A fully adaptive reaction-diffusion integration scheme with applications to systems biology. - David J. Miller; Avijit Ghosh (J. Comput. Phys., 2007)

Classification of Cellular Automata Rules Based on Their Properties - Pabitra Pal Choudhury; Sudhakar Sahoo; Sarif Sk. Hassan; Satrajit Basu; Dibyendu Ghosh; Debarun Kar; Abhishek Ghosh; Avijit Ghosh; Amal K. Ghosh (CoRR, 2009)

WebSelect: A Research Prototype for Optimizing Ad Exposures based on Network Structure. - Avijit Ghosh; Agam Gupta; Divya Sharma 001; Uttam Kumar Sarkar (CoRR, 2017)

SAVITR: A System for Real-time Location Extraction from Microblogs during Emergencies. - Ritam Dutt; Kaustubh Hiware; Avijit Ghosh; Rameshwar Bhaskaran (WWW (Companion Volume), 2018)

Public Sphere 2.0: Targeted Commenting in Online News Media. - Ankan Mullick; Sayan Ghosh 002; Ritam Dutt; Avijit Ghosh; Abhijnan Chakraborty (ECIR (2), 2019)

Algorithms that "Don't See Color": Comparing Biases in Lookalike and Special Ad Audiences. - Piotr Sapiezynski; Avijit Ghosh; Levi Kaplan; Alan Mislove; Aaron Rieke (CoRR, 2019)

Characterizing Intersectional Group Fairness with Worst-Case Comparisons. - Avijit Ghosh; Lea Genuit; Mary Reagan (AIDBEI, 2021)

Building and Auditing Fair Algorithms: A Case Study in Candidate Screening. - Christo Wilson; Avijit Ghosh; Shan Jiang 008; Alan Mislove; Lewis J. Baker; Janelle Szary; Kelly Trindel; Frida Polli (FAccT, 2021)

When Fair Ranking Meets Uncertain Inference. - Avijit Ghosh; Ritam Dutt; Christo Wilson (SIGIR, 2021)

Unified Shapley Framework to Explain Prediction Drift. - Aalok Shanbhag; Avijit Ghosh; Josh Rubin (CoRR, 2021)

FairCanary: Rapid Continuous Explainable Fairness. - Avijit Ghosh; Aalok Shanbhag (CoRR, 2021)

FairCanary: Rapid Continuous Explainable Fairness. - Avijit Ghosh; Aalok Shanbhag; Christo Wilson (AIES, 2022)

Algorithms that "Don't See Color": Measuring Biases in Lookalike and Special Ad Audiences. - Piotr Sapiezynski; Avijit Ghosh; Levi Kaplan; Aaron Rieke; Alan Mislove (AIES, 2022)

Subverting Fair Image Search with Generative Adversarial Perturbations. - Avijit Ghosh; Matthew Jagielski; Christo Wilson (FAccT, 2022)

Can There be Art Without an Artist? - Avijit Ghosh; Genoveva Fossas (CoRR, 2022)

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. - Nathan Dennler; Anaelia Ovalle; Ashwin Singh; Luca Soldaini; Arjun Subramonian; Huy Tu; William Agnew; Avijit Ghosh; Kyra Yee; Irene Font Peradejordi; Zeerak Talat; Mayra Russo; et al. (AIES, 2023)

When Fair Classification Meets Noisy Protected Attributes. - Avijit Ghosh; Pablo Kvitca; Christo Wilson (AIES, 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Organizers Of QueerInAI; Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; et al. (FAccT, 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; Jaidev Shriram; et al. (CoRR, 2023)

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. - Organizers Of QueerInAI; Nathaniel Dennler; Anaelia Ovalle; Ashwin Singh; Luca Soldaini; Arjun Subramonian; Huy Tu; William Agnew; Avijit Ghosh; Kyra Yee; Irene Font Peradejordi; Zeerak Talat; et al. (CoRR, 2023)

Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI. - Avijit Ghosh; Dhanya Lakshmi (CoRR, 2023)

Report on the SIGIR 2023 Session on Diversity, Equity and Inclusivity. - Suzan Verberne; Hussein Suleman; Luca Soldaini; Avijit Ghosh (SIGIR Forum, 2023)

Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities. - Sven Cattell; Avijit Ghosh; Lucie-Aimée Kaffee (AIES (1), 2024)

Perceptions in Pixels: Analyzing Perceived Gender and Skin Tone in Real-world Image Search Results. - Jeffrey L. Gleason; Avijit Ghosh; Ronald E. Robertson; Christo Wilson (WWW, 2024)

Coordinated Disclosure for AI: Beyond Security Vulnerabilities. - Sven Cattell; Avijit Ghosh (CoRR, 2024)

Quantifying Misalignment Between Agents. - Aidan Kierans; Avijit Ghosh; Hananel Hazan; Shiri Dori-Hacohen (CoRR, 2024)

Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study. - Avijit Ghosh; Tomo Lazovich; Kristian Lum; Christo Wilson (CoRR, 2024)

Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment. - Aidan Kierans; Avijit Ghosh; Hananel Hazan; Shiri Dori-Hacohen (AAAI, 2025)

To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices. - Sean McGregor; Allyson Ettinger; Nick Judd; Paul Albee; Liwei Jiang; Kavel Rao; William H. Smith; Shayne Longpre; Avijit Ghosh; Christopher Fiorelli; Michelle Hoang; Sven Cattell; et al. (AAAI, 2025)

"It's not a representation of me": Examining Accent Bias and Digital Exclusion in Synthetic AI Voice Services. - Shira Michel; Sufi Kaur; Sarah Elizabeth Gillespie; Jeffrey L. Gleason; Christo Wilson; Avijit Ghosh (FAccT, 2025)

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. - Margaret Mitchell; Giuseppe Attanasio; Ioana Baldini; Miruna Clinciu; Jordan Clive; Pieter Delobelle; Manan Dey; Sil Hamilton; Timm Dill; Jad Doughman; Ritam Dutt; Avijit Ghosh; et al. (NAACL (Long Papers), 2025)

Fully Autonomous AI Agents Should Not be Developed. - Margaret Mitchell; Avijit Ghosh; Alexandra Sasha Luccioni; Giada Pistilli (CoRR, 2025)

Stop treating 'AGI' as the north-star goal of AI research. - Borhane Blili-Hamelin; Christopher Graziul; Leif Hancox-Li; Hananel Hazan; El-Mahdi El-Mhamdi; Avijit Ghosh; Katherine A. Heller; Jacob Metcalf; Fabricio Murai; Eryk Salvaggio; Andrew Smart; Todd Snider; et al. (CoRR, 2025)

Protecting Human Cognition in the Age of AI. - Anjali Singh; Karan Taneja; Zhitong Guan; Avijit Ghosh (CoRR, 2025)

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI. - Shayne Longpre; Kevin Klyman; Ruth E. Appel; Sayash Kapoor; Rishi Bommasani; Michelle Sahar; Sean McGregor; Avijit Ghosh; Borhane Blili-Hamelin; Nathan Butters; Alondra Nelson; Amit Elazari; et al. (CoRR, 2025)

Catastrophic Liability: Managing Systemic Risks in Frontier AI Development. - Aidan Kierans; Kaley Rittichier; Utku Sonsayar; Avijit Ghosh (CoRR, 2025)

A Scaling Law for Token Efficiency in LLM Fine-Tuning Under Fixed Compute Budgets. - Ryan Lagasse; Aidan Kierans; Avijit Ghosh; Shiri Dori-Hacohen (CoRR, 2025)