Benjamin Marlin
12 papers · 2010–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Full π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (28)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(62)
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(7)
Core Methods
(7)
Models
(5)
Artificial Intelligence
(3)
Application Areas
(3)
Architectures
(3)
Learning Types
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Clinical
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Keywords
generative adversarial network
(2)
uncertainty quantification
(2)
irregularly sampled time series
(2)
time series
(2)
variational autoencoder
(2)
conditional random field
(2)
irregular sampling
(2)
missing data
(2)
variational inference
(1)
attention mechanism
(1)
temporal modeling
(1)
knowledge distillation
(1)
policy learning
(1)
video understanding
(1)
contrastive learning
(1)
self-supervised learning
(1)
dynamic programming
(1)
metric learning
(1)
partition function
(1)
structured prediction
(1)
Papers
Using LLMs to improve RL policies in personalized health adaptive interventions
NAACL 2025
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
ICLR 2024
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
ICLR 2022
Multi-Time Attention Networks for Irregularly Sampled Time Series
ICLR 2021
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
UAI 2020
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
ICML 2020
Interpolation-Prediction Networks for Irregularly Sampled Time Series
ICLR 2019
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
ICLR 2019
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams
ICML 2016
The Shape-Time Random Field for Semantic Video Labeling
CVPR 2014
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
AISTATS 2012
Inductive Principles for Restricted Boltzmann Machine Learning
AISTATS 2010