On Adversarial Search Spaces and Sampling-Based Planning. - Raghuram Ramanujan; Ashish Sabharwal; Bart Selman (ICAPS, 2010)

Understanding Sampling Style Adversarial Search Methods. - Raghuram Ramanujan; Ashish Sabharwal; Bart Selman (UAI, 2010)

Monte-Carlo Style UCT Search for Boolean Satisfiability. - Alessandro Previti; Raghuram Ramanujan; Marco Schaerf; Bart Selman (AI*IA, 2011)

Trade-Offs in Sampling-Based Adversarial Planning. - Raghuram Ramanujan; Bart Selman (ICAPS, 2011)

Applying UCT to Boolean Satisfiability. - Alessandro Previti; Raghuram Ramanujan; Marco Schaerf; Bart Selman (SAT, 2011)

Understanding Sampling-based Adversarial Search Methods. - Raghuram Ramanujan (2012)

Computational Creativity in the Culinary Arts. - Erol Cromwell; Jonah Galeota-Sprung; Raghuram Ramanujan (FLAIRS, 2015)

A.I. as an Introduction to Research Methods in Computer Science. - Raghuram Ramanujan (AAAI, 2016)

Monte-Carlo Tree Search for the Maximum Satisfiability Problem. - Jack Goffinet; Raghuram Ramanujan (CP, 2016)

Machine Learning Methods for Track Classification in the AT-TPC. - Michelle P. Kuchera; Raghuram Ramanujan; Jack Z. Taylor; Ryan R. Strauss; Daniel Bazin; Joshua Bradt; Ruiming Chen (CoRR, 2018)

G2SAT: Learning to Generate SAT Formulas. - Jiaxuan You; Haoze Wu 001; Clark W. Barrett; Raghuram Ramanujan; Jure Leskovec (NeurIPS, 2019)

Learning to Generate Industrial SAT Instances. - Haoze Wu 001; Raghuram Ramanujan (SOCS, 2019)

A Steering Algorithm for Redirected Walking Using Reinforcement Learning. - Ryan R. Strauss; Raghuram Ramanujan; Andrew Becker; Tabitha C. Peck (IEEE Trans. Vis. Comput. Graph., 2020)

Implicit Quantile Neural Networks for Jet Simulation and Correction. - Braden Kronheim; Michelle P. Kuchera; Harrison B. Prosper; Raghuram Ramanujan (CoRR, 2021)

Lightweight Online Learning for Sets of Related Problems in Automated Reasoning. - Haoze Wu 001; Christopher Hahn; Florian Lonsing; Makai Mann; Raghuram Ramanujan; Clark W. Barrett (FMCAD, 2023)

Lookahead Pathology in Monte-Carlo Tree Search. - Khoi P. N. Nguyen; Raghuram Ramanujan (ICAPS, 2024)

A Machine Learning Approach to Expanding the Degrees of Freedom on Phone-Based Head Mounted Displays. - Andrew J. Jones; Raghuram Ramanujan; Tabitha C. Peck (VR Workshops, 2025)

Unpaired Translation of Point Clouds for Modeling Detector Response. - Mingyang Li; Michelle P. Kuchera; Raghuram Ramanujan; Adam Anthony; Curtis Hunt; Yassid Ayyad (CoRR, 2025)