A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. - Robert Osazuwa Ness; Karen Sachs; Parag Mallick; Olga Vitek (RECOMB, 2017)

Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems. - Robert Osazuwa Ness; Kaushal Paneri; Olga Vitek (NeurIPS, 2019)

Do-calculus enables causal reasoning with latent variable models. - Sara Mohammad Taheri; Robert Osazuwa Ness; Jeremy Zucker; Olga Vitek (CoRR, 2021)

Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis. - Jeremy Zucker; Kaushal Paneri; Sara Mohammad Taheri; Somya Bhargava; Pallavi Kolambkar; Craig Bakker; Jeremy Teuton; Charles Tapley Hoyt; Kristie L. Oxford; Robert Osazuwa Ness; Olga Vitek (IEEE Trans. Big Data, 2021)

Do-calculus enables estimation of causal effects in partially observed biomolecular pathways. - Sara Mohammad Taheri; Jeremy Zucker; Charles Tapley Hoyt; Karen Sachs; Vartika Tewari; Robert Osazuwa Ness; Olga Vitek (Bioinform., 2022)

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. - Thuc Duy Le; Jiuyong Li; Robert Osazuwa Ness; Sofia Triantafillou; Shohei Shimizu; Peng Cui 001; Kun Kuang; Jian Pei 001; Fei Wang 001; Mattia Prosperi (CDPD, 2023)

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. - Ida Momennejad; Hosein Hasanbeig; Felipe Vieira Frujeri; Hiteshi Sharma; Nebojsa Jojic; Hamid Palangi; Robert Osazuwa Ness; Jonathan Larson (NeurIPS, 2023)

Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science. - Somya Sharma; Swati Sharma; Licheng Liu; Rishabh Tushir; Andy Neal; Robert Osazuwa Ness; John Crawford; Emre Kiciman; Ranveer Chandra (CoRR, 2023)

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. - Harsha Nori; Yin Tat Lee; Sheng Zhang 012; Dean Carignan; Richard Edgar; Nicolò Fusi; Nicholas King; Jonathan Larson; Yuanzhi Li; Weishung Liu; Renqian Luo; Scott Mayer McKinney; et al. (CoRR, 2023)

Physics-Based Causal Reasoning for Safe & Robust Next-Best Action Selection in Robot Manipulation Tasks. - Ricardo Cannizzaro; Michael Groom; Jonathan Routley; Robert Osazuwa Ness; Lars Kunze (CoRR, 2024)

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. - Robert Osazuwa Ness; Katie Matton; Hayden S. Helm; Sheng Zhang 012; Junaid Bajwa; Carey E. Priebe; Eric Horvitz (CoRR, 2024)

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. - Emre Kiciman; Robert Osazuwa Ness; Amit Sharma 007; Chenhao Tan (Trans. Mach. Learn. Res., 2024)

COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty. - Ricardo Cannizzaro; Michael Groom; Jonathan Routley; Robert Osazuwa Ness; Lars Kunze (ECMR, 2025)

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations. - Katie Matton; Robert Osazuwa Ness; John V. Guttag; Emre Kiciman (ICLR, 2025)

Generative Propaganda. - Madeleine I. G. Daepp; Alejandro Cuevas; Robert Osazuwa Ness; Vickie Yu-Ping Wang; Bharat Kumar Nayak; Dibyendu Mishra; Ti-Chung Cheng; Shaily Desai; Joyojeet Pal (CoRR, 2025)