2026 Benjamin M. Marlin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	34	12098	11746	4925	4705	127	5558

Overview

Benjamin M. Marlin is affiliated with the University of Massachusetts Amherst in the United States. Their research focuses primarily on computer science with a strong emphasis on artificial intelligence and its applications.

The scientist's work spans multiple subfields, including artificial intelligence, computer vision and pattern recognition, applied psychology, signal processing, and experimental and cognitive psychology. These areas reflect a multidisciplinary approach combining computational methods with insights from behavioral sciences.

The main topics covered in their research include:

Gaussian Processes and Bayesian Inference
Adversarial Robustness in Machine Learning
Machine Learning in Healthcare
Time Series Analysis and Forecasting
Mental Health Research Topics
Advanced Neural Network Applications
Mobile Health and mHealth Applications

Benjamin M. Marlin has contributed to a range of publication venues, most notably:

arXiv (Cornell University) with 23 papers
MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM) with 3 papers
Drug and Alcohol Dependence with 2 papers
PubMed with 2 papers
npj Digital Medicine with 1 paper

Their recent papers include:

"Digitizing clinical trials" published in 2020 in npj Digital Medicine
"Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol," published in 2022 in International Journal of Environmental Research and Public Health
"Multi-Time Attention Networks for Irregularly Sampled Time Series," published in 2021 on arXiv (Cornell University)
"Learning from Irregularly-Sampled Time Series: A Missing Data Perspective," published in 2020 on arXiv (Cornell University)
"A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series," published in 2020 on arXiv (Cornell University)

Frequent collaborators working with Benjamin M. Marlin include:

Deepak Ganesan
Meet P. Vadera
Colin Samplawski
Predrag Klasnja
Satya Narayan Shukla

Best Publications

Relation Extraction with Matrix Factorization and Universal Schemas

Sebastian Riedel;Limin Yao;Andrew McCallum;Benjamin M. Marlin

689
Citations
Modeling User Rating Profiles For Collaborative Filtering

Benjamin M. Marlin

452
Citations
Collaborative prediction and ranking with non-random missing data

Benjamin M. Marlin;Richard S. Zemel

391
Citations
Digitizing clinical trials.

O. T. Inan;P. Tenaerts;S. A. Prindiville;H. R. Reynolds

325
Citations
Collaborative Filtering: A Machine Learning Perspective

Benjamin Marlin

271
Citations
Collaborative filtering and the missing at random assumption

Benjamin M. Marlin;Richard S. Zemel;Sam Roweis;Malcolm Slaney

261
Citations
Practical prediction and prefetch for faster access to applications on mobile phones

Abhinav Parate;Matthias Böhmer;David Chu;Deepak Ganesan

221
Citations
Inductive Principles for Restricted Boltzmann Machine Learning

Benjamin M. Marlin;Kevin Swersky;Bo Chen;Nando de Freitas

195
Citations
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models

Benjamin M. Marlin;David C. Kale;Robinder G. Khemani;Randall C. Wetzel

194
Citations
Missing data problems in machine learning

Benjamin M. Marlin

164
Citations
puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation

Nazir Saleheen;Amin Ahsan Ali;Syed Monowar Hossain;Hillol Sarker

134
Citations
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks

Steven Cheng-Xian Li;Bo Jiang;Benjamin M. Marlin

115
Citations
The multiple multiplicative factor model for collaborative filtering

Benjamin Marlin;Richard S. Zemel

112
Citations
On Autoencoders and Score Matching for Energy Based Models

Kevin Swersky;Marc'aurelio Ranzato;David Buchman;Nando D. Freitas

104
Citations
Active collaborative filtering

Craig Boutilier;Richard S. Zemel;Benjamin Marlin

101
Citations
Analysis and synthesis of 3D shape families via deep-learned generative models of surfaces

Haibin Huang;Evangelos Kalogerakis;Benjamin Marlin

91
Citations
A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets

Kevin Swersky;Bo Chen;Ben Marlin;Nando de Freitas

89
Citations
iShadow: design of a wearable, real-time mobile gaze tracker

Addison Mayberry;Pan Hu;Benjamin Marlin;Christopher Salthouse

86
Citations
Variational bounds for mixed-data factor analysis

Mohammad E Khan;Guillaume Bouchard;Kevin P. Murphy;Benjamin M. Marlin

84
Citations
Sparse Gaussian graphical models with unknown block structure

Benjamin M. Marlin;Kevin P. Murphy

74
Citations
Interpolation-Prediction Networks for Irregularly Sampled Time Series

Satya Narayan Shukla;Benjamin M. Marlin

67
Citations
Recommender systems: missing data and statistical model estimation

Benjamin M. Marlin;Richard S. Zemel;Sam T. Roweis;Malcolm Slaney

67
Citations
Multi-Time Attention Networks for Irregularly Sampled Time Series

Satya Narayan Shukla;Benjamin Marlin

52
Citations

Frequent Co-Authors

Deepak Ganesan University of Massachusetts Amherst

Richard S. Zemel University of Toronto

Robert T. Malison Yale University

Mani Srivastava University of California, Los Angeles

Mustafa al'Absi University of Minnesota

Sam T. Roweis New York University

Nando de Freitas DeepMind (United Kingdom)

Prashant Shenoy University of Massachusetts Amherst

Erik Learned-Miller University of Massachusetts Amherst

Bonnie Spring Northwestern University

External Links

Personal website of Benjamin M. Marlin

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