Benjamin M. Marlin

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 75

Top Venues

Publications

Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James Matthew Rehg
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning. ICLR (2024)
Hui Wei, Maxwell A. Xu, Colin Samplawski, James M. Rehg, Santosh Kumar, Benjamin M. Marlin
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation. CoRR (2024)
Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani B. Srivastava
FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors. CoRR (2024)
Ho Lyun Jeong, Ziqi Wang, Colin Samplawski, Jason Wu, Shiwei Fang, Lance M. Kaplan, Deepak Ganesan, Benjamin M. Marlin, Mani B. Srivastava
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors. CoRR (2024)
Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James M. Rehg
Retrieval-Based Reconstruction For Time-series Contrastive Learning. CoRR (2023)
Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin
Heteroskedastic Geospatial Tracking with Distributed Camera Networks. CoRR (2023)
Karine Karine, Predrag V. Klasnja, Susan A. Murphy, Benjamin M. Marlin
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions. CoRR (2023)
Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin
Heteroskedastic Geospatial Tracking with Distributed Camera Networks. UAI (2023)
Benjamin M. Marlin, Niranjan Suri, Shiwei Fang, Mani B. Srivastiva, Colin Samplawski, Ziqi Wang, Maggie B. Wigness
IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research. MILCOM (2023)
Karine Karine, Predrag V. Klasnja, Susan A. Murphy, Benjamin M. Marlin
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions. UAI (2023)
Satya Narayan Shukla, Benjamin M. Marlin
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series. ICLR (2022)
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
BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data. CoRR (2022)
Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin
Uncertainty Quantification Using Query-Based Object Detectors. ECCV Workshops (8) (2022)
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning. CoRR (2022)
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
BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data. CHASE (2022)
Shiwei Fang, Ankur Sarker, Ziqi Wang, Mani B. Srivastava, Benjamin M. Marlin, Deepak Ganesan
Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform. SenSys (2022)
Meet P. Vadera, Jinyang Li, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods. MLSys (2022)
Colin Samplawski, Benjamin M. Marlin
Towards Transformer-Based Real-Time Object Detection at the Edge: A Benchmarking Study. MILCOM (2021)
Meet P. Vadera, Benjamin M. Marlin
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems. CogMI (2021)
Satya Narayan Shukla, Benjamin M. Marlin
Multi-Time Attention Networks for Irregularly Sampled Time Series. CoRR (2021)
Shiwei Fang, Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Tarek F. Abdelzaher, Maggie B. Wigness
Optimizing Intelligent Edge-clouds with Partitioning, Compression and Speculative Inference. MILCOM (2021)
Satya Narayan Shukla, Benjamin M. Marlin
Multi-Time Attention Networks for Irregularly Sampled Time Series. ICLR (2021)
Satya Narayan Shukla, Benjamin M. Marlin
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series. CoRR (2021)
Meet P. Vadera, Benjamin M. Marlin
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems. CoRR (2021)
Jinyang Li, Runyu Ma, Vikram Sharma Mailthody, Colin Samplawski, Benjamin M. Marlin, Songqing Chen, Shuochao Yao, Tarek F. Abdelzaher
Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs. MILCOM (2021)
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
Post-hoc loss-calibration for Bayesian neural networks. UAI (2021)
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
Post-hoc loss-calibration for Bayesian neural networks. CoRR (2021)
Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification. CoRR (2020)
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. UAI (2020)
Satya Narayan Shukla, Benjamin M. Marlin
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance. CoRR (2020)
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. CoRR (2020)
Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Heesung Kwon
CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud. MobiCom (2020)
Omer T. Inan, P. Tenaerts, S. A. Prindiville, H. R. Reynolds, D. S. Dizon, K. Cooper-Arnold, M. Turakhia, M. J. Pletcher, K. L. Preston, Harlan M. Krumholz, Benjamin M. Marlin, Kenneth D. Mandl, P. Klasnja, B. Spring, E. Iturriaga, R. Campo, P. Desvigne-Nickens, Y. Rosenberg, Steven R. Steinhubl, R. M. Califf
Digitizing clinical trials. npj Digit. Medicine 3 (2020)
Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin
Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. CVPR Workshops (2020)
Benjamin M. Marlin, Tarek F. Abdelzaher, Gabriela F. Ciocarlie, Adam D. Cobb, Mark Dennison, Brian Jalaian, Lance M. Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K. Sharma, Mani B. Srivastava, Theron Trout, Meet P. Vadera, Maggie B. Wigness
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. CogMI (2020)
Colin Samplawski, Jin Huang, Deepak Ganesan, Benjamin M. Marlin
Towards Objection Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression. AIChallengeIoT@SenSys (2020)
Steven Cheng-Xian Li, Benjamin M. Marlin
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective. ICML (2020)
Steven Cheng-Xian Li, Benjamin M. Marlin
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective. CoRR (2020)
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks. CoRR (2020)
Satya Narayan Shukla, Benjamin M. Marlin
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction. CoRR (2020)
Nicholas Jacek, Meng-Chieh Chiu, Benjamin M. Marlin, J. Eliot B. Moss
Optimal Choice of When to Garbage Collect. ACM Trans. Program. Lang. Syst. 41 (1) (2019)
Satya Narayan Shukla, Benjamin M. Marlin
Interpolation-Prediction Networks for Irregularly Sampled Time Series. ICLR (Poster) (2019)
Steven Cheng-Xian Li, Bo Jiang, Benjamin M. Marlin
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks. CoRR (2019)
Srinivasan Iyengar, Sandeep Kalra, Anushree Ghosh, David E. Irwin, Prashant J. Shenoy, Benjamin M. Marlin
Inferring Smart Schedules for Dumb Thermostats. ACM Trans. Cyber Phys. Syst. 3 (2) (2019)
Benjamin M. Marlin, Meet P. Vadera
Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection. CHASE (2019)
Steven Cheng-Xian Li, Bo Jiang, Benjamin M. Marlin
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks. ICLR (Poster) (2019)
Annamalai Natarajan, Deepak Ganesan, Benjamin M. Marlin
Hierarchical Active Learning for Model Personalization in the Presence of Label Scarcity. BSN (2019)
Colin Samplawski, Heesung Kwon, Erik G. Learned-Miller, Benjamin M. Marlin
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. CoRR (2019)
Soha Rostaminia, Addison Mayberry, Deepak Ganesan, Benjamin M. Marlin, Jeremy Gummeson
iLid: eyewear solution for low-power fatigue and drowsiness monitoring. ETRA (2019)
Meet P. Vadera, Benjamin M. Marlin
Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty. CoRR (2019)
Satya Narayan Shukla, Benjamin M. Marlin
Interpolation-Prediction Networks for Irregularly Sampled Time Series. CoRR (2019)
Tarek F. Abdelzaher, Nora Ayanian, Tamer Basar, Suhas N. Diggavi, Jana Diesner, Deepak Ganesan, Ramesh Govindan, Susmit Jha, Tancrède 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
Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT. ICDCS (2018)
Satya Narayan Shukla, Benjamin M. Marlin
Modeling Irregularly Sampled Clinical Time Series. CoRR (2018)
Roy Adams, Benjamin M. Marlin
Learning Time Series Segmentation Models from Temporally Imprecise Labels. UAI (2018)
Tarek F. Abdelzaher, Nora Ayanian, Tamer Basar, Suhas N. Diggavi, Jana Diesner, Deepak Ganesan, Ramesh Govindan, Susmit Jha, Tancrède 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
Toward an Internet of Battlefield Things: A Resilience Perspective. Computer 51 (11) (2018)
Ahmed Ali-Eldin, Deepak Ganesan, Heesung Kwon, Benjamin M. Marlin, Prashant J. Shenoy, Mani B. Srivastava, Don Towsley
Executing Analytics and Fusion Workloads on Transient Computing Resources in Tactical Environments. MILCOM (2018)
Hamid Dadkhahi, Benjamin M. Marlin
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices. KDD (2017)
Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series. IEEE Trans. Image Process. 26 (11) (2017)
Roy J. Adams, Benjamin M. Marlin
Learning Time Series Detection Models from Temporally Imprecise Labels. AISTATS (2017)
Soha Rostaminia, Addison Mayberry, Deepak Ganesan, Benjamin M. Marlin, Jeremy Gummeson
iLid: Low-power Sensing of Fatigue and Drowsiness Measures on a Computational Eyeglass. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (2) (2017)
Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, Duen Horng Chau, Emre Ertin, Deborah Estrin, Deepak Ganesan, Timothy Hnat, Syed Monowar Hossain, Zachary G. Ives, Jacqueline Kerr, Benjamin M. Marlin, Susan A. Murphy, James M. Rehg, Inbal Nahum-Shani, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter
Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). IEEE Pervasive Comput. 16 (2) (2017)
Roy J. Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin M. Marlin
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams. ICML (2016)
Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Deepak Ganesan, Benjamin M. Marlin, Christopher D. Salthouse
THE "I" IN THE EYE. GetMobile Mob. Comput. Commun. 20 (2) (2016)
Annamalai Natarajan, Gustavo Angarita, Edward Gaiser, Robert Malison, Deepak Ganesan, Benjamin M. Marlin
Domain adaptation methods for improving lab-to-field generalization of cocaine detection using wearable ECG. UbiComp (2016)
Steven Cheng-Xian Li, Benjamin M. Marlin
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification. NIPS (2016)
Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Benjamin M. Marlin, Christopher D. Salthouse, Deepak Ganesan
CIDER: enhancing the performance of computational eyeglasses. ETRA (2016)
Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series. CoRR (2016)
Meng-Chieh Chiu, Benjamin M. Marlin, Eliot Moss
Real-Time Program-Specific Phase Change Detection for Java Programs. PPPJ (2016)
Steven Cheng-Xian Li, Benjamin M. Marlin
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification. CoRR (2016)
Thai Nguyen, Roy J. Adams, Annamalai Natarajan, Benjamin M. Marlin
Parsing wireless electrocardiogram signals with context free grammar conditional random fields. Wireless Health (2016)
Nicholas Jacek, Meng-Chieh Chiu, Benjamin M. Marlin, Eliot Moss
Assessing the limits of program-specific garbage collection performance. PLDI (2016)
Hamid Dadkhahi, Benjamin M. Marlin
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices. CoRR (2016)
Roy J. Adams, Benjamin M. Marlin
Learning Time Series Detection Models from Temporally Imprecise Labels. CoRR (2016)
Laura Hiatt, Roy J. Adams, Benjamin M. Marlin
An Improved Data Representation for Smoking Detection with Wearable Respiration Sensors. ICHI (2016)
Hamid Dadkhahi, Nazir Saleheen, Santosh Kumar, Benjamin M. Marlin
Learning Shallow Detection Cascades for Wearable Sensor-Based Mobile Health Applications. CoRR (2016)
Haibin Huang, Evangelos Kalogerakis, Benjamin M. Marlin
Analysis and synthesis of 3D shape families via deep-learned generative models of surfaces. Comput. Graph. Forum 34 (5) (2015)
Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin
Isomap out-of-sample extension for noisy time series data. MLSP (2015)
Steven Cheng-Xian Li, Benjamin M. Marlin
Classification of Sparse and Irregularly Sampled Time Series with Mixtures of Expected Gaussian Kernels and Random Features. UAI (2015)
Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, J. Gayle Beck, Duen Horng Chau, Tyson Condie, David E. Conroy, Emre Ertin, Deborah Estrin, Deepak Ganesan, Cho Lam, Benjamin M. Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter
Center of excellence for mobile sensor data-to-knowledge (MD2K). J. Am. Medical Informatics Assoc. 22 (6) (2015)
Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Deepak Ganesan, Benjamin M. Marlin, Christopher D. Salthouse
CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass. MobiCom (2015)
Srinivasan Iyengar, Sandeep Kalra, Anushree Ghosh, David E. Irwin, Prashant J. Shenoy, Benjamin M. Marlin
iProgram: Inferring Smart Schedules for Dumb Thermostats. BuildSys@SenSys (2015)
Nazir Saleheen, Amin Ahsan Ali, Syed Monowar Hossain, Hillol Sarker, Soujanya Chatterjee, Benjamin M. Marlin, Emre Ertin, Mustafa al'Absi, Santosh Kumar
puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation. UbiComp (2015)
Annamalai Natarajan, Edward Gaiser, Gustavo Angarita, Robert Malison, Deepak Ganesan, Benjamin M. Marlin
Conditional random fields for morphological analysis of wireless ECG signals. BCB (2014)
Addison Mayberry, Pan Hu, Benjamin M. Marlin, Christopher D. Salthouse, Deepak Ganesan
iShadow: design of a wearable, real-time mobile gaze tracker. MobiSys (2014)
Andrew Kae, Benjamin M. Marlin, Erik G. Learned-Miller
The Shape-Time Random Field for Semantic Video Labeling. CVPR (2014)
Addison Mayberry, Pan Hu, Benjamin M. Marlin, Christopher D. Salthouse, Deepak Ganesan
iShadow: the computational eyeglass system. ETRA (2014)
Roy J. Adams, Rajani S. Sadasivam, Kavitha Balakrishnan, Rebecca L. Kinney, Thomas K. Houston, Benjamin M. Marlin
PERSPeCT: collaborative filtering for tailored health communications. RecSys (2014)
Annamalai Natarajan, Abhinav Parate, Edward Gaiser, Gustavo Angarita, Robert Malison, Benjamin M. Marlin, Deepak Ganesan
Detecting cocaine use with wearable electrocardiogram sensors. UbiComp (2013)
Abhinav Parate, Matthias Böhmer, David Chu, Deepak Ganesan, Benjamin M. Marlin
Practical prediction and prefetch for faster access to applications on mobile phones. UbiComp (2013)
Benjamin M. Marlin, Roy J. Adams, Rajani S. Sadasivam, Thomas K. Houston
Towards Collaborative Filtering Recommender Systems for Tailored Health Communications. AMIA (2013)
Sebastian Riedel, Limin Yao, Andrew McCallum, Benjamin M. Marlin
Relation Extraction with Matrix Factorization and Universal Schemas. HLT-NAACL (2013)
Annamalai Natarajan, Abhinav Parate, Edward Gaiser, Gustavo Angarita, Robert Malison, Benjamin M. Marlin, Deepak Ganesan
Detecting Signatures of Cocaine Using On-Body Sensors. AMIA (2013)
Abhinav Parate, Meng-Chieh Chiu, Deepak Ganesan, Benjamin M. Marlin
Leveraging graphical models to improve accuracy and reduce privacy risks of mobile sensing. MobiSys (2013)
Benjamin M. Marlin, David C. Kale, Robinder G. Khemani, Randall C. Wetzel
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models. IHI (2012)
Benjamin M. Marlin, Mark Schmidt, Kevin P. Murphy
Group Sparse Priors for Covariance Estimation CoRR (2012)
Benjamin M. Marlin, Nando de Freitas
Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood CoRR (2012)
Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin
Active Collaborative Filtering CoRR (2012)
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M. Marlin, Kevin P. Murphy
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models. AISTATS (2012)
Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney
Collaborative Filtering and the Missing at Random Assumption CoRR (2012)
Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney
Recommender Systems, Missing Data and Statistical Model Estimation. IJCAI (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Benjamin M. Marlin