| 2025 | FUSION | End-to-End Differentiable Multi-View Tracking: Architecture and Fine-Tuning Experiments. | Colin Samplawski, Shiwei Fang, Benjamin M. Marlin |
| 2025 | BSN | SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions. | Asim H. Gazi, Bhanu Teja Gullapalli, Daiqi Gao, Benjamin M. Marlin, Vivek Shetty, Susan A. Murphy |
| 2024 | ICLR | REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning. | Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James Matthew Rehg |
| 2024 | IROS | FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors. | Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani Srivastava |
| 2023 | UAI | Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions. | Karine Karine, Predrag V. Klasnja, Susan A. Murphy, Benjamin M. Marlin |
| 2023 | UAI | Heteroskedastic Geospatial Tracking with Distributed Camera Networks. | Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin |
| 2022 | CHASE | BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data. | Karine Tung, Steven De La Torre, Mohamed El Mistiri, Rebecca Braga De Braganca, Eric B. Hekler, Misha Pavel, Daniel E. Rivera, Pedja Klasnja, Donna Spruijt-Metz, Benjamin M. Marlin |
| 2022 | ECCV | Uncertainty Quantification Using Query-Based Object Detectors. | Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin |
| 2022 | ICLR | Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series. | Satya Narayan Shukla, Benjamin M. Marlin |
| 2022 | SENSYS | Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform. | Shiwei Fang, Ankur Sarker, Ziqi Wang, Mani B. Srivastava, Benjamin M. Marlin, Deepak Ganesan |
| 2021 | ICLR | Multi-Time Attention Networks for Irregularly Sampled Time Series. | Satya Narayan Shukla, Benjamin M. Marlin |
| 2021 | UAI | Post-hoc loss-calibration for Bayesian neural networks. | Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin |
| 2020 | CVPR | Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. | Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin |
| 2020 | ICML | Learning from Irregularly-Sampled Time Series: A Missing Data Perspective. | Steven Cheng-Xian Li, Benjamin M. Marlin |
| 2020 | MOBICOM | CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud. | Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Heesung Kwon |
| 2020 | UAI | Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. | Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin |
| 2020 | SENSYS | Towards Objection Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression. | Colin Samplawski, Jin Huang, Deepak Ganesan, Benjamin M. Marlin |
| 2019 | CHASE | Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection. | Benjamin M. Marlin, Meet P. Vadera |
| 2019 | ETRA | iLid: eyewear solution for low-power fatigue and drowsiness monitoring. | Soha Rostaminia, Addison Mayberry, Deepak Ganesan, Benjamin M. Marlin, Jeremy Gummeson |
| 2019 | BSN | Hierarchical Active Learning for Model Personalization in the Presence of Label Scarcity. | Annamalai Natarajan, Deepak Ganesan, Benjamin M. Marlin |
| 2019 | ICLR | MisGAN: Learning from Incomplete Data with Generative Adversarial Networks. | Steven Cheng-Xian Li, Bo Jiang, Benjamin M. Marlin |
| 2019 | ICLR | Interpolation-Prediction Networks for Irregularly Sampled Time Series. | Satya Narayan Shukla, Benjamin M. Marlin |
| 2018 | ICDCS | Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT. | Tarek F. Abdelzaher, Nora Ayanian, Tamer Basar, Suhas N. Diggavi, Jana Diesner, Deepak Ganesan, Ramesh Govindan, Susmit Jha, Tancrde Lepoint, Benjamin M. Marlin, Klara Nahrstedt, David M. Nicol, Raj Rajkumar, Stephen Russell, Sanjit A. Seshia, Fei Sha, Prashant J. Shenoy, Mani B. Srivastava, Gaurav S. Sukhatme, Ananthram Swami, Paulo Tabuada, Don Towsley, Nitin H. Vaidya, Venugopal V. Veeravalli |
| 2018 | UAI | Learning Time Series Segmentation Models from Temporally Imprecise Labels. | Roy Adams, Benjamin M. Marlin |
| 2017 | AISTATS | Learning Time Series Detection Models from Temporally Imprecise Labels. | Roy J. Adams, Benjamin M. Marlin |
