesty Lewis, Kijin Seong, Arya Farahi, Paul A. Navrátil, Nate Casebeer, Dev Niyogi
2023 — conf
TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients.
TAS
Eike Schneiders, Jennifer Williams, Arya Farahi, Tina Seabrooke, Ganesh Vigneswaran, John Robert Bautista, Liz Dowthwaite, Anna-Maria Piskopani
2021 J jnl
TATTER: A hypothesis testing tool for multi-dimensional data.
Astron. Comput.
Arya Farahi, Yang Chen
2020 J jnl
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data.
CoRR
Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi, Danai Koutra
2020 B conf
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns.
DSAA
Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi, Danai Koutra
2018 A* conf
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan.
KDD
Jacob D. Abernethy, Alex Chojnacki, Arya Farahi, Eric M. Schwartz, Jared Webb
2018 J jnl
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan.
CoRR
Jacob D. Abernethy, Alex Chojnacki, Arya Farahi, Eric M. Schwartz, Jared Webb
2018 — conf
The Michigan Data Science Team: A Data Science Education Program with Significant Social Impact.
DSW
Arya Farahi, Jonathan C. Stroud
2017 A* conf
A Data Science Approach to Understanding Residential Water Contamination in Flint.
KDD
Alex Chojnacki, Chengyu Dai, Arya Farahi, Guangsha Shi, Jared Webb, Daniel T. Zhang, Jacob D. Abernethy, Eric M. Schwartz
2017 J jnl
A Data Science Approach to Understanding Residential Water Contamination in Flint.
CoRR
Alex Chojnacki, Chengyu Dai, Arya Farahi, Guangsha Shi, Jared Webb, Daniel T. Zhang, Jacob D. Abernethy, Eric M. Schwartz
2017 J jnl
Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit.
CoRR
Josh Gardner, Danai Koutra, Jawad Mroueh, Victor Pang, Arya Farahi, Sam Krassenstein, Jared Webb
2016 J jnl
Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing.
CoRR
Jacob D. Abernethy, Cyrus Anderson, Chengyu Dai, Arya Farahi, Linh Nguyen, Adam Rauh, Eric M. Schwartz, Wenbo Shen, Guangsha Shi, Jonathan C. Stroud, Xinyu Tan, Jared Webb, Sheng Yang