| 2025 | ICML | Exploring Representations and Interventions in Time Series Foundation Models. | Michal Wilinski, Mononito Goswami, Willa Potosnak, Nina Zukowska, Artur Dubrawski |
| 2024 | AAAI | JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). | Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski |
| 2024 | AAAI | PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). | Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski |
| 2024 | ICML | MOMENT: A Family of Open Time-series Foundation Models. | Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski |
| 2023 | ICLR | Unsupervised Model Selection for Time Series Anomaly Detection. | Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan |
| 2022 | AMIA | Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. | Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski |
| 2022 | KDD | Counterfactual Phenotyping with Censored Time-to-Events. | Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski |
| 2021 | AMIA | Weak Supervision for Affordable Modeling of Electrocardiogram Data. | Mononito Goswami, Benedikt Boecking, Artur Dubrawski |
| 2020 | AAAI | Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. | Mononito Goswami, Lujie Chen, Artur Dubrawski |
| 2020 | AAAI | Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). | Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski |
| 2020 | AAAI | A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract). | Minni Jain, Maitree Leekha, Mononito Goswami |
| 2020 | ECAI | What Makes a Better Companion? Towards Social & Engaging Peer Learning. | Rajni Jindal, Maitree Leekha, Minkush Manuja, Mononito Goswami |
| 2020 | ECIR | A Multi-task Approach to Open Domain Suggestion Mining Using Language Model for Text Over-Sampling. | Maitree Leekha, Mononito Goswami, Minni Jain |
| 2019 | AAAI | What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System. | Mononito Goswami, Shiven Mian, Jack Mostow |
| 2019 | AIED | What's Most Broken? Design and Evaluation of a Tool to Guide Improvement of an Intelligent Tutor. | Shiven Mian, Mononito Goswami, Jack Mostow |