Mononito Goswami

42 papers A* 11A 1B 1Misc 2Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting. CoRR Azul Garza, Reneé Rosillo, Rodrigo Mendoza-Smith, David Salinas, Andrew Robert Williams, Arjun Ashok, Mononito Goswami, José Martín Juárez
2025	J	`jnl`	Chronos-2: From Univariate to Universal Forecasting. CoRR Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken, Andreas Auer, Boran Han, Pedro Mercado, Syama Sundar Rangapuram, Huibin Shen, Lorenzo Stella, Xiyuan Zhang, Mononito Goswami, Shubham Kapoor, Danielle C. Maddix, Pablo Guerron, Tony Hu, Junming Yin, Nick Erickson, Prateek Mutalik Desai, Hao Wang, Huzefa Rangwala, George Karypis, Yuyang Wang, Michael Bohlke-Schneider
2025	A*	`conf`	Exploring Representations and Interventions in Time Series Foundation Models. ICML Michal Wilinski, Mononito Goswami, Willa Potosnak, Nina Zukowska, Artur Dubrawski
2025	J	`jnl`	Investigating Compositional Reasoning in Time Series Foundation Models. CoRR Willa Potosnak, Cristian Challu, Mononito Goswami, Kin G. Olivares, Michal Wilinski, Nina Zukowska, Artur Dubrawski
2025	J	`jnl`	STAMP: Spatial-Temporal Adapter with Multi-Head Pooling. CoRR Brad Shook, Abby Turner, Jieshi Chen, Michal Wilinski, Mononito Goswami, Jonathan Elmer, Artur Dubrawski
2025	J	`jnl`	SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization. CoRR Shravan Chaudhari, Rahul Thomas Jacob, Mononito Goswami, Jiajun Cao, Muhammad Shihab Rashid, Christian Bock
2025	J	`jnl`	TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents. CoRR Yifu Cai, Xinyu Li, Mononito Goswami, Michal Wilinski, Gus Welter, Artur Dubrawski
2024	J	`jnl`	Implicit Reasoning in Deep Time Series Forecasting. CoRR Willa Potosnak, Cristian Challu, Mononito Goswami, Michal Wilinski, Nina Zukowska, Artur Dubrawski
2024	A*	`conf`	JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). AAAI Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski
2024	A*	`conf`	MOMENT: A Family of Open Time-series Foundation Models. ICML Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski
2024	J	`jnl`	MOMENT: A Family of Open Time-series Foundation Models. CoRR Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski
2024	A*	`conf`	PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). AAAI Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski
2024	J	`jnl`	TimeSeriesExam: A time series understanding exam. CoRR Yifu Cai, Arjun Choudhry, Mononito Goswami, Artur Dubrawski
2024	J	`jnl`	Towards Long-Context Time Series Foundation Models. CoRR Nina Zukowska, Mononito Goswami, Michal Wilinski, Willa Potosnak, Artur Dubrawski
2024	J	`jnl`	Unveiling and Manipulating Concepts in Time Series Foundation Models. CoRR Michal Wilinski, Mononito Goswami, Nina Zukowska, Willa Potosnak, Artur Dubrawski
2023	A*	`conf`	AQuA: A Benchmarking Tool for Label Quality Assessment. NeurIPS Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski
2023	J	`jnl`	AQuA: A Benchmarking Tool for Label Quality Assessment. CoRR Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski
2023	A*	`conf`	Unsupervised Model Selection for Time Series Anomaly Detection. ICLR Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan
2022	—	`conf`	Classifying Unstructured Clinical Notes via Automatic Weak Supervision. MLHC Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
2022	J	`jnl`	Classifying Unstructured Clinical Notes via Automatic Weak Supervision. CoRR Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
2022	A*	`conf`	Counterfactual Phenotyping with Censored Time-to-Events. KDD Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
2022	J	`jnl`	Counterfactual Phenotyping with Censored Time-to-Events. CoRR Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
2022	J	`jnl`	Unsupervised Model Selection for Time-series Anomaly Detection. CoRR Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan
2022	J	`jnl`	Weak Supervision for Affordable Modeling of Electrocardiogram Data. CoRR Mononito Goswami, Benedikt Boecking, Artur Dubrawski
2022	Misc	`conf`	Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. AMIA Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski
2022	J	`jnl`	Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. CoRR Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski
2021	J	`jnl`	Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection. CoRR Saswati Ray, Sana Lakdawala, Mononito Goswami, Chufan Gao
2021	J	`jnl`	The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming. CoRR Chufan Gao, Mononito Goswami
2021	Misc	`conf`	Weak Supervision for Affordable Modeling of Electrocardiogram Data. AMIA Mononito Goswami, Benedikt Boecking, Artur Dubrawski
2020	J	`jnl`	A Binary PSO Approach for Improving the Performance of Wireless Sensor Networks. Wirel. Pers. Commun. Ajay Kaushik, Mononito Goswami, Minkush Manuja, S. Indu, Daya Gupta
2020	A*	`conf`	A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract). AAAI Minni Jain, Maitree Leekha, Mononito Goswami
2020	—	`conf`	A Multi-task Approach to Open Domain Suggestion Mining Using Language Model for Text Over-Sampling. ECIR (2) Maitree Leekha, Mononito Goswami, Minni Jain
2020	J	`jnl`	Detecting intrusive transactions in databases using partially-ordered sequential rule mining and fractional-distance based anomaly detection. Int. J. Intell. Eng. Informatics Indu Singh, Minkush Manuja, Rishabh Mathur, Mononito Goswami
2020	A*	`conf`	Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. AAAI Mononito Goswami, Lujie Chen, Artur Dubrawski
2020	A*	`conf`	Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). AAAI Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski
2020	B	`conf`	Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study. L@S Andrew A. McReynolds, Sheba P. Naderzad, Mononito Goswami, Jack Mostow
2020	J	`jnl`	Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children. CoRR Mononito Goswami, Minkush Manuja, Maitree Leekha
2020	A	`conf`	What Makes a Better Companion? Towards Social & Engaging Peer Learning. ECAI Rajni Jindal, Maitree Leekha, Minkush Manuja, Mononito Goswami
2019	—	`conf`	Are You Paying Attention? Detecting Distracted Driving in Real-Time. BigMM Maitree Leekha, Mononito Goswami, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann
2019	J	`jnl`	Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. CoRR Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski
2019	A*	`conf`	What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System. AAAI Mononito Goswami, Shiven Mian, Jack Mostow
2019	—	`conf`	What's Most Broken? Design and Evaluation of a Tool to Guide Improvement of an Intelligent Tutor. AIED (1) Shiven Mian, Mononito Goswami, Jack Mostow