| 2017 | KDD | Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices. | Hamid Dadkhahi, Benjamin M. Marlin |
| 2016 | ETRA | CIDER: enhancing the performance of computational eyeglasses. | Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Benjamin M. Marlin, Christopher D. Salthouse, Deepak Ganesan |
| 2016 | ICML | Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams. | Roy J. Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin M. Marlin |
| 2016 | PLDI | Assessing the limits of program-specific garbage collection performance. | Nicholas Jacek, Meng-Chieh Chiu, Benjamin M. Marlin, Eliot Moss |
| 2015 | MOBICOM | CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass. | Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Deepak Ganesan, Benjamin M. Marlin, Christopher D. Salthouse |
| 2015 | UAI | Classification of Sparse and Irregularly Sampled Time Series with Mixtures of Expected Gaussian Kernels and Random Features. | Steven Cheng-Xian Li, Benjamin M. Marlin |
| 2015 | SENSYS | iProgram: Inferring Smart Schedules for Dumb Thermostats. | Srinivasan Iyengar, Sandeep Kalra, Anushree Ghosh, David Irwin, Prashant J. Shenoy, Benjamin M. Marlin |
| 2014 | CVPR | The Shape-Time Random Field for Semantic Video Labeling. | Andrew Kae, Benjamin M. Marlin, Erik G. Learned-Miller |
| 2014 | ETRA | iShadow: the computational eyeglass system. | Addison Mayberry, Pan Hu, Benjamin M. Marlin, Christopher D. Salthouse, Deepak Ganesan |
| 2014 | Mobisys | iShadow: design of a wearable, real-time mobile gaze tracker. | Addison Mayberry, Pan Hu, Benjamin M. Marlin, Christopher D. Salthouse, Deepak Ganesan |
| 2014 | RecSys | PERSPeCT: collaborative filtering for tailored health communications. | Roy J. Adams, Rajani S. Sadasivam, Kavitha Balakrishnan, Rebecca L. Kinney, Thomas K. Houston, Benjamin M. Marlin |
| 2013 | AMIA | Towards Collaborative Filtering Recommender Systems for Tailored Health Communications. | Benjamin M. Marlin, Roy J. Adams, Rajani S. Sadasivam, Thomas K. Houston |
| 2013 | AMIA | Detecting Signatures of Cocaine Using On-Body Sensors. | Annamalai Natarajan, Abhinav Parate, Edward Gaiser, Gustavo Angarita, Robert Malison, Benjamin M. Marlin, Deepak Ganesan |
| 2013 | Mobisys | Leveraging graphical models to improve accuracy and reduce privacy risks of mobile sensing. | Abhinav Parate, Meng-Chieh Chiu, Deepak Ganesan, Benjamin M. Marlin |
| 2013 | NAACL | Relation Extraction with Matrix Factorization and Universal Schemas. | Sebastian Riedel, Limin Yao, Andrew McCallum, Benjamin M. Marlin |
| 2011 | ICML | Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models. | Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy |
| 2011 | ICML | On Autoencoders and Score Matching for Energy Based Models. | Kevin Swersky, Marc'Aurelio Ranzato, David Buchman, Benjamin M. Marlin, Nando de Freitas |
| 2011 | IJCAI | Recommender Systems, Missing Data and Statistical Model Estimation. | Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney |
| 2011 | UAI | Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood. | Benjamin M. Marlin, Nando de Freitas |
| 2010 | ITA | A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets. | Kevin Swersky, Bo Chen, Benjamin M. Marlin, Nando de Freitas |
| 2009 | ICML | Sparse Gaussian graphical models with unknown block structure. | Benjamin M. Marlin, Kevin P. Murphy |
| 2009 | RecSys | Collaborative prediction and ranking with non-random missing data. | Benjamin M. Marlin, Richard S. Zemel |
| 2009 | UAI | Group Sparse Priors for Covariance Estimation. | Benjamin M. Marlin, Mark Schmidt, Kevin P. Murphy |
| 2007 | UAI | Collaborative Filtering and the Missing at Random Assumption. | Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney |
| 2005 | AISTATS | Unsupervised Learning with Non-Ignorable Missing Data. | Benjamin M. Marlin, Sam T. Roweis, Richard S. Zemel |
| 2004 | ICML | The multiple multiplicative factor model for collaborative filtering. | Benjamin M. Marlin, Richard S. Zemel |
| 2003 | UAI | Active Collaborative Filtering. | Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin |