Robert Osazuwa Ness

According to our database, Robert Osazuwa Ness authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations.

Katie Matton, Robert Osazuwa Ness, John V. Guttag, Emre Kiciman

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan

Trans. Mach. Learn. Res., 2024

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering.

Robert Osazuwa Ness, Katie Matton, Hayden S. Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz

CoRR, 2024

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

2023

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Christopher M. White, Eric Horvitz

CoRR, 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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

2022

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

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 causal reasoning with latent variable models.

Sara Mohammad Taheri, Robert Osazuwa Ness, Jeremy Zucker, Olga Vitek

CoRR, 2021

2019

Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems.

Robert Osazuwa Ness, Kaushal Paneri, Olga Vitek

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

A Bayesian Active Learning Experimental Design for Inferring Signaling Networks.

Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek

J. Comput. Biol., 2018