SMiLe: Automated End-to-end Sensing and Machine Learning Co-Design. - Tanmay Goyal; Pengcheng Huang 001; Felix Sutton; Balz Maag; Philipp Sommer (EWSN, 2022)

Poster: Empirical Evaluation of AutoML Algorithms for Motor Health Prediction. - Tanmay Goyal; Pengcheng Huang 001; Felix Sutton; Balz Maag; Philipp Sommer (EWSN, 2022)

Unveiling Two-Fold Gamification: Exploring the Agency Of DeliveryWorkers in Urban India. - Tanmay Goyal; Nimmi Rangaswamy (COMPASS, 2024)

Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback. - Tanmay Goyal; Gaurav Sinha (UAI, 2025)

Machine Learning with Physics Knowledge for Prediction: A Survey. - Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An Thai Le 001; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; et al. (Trans. Mach. Learn. Res., 2025)

Achieving Limited Adaptivity for Multinomial Logistic Bandits. - Sukruta Prakash Midigeshi; Tanmay Goyal; Gaurav Sinha 001 (CoRR, 2025)