| 2026 | FDG | Finite Automata Extraction: Low-data World Model Learning as Programs from Gameplay Video. | Dave Goel, Matthew Guzdial, Anurag Sarkar |
| 2021 | FDG | Applying Rapid Crowdsourced Playtesting to a Human Computation Game. | Pratheep Kumar Paranthaman, Anurag Sarkar, Seth Cooper |
| 2021 | FDG | Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder. | Anurag Sarkar, Seth Cooper |
| 2021 | IECON | Comparative Analysis of Classical and Predictive Control of Bidirectional Quasi Z-Source Converter. | Mohammed Tuhin Rana, Anurag Sarkar, Md. Abid, Subrata Banerjee, Kundan Kumar |
| 2020 | FDG | Sequential Segment-based Level Generation and Blending using Variational Autoencoders. | Anurag Sarkar, Seth Cooper |
| 2020 | FDG | Multi-Domain Level Generation and Blending with Sketches via Example-Driven BSP and Variational Autoencoders. | Sam Snodgrass, Anurag Sarkar |
| 2019 | CHI | Transforming Game Difficulty Curves using Function Composition. | Anurag Sarkar, Seth Cooper |
| 2019 | FDG | Using rating arrays to estimate score distributions for player-versus-level matchmaking. | Anurag Sarkar, Seth Cooper |
| 2018 | FDG | Meet your match rating: providing skill information and choice in player-versus-level matchmaking. | Anurag Sarkar, Seth Cooper |
| 2018 | FDG | Comparing paid and volunteer recruitment in human computation games. | Anurag Sarkar, Seth Cooper |
| 2017 | FDG | Engagement effects of player rating system-based matchmaking for level ordering in human computation games. | Anurag Sarkar, Michael Williams, Sebastian Deterding, Seth Cooper |