Benjamin M. Marlin

137 papers A* 15A 20B 5C 3Misc 8Journal 54Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
Stress-Testing Alignment Audits With Prompt-Level Strategic Deception.
CoRR
Oliver Daniels, Perusha Moodley, Benjamin M. Marlin, David Lindner
2025 J jnl
ACE and Diverse Generalization via Selective Disagreement.
CoRR
Oliver Daniels, Stuart Armstrong, Alexandre Maranhão, Mahirah Fairuz Rahman, Benjamin M. Marlin, Rebecca Gormann
2025 J jnl
Combining LLM decision and RL action selection to improve RL policy for adaptive interventions.
CoRR
Karine Karine, Benjamin M. Marlin
2025 C conf
End-to-End Differentiable Multi-View Tracking: Architecture and Fine-Tuning Experiments.
FUSION
Colin Samplawski, Shiwei Fang, Benjamin M. Marlin
2025 — conf
Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant Described States.
MLHC
Karine Karine, Benjamin M. Marlin
2025 J jnl
Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant-Described States.
CoRR
Karine Karine, Benjamin M. Marlin
2025 — conf
GPU-GLMB: Assessing the Scalability of GPU-Accelerated Multi-Hypothesis Tracking.
MILCOM
Pranav Balakrishnan, Sidisha Barik, Sean M. O'Rourke, Benjamin M. Marlin
2025 J jnl
GPU-GLMB: Assessing the Scalability of GPU-Accelerated Multi-Hypothesis Tracking.
CoRR
Pranav Balakrishnan, Sidisha Barik, Sean M. O'Rourke, Benjamin M. Marlin
2025 — conf
Practical Considerations for Failure Resilient ML Systems at the Edge.
MILCOM
Krishna Praneet Gudipaty, Walid A. Hanafy, Li Wu, Jeffrey Twigg, Benjamin M. Marlin, Jesse Milzman, Suhas N. Diggavi, Tarek F. Abdelzaher, Prashant J. Shenoy
2025 C conf
SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions.
BSN
Asim H. Gazi, Bhanu Teja Gullapalli, Daiqi Gao, Benjamin M. Marlin, Vivek Shetty, Susan A. Murphy
2025 J jnl
Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions.
CoRR
Asim H. Gazi, Bhanu Teja Gullapalli, Daiqi Gao, Benjamin M. Marlin, Vivek Shetty, Susan A. Murphy
2024 J jnl
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings.
CoRR
Karine Karine, Susan A. Murphy, Benjamin M. Marlin
2024 A conf
FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors.
IROS
Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani Srivastava
2024 J jnl
FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors.
CoRR
Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani Srivastava
2024 J jnl
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors.
CoRR
Ho Lyun Jeong, Ziqi Wang, Colin Samplawski, Jason Wu, Shiwei Fang, Lance M. Kaplan, Deepak Ganesan, Benjamin M. Marlin, Mani Srivastava
2024 J jnl
Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach.
J. Biomed. Informatics
Steven De La Torre, Mohamed El Mistiri, Eric B. Hekler, Predrag Klasnja, Benjamin M. Marlin, Misha Pavel, Donna Spruijt-Metz, Daniel E. Rivera
2024 A* conf
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning.
ICLR
Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James Matthew Rehg
2024 J jnl
StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention.
CoRR
Karine Karine, Benjamin M. Marlin
2024 — conf
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation.
CHIL
Hui Wei, Maxwell A. Xu, Colin Samplawski, James Matthew Rehg, Santosh Kumar, Benjamin M. Marlin
2024 J jnl
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation.
CoRR
Hui Wei, Maxwell A. Xu, Colin Samplawski, James M. Rehg, Santosh Kumar, Benjamin M. Marlin
2023 A conf
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions.
UAI
Karine Karine, Predrag V. Klasnja, Susan A. Murphy, Benjamin M. Marlin
2023 J jnl
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions.
CoRR
Karine Karine, Predrag V. Klasnja, Susan A. Murphy, Benjamin M. Marlin
2023 A conf
Heteroskedastic Geospatial Tracking with Distributed Camera Networks.
UAI
Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin
2023 J jnl
Heteroskedastic Geospatial Tracking with Distributed Camera Networks.
CoRR
Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin
2023 — conf
IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research.
MILCOM
Benjamin M. Marlin, Niranjan Suri, Shiwei Fang, Mani B. Srivastava, Colin Samplawski, Ziqi Wang, Maggie B. Wigness
2023 J jnl
Retrieval-Based Reconstruction For Time-series Contrastive Learning.
CoRR
Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James M. Rehg
2022 J jnl
BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data.
CoRR
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 B conf
BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data.
CHASE
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 Misc conf
Design and Deployment of a Multi-Modal Multi-Node Sensor Data Collection Platform.
SenSys
Shiwei Fang, Ankur Sarker, Ziqi Wang, Mani B. Srivastava, Benjamin M. Marlin, Deepak Ganesan
2022 A* conf
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series.
ICLR
Satya Narayan Shukla, Benjamin M. Marlin
2022 J jnl
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning.
CoRR
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
2022 — conf
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods.
MLSys
Meet P. Vadera, Jinyang Li, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin
2022 — conf
Uncertainty Quantification Using Query-Based Object Detectors.
ECCV Workshops (8)
Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin
2021 — conf
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems.
CogMI
Meet P. Vadera, Benjamin M. Marlin
2021 J jnl
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems.
CoRR
Meet P. Vadera, Benjamin M. Marlin
2021 J jnl
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series.
CoRR
Satya Narayan Shukla, Benjamin M. Marlin
2021 A* conf
Multi-Time Attention Networks for Irregularly Sampled Time Series.
ICLR
Satya Narayan Shukla, Benjamin M. Marlin
2021 J jnl
Multi-Time Attention Networks for Irregularly Sampled Time Series.
CoRR
Satya Narayan Shukla, Benjamin M. Marlin
2021 — conf
Optimizing Intelligent Edge-clouds with Partitioning, Compression and Speculative Inference.
MILCOM
Shiwei Fang, Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Tarek F. Abdelzaher, Maggie B. Wigness
2021 A conf
Post-hoc loss-calibration for Bayesian neural networks.
UAI
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
2021 J jnl
Post-hoc loss-calibration for Bayesian neural networks.
CoRR
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
2021 — conf
Towards Transformer-Based Real-Time Object Detection at the Edge: A Benchmarking Study.
MILCOM
Colin Samplawski, Benjamin M. Marlin
2021 — conf
Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs.
MILCOM
Jinyang Li, Runyu Ma, Vikram Sharma Mailthody, Colin Samplawski, Benjamin M. Marlin, Songqing Chen, Shuochao Yao, Tarek F. Abdelzaher
2020 J jnl
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.
CoRR
Satya Narayan Shukla, Benjamin M. Marlin
2020 J jnl
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification.
CoRR
Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin
2020 A* conf
CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud.
MobiCom
Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Heesung Kwon
2020 J jnl
Digitizing clinical trials.
npj Digit. Medicine
Omer T. Inan, P. Tenaerts, Sheila A. Prindiville, H. R. Reynolds, D. S. Dizon, K. Cooper-Arnold, Mintu P. Turakhia, Mark J. Pletcher, Kenzie L. Preston, Harlan M. Krumholz, Benjamin M. Marlin, Kenneth D. Mandl, Predrag V. Klasnja, Bonnie Spring, Erin Iturriaga, R. Campo, P. Desvigne-Nickens, Y. Rosenberg, Steven R. Steinhubl, Robert M. Califf
2020 A conf
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks.
UAI
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
2020 J jnl
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks.
CoRR
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
2020 J jnl
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction.
CoRR
Satya Narayan Shukla, Benjamin M. Marlin
2020 A* conf
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective.
ICML
Steven Cheng-Xian Li, Benjamin M. Marlin
2020 J jnl
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective.
CoRR
Steven Cheng-Xian Li, Benjamin M. Marlin
2020 — conf
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems.
CogMI
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
2020 — conf
Towards Objection Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression.
AIChallengeIoT@SenSys
Colin Samplawski, Jin Huang, Deepak Ganesan, Benjamin M. Marlin
2020 J jnl
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.
CoRR
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
2020 — conf
Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels.
CVPR Workshops
Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin
2019 J jnl
Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty.
CoRR
Meet P. Vadera, Benjamin M. Marlin
2019 C conf
Hierarchical Active Learning for Model Personalization in the Presence of Label Scarcity.
BSN
Annamalai Natarajan, Deepak Ganesan, Benjamin M. Marlin
2019 J jnl
Inferring Smart Schedules for Dumb Thermostats.
ACM Trans. Cyber Phys. Syst.
Srinivasan Iyengar, Sandeep Kalra, Anushree Ghosh, David Irwin, Prashant J. Shenoy, Benjamin M. Marlin
2019 J jnl
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification.
CoRR
Colin Samplawski, Heesung Kwon, Erik G. Learned-Miller, Benjamin M. Marlin
2019 — conf
Interpolation-Prediction Networks for Irregularly Sampled Time Series.
ICLR (Poster)
Satya Narayan Shukla, Benjamin M. Marlin
2019 J jnl
Interpolation-Prediction Networks for Irregularly Sampled Time Series.
CoRR
Satya Narayan Shukla, Benjamin M. Marlin
2019 — conf
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks.
ICLR (Poster)
Steven Cheng-Xian Li, Bo Jiang, Benjamin M. Marlin
2019 J jnl
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks.
CoRR
Steven Cheng-Xian Li, Bo Jiang, Benjamin M. Marlin
2019 J jnl
Optimal Choice of When to Garbage Collect.
ACM Trans. Program. Lang. Syst.
Nicholas Jacek, Meng-Chieh Chiu, Benjamin M. Marlin, J. Eliot B. Moss
2019 B conf
Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection.
CHASE
Benjamin M. Marlin, Meet P. Vadera
2019 B conf
iLid: eyewear solution for low-power fatigue and drowsiness monitoring.
ETRA
Soha Rostaminia, Addison Mayberry, Deepak Ganesan, Benjamin M. Marlin, Jeremy Gummeson
2018 — conf
Executing Analytics and Fusion Workloads on Transient Computing Resources in Tactical Environments.
MILCOM
Ahmed Ali-Eldin, Deepak Ganesan, Heesung Kwon, Benjamin M. Marlin, Prashant J. Shenoy, Mani B. Srivastava, Don Towsley
2018 A conf
Learning Time Series Segmentation Models from Temporally Imprecise Labels.
UAI
Roy Adams, Benjamin M. Marlin
2018 J jnl
Modeling Irregularly Sampled Clinical Time Series.
CoRR
Satya Narayan Shukla, Benjamin M. Marlin
2018 J jnl
Toward an Internet of Battlefield Things: A Resilience Perspective.
Computer
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
2018 A conf
Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT.
ICDCS
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
2017 J jnl
Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K).
IEEE Pervasive Comput.
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
2017 A conf
Learning Time Series Detection Models from Temporally Imprecise Labels.
AISTATS
Roy J. Adams, Benjamin M. Marlin
2017 A* conf
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices.
KDD
Hamid Dadkhahi, Benjamin M. Marlin
2017 J jnl
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.
IEEE Trans. Image Process.
Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin
2017 J jnl
iLid: Low-power Sensing of Fatigue and Drowsiness Measures on a Computational Eyeglass.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Soha Rostaminia, Addison Mayberry, Deepak Ganesan, Benjamin M. Marlin, Jeremy Gummeson
2016 — conf
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification.
NIPS
Steven Cheng-Xian Li, Benjamin M. Marlin
2016 J jnl
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification.
CoRR
Steven Cheng-Xian Li, Benjamin M. Marlin
2016 — conf
An Improved Data Representation for Smoking Detection with Wearable Respiration Sensors.
ICHI
Laura Hiatt, Roy J. Adams, Benjamin M. Marlin
2016 A* conf
Assessing the limits of program-specific garbage collection performance.
PLDI
Nicholas Jacek, Meng-Chieh Chiu, Benjamin M. Marlin, Eliot Moss
2016 B conf
CIDER: enhancing the performance of computational eyeglasses.
ETRA
Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Benjamin M. Marlin, Christopher D. Salthouse, Deepak Ganesan
2016 Misc conf
Domain adaptation methods for improving lab-to-field generalization of cocaine detection using wearable ECG.
UbiComp
Annamalai Natarajan, Gustavo Angarita, Edward Gaiser, Robert Malison, Deepak Ganesan, Benjamin M. Marlin
2016 A* conf
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams.
ICML
Roy J. Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin M. Marlin
2016 J jnl
Learning Shallow Detection Cascades for Wearable Sensor-Based Mobile Health Applications.
CoRR
Hamid Dadkhahi, Nazir Saleheen, Santosh Kumar, Benjamin M. Marlin
2016 J jnl
Learning Time Series Detection Models from Temporally Imprecise Labels.
CoRR
Roy J. Adams, Benjamin M. Marlin
2016 J jnl
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices.
CoRR
Hamid Dadkhahi, Benjamin M. Marlin
2016 J jnl
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.
CoRR
Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin
2016 — conf
Parsing wireless electrocardiogram signals with context free grammar conditional random fields.
Wireless Health
Thai Nguyen, Roy J. Adams, Annamalai Natarajan, Benjamin M. Marlin
2016 — conf
Real-Time Program-Specific Phase Change Detection for Java Programs.
PPPJ
Meng-Chieh Chiu, Benjamin M. Marlin, Eliot Moss
2016 J jnl
THE "I" IN THE EYE.
GetMobile Mob. Comput. Commun.
Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Deepak Ganesan, Benjamin M. Marlin, Christopher D. Salthouse
2016 J jnl
Using DEA in conjunction with designs of experiments: an approach to assess simulated futures in the Afghan educational system.
J. Simulation
Benjamin M. Marlin, Han-Suk Sohn
2015 J jnl
Analysis and synthesis of 3D shape families via deep-learned generative models of surfaces.
Comput. Graph. Forum
Haibin Huang, Evangelos Kalogerakis, Benjamin M. Marlin
2015 A* conf
CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass.
MobiCom
Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Deepak Ganesan, Benjamin M. Marlin, Christopher D. Salthouse
2015 J jnl
Center of excellence for mobile sensor data-to-knowledge (MD2K).
J. Am. Medical Informatics Assoc.
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
2015 A conf
Classification of Sparse and Irregularly Sampled Time Series with Mixtures of Expected Gaussian Kernels and Random Features.
UAI
Steven Cheng-Xian Li, Benjamin M. Marlin
2015 — conf
Isomap out-of-sample extension for noisy time series data.
MLSP
Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin
2015 — conf
iProgram: Inferring Smart Schedules for Dumb Thermostats.
BuildSys
Srinivasan Iyengar, Sandeep Kalra, Anushree Ghosh, David Irwin, Prashant J. Shenoy, Benjamin M. Marlin
2015 Misc conf
puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation.
UbiComp
Nazir Saleheen, Amin Ahsan Ali, Syed Monowar Hossain, Hillol Sarker, Soujanya Chatterjee, Benjamin M. Marlin, Emre Ertin, Mustafa al'Absi, Santosh Kumar
2014 J jnl
A simulation model with verification and validation for time-phased education planning in Afghanistan.
Simul.
Benjamin M. Marlin, Han-Suk Sohn
2014 — conf
Conditional random fields for morphological analysis of wireless ECG signals.
BCB
Annamalai Natarajan, Edward Gaiser, Gustavo Angarita, Robert Malison, Deepak Ganesan, Benjamin M. Marlin
2014 A conf
PERSPeCT: collaborative filtering for tailored health communications.
RecSys
Roy J. Adams, Rajani S. Sadasivam, Kavitha Balakrishnan, Rebecca L. Kinney, Thomas K. Houston, Benjamin M. Marlin
2014 A* conf
The Shape-Time Random Field for Semantic Video Labeling.
CVPR
Andrew Kae, Benjamin M. Marlin, Erik G. Learned-Miller
2014 A conf
iShadow: design of a wearable, real-time mobile gaze tracker.
MobiSys
Addison Mayberry, Pan Hu, Benjamin M. Marlin, Christopher D. Salthouse, Deepak Ganesan
2014 B conf
iShadow: the computational eyeglass system.
ETRA
Addison Mayberry, Pan Hu, Benjamin M. Marlin, Christopher D. Salthouse, Deepak Ganesan
2013 Misc conf
Detecting Signatures of Cocaine Using On-Body Sensors.
AMIA
Annamalai Natarajan, Abhinav Parate, Edward Gaiser, Gustavo Angarita, Robert Malison, Benjamin M. Marlin, Deepak Ganesan
2013 Misc conf
Detecting cocaine use with wearable electrocardiogram sensors.
UbiComp
Annamalai Natarajan, Abhinav Parate, Edward Gaiser, Gustavo Angarita, Robert Malison, Benjamin M. Marlin, Deepak Ganesan
2013 A conf
Leveraging graphical models to improve accuracy and reduce privacy risks of mobile sensing.
MobiSys
Abhinav Parate, Meng-Chieh Chiu, Deepak Ganesan, Benjamin M. Marlin
2013 Misc conf
Practical prediction and prefetch for faster access to applications on mobile phones.
UbiComp
Abhinav Parate, Matthias Böhmer, David Chu, Deepak Ganesan, Benjamin M. Marlin
2013 — conf
Relation Extraction with Matrix Factorization and Universal Schemas.
HLT-NAACL
Sebastian Riedel, Limin Yao, Andrew McCallum, Benjamin M. Marlin
2013 Misc conf
Towards Collaborative Filtering Recommender Systems for Tailored Health Communications.
AMIA
Benjamin M. Marlin, Roy J. Adams, Rajani S. Sadasivam, Thomas K. Houston
2012 A conf
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models.
AISTATS
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M. Marlin, Kevin P. Murphy
2012 J jnl
Active Collaborative Filtering
CoRR
Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin
2012 J jnl
Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood
CoRR
Benjamin M. Marlin, Nando de Freitas
2012 J jnl
Collaborative Filtering and the Missing at Random Assumption
CoRR
Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney
2012 J jnl
Group Sparse Priors for Covariance Estimation
CoRR
Benjamin M. Marlin, Mark Schmidt, Kevin P. Murphy
2012 — conf
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models.
IHI
Benjamin M. Marlin, David C. Kale, Robinder G. Khemani, Randall C. Wetzel
2011 A conf
Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood.
UAI
Benjamin M. Marlin, Nando de Freitas
2011 — conf
Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification.
CRV
David Duvenaud, Benjamin M. Marlin, Kevin P. Murphy
2011 A* conf
On Autoencoders and Score Matching for Energy Based Models.
ICML
Kevin Swersky, Marc'Aurelio Ranzato, David Buchman, Benjamin M. Marlin, Nando de Freitas
2011 A* conf
Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models.
ICML
Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy
2011 A* conf
Recommender Systems, Missing Data and Statistical Model Estimation.
IJCAI
Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney
2010 Misc conf
A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets.
ITA
Kevin Swersky, Bo Chen, Benjamin M. Marlin, Nando de Freitas
2010 A conf
Inductive Principles for Restricted Boltzmann Machine Learning.
AISTATS
Benjamin M. Marlin, Kevin Swersky, Bo Chen, Nando de Freitas
2010 — conf
Variational bounds for mixed-data factor analysis.
NIPS
Mohammad Emtiyaz Khan, Benjamin M. Marlin, Guillaume Bouchard, Kevin P. Murphy
2009 — conf
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models.
NIPS
Baback Moghaddam, Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy
2009 A conf
Collaborative prediction and ranking with non-random missing data.
RecSys
Benjamin M. Marlin, Richard S. Zemel
2009 A conf
Group Sparse Priors for Covariance Estimation.
UAI
Benjamin M. Marlin, Mark Schmidt, Kevin P. Murphy
2009 A* conf
Sparse Gaussian graphical models with unknown block structure.
ICML
Benjamin M. Marlin, Kevin P. Murphy
2008 — —
Missing Data Problems in Machine Learning.
Benjamin M. Marlin
2007 A conf
Collaborative Filtering and the Missing at Random Assumption.
UAI
Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney
2005 A conf
Unsupervised Learning with Non-Ignorable Missing Data.
AISTATS
Benjamin M. Marlin, Sam T. Roweis, Richard S. Zemel
2004 J jnl
Constructing convex 3-polytopes from two triangulations of a polygon.
Comput. Geom.
Benjamin M. Marlin, Godfried T. Toussaint
2004 A* conf
The multiple multiplicative factor model for collaborative filtering.
ICML
Benjamin M. Marlin, Richard S. Zemel
2003 A conf
Active Collaborative Filtering.
UAI
Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin
2003 — conf
Modeling User Rating Profiles For Collaborative Filtering.
NIPS
Benjamin M. Marlin
2002 — conf
Constructing convex 3-polytopes from two triangulations of a polygon.
CCCG
Benjamin M. Marlin, Godfried T. Toussaint