Anna Goldenberg
18 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
(2)
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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(96)
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Research topics
Machine Learning
(14)
Artificial Intelligence
(11)
Core AI
(11)
Core Methods
(9)
Deep Learning
(6)
Learning Types Β· Machine Learning
(5)
Application Areas
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Techniques
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
time series
(4)
contrastive learning
(2)
time series classification
(2)
counterfactual generation
(2)
representation learning
(2)
recurrent neural network
(2)
generative model
(2)
clinical practice
(2)
off-policy evaluation
(1)
uncertainty quantification
(1)
deep reinforcement learning
(1)
data augmentation
(1)
kl divergence
(1)
multimodal learning
(1)
ensemble learning
(1)
domain adaptation
(1)
image classification
(1)
model interpretability
(1)
clinical prediction
(1)
variational inference
(1)
Papers
Unpaired Multimodal Learning for Biological Datasets
MIDL 2026
HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery
UAI 2025
Learning under Temporal Label Noise
ICLR 2025
Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios
MIDL 2024
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data
MLHC 2024
Decoupling Local and Global Representations of Time Series
AISTATS 2022
Error Amplification When Updating Deployed Machine Learning Models
MLHC 2022
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
ICLR 2022
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
CVPR 2021
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
ICLR 2021
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation
MLHC 2020
Preparing a Clinical Support Model for Silent Mode in General Internal Medicine
MLHC 2020
What went wrong and when? Instance-wise feature importance for time-series black-box models
NeurIPS 2020
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
ICML 2019
Explaining Image Classifiers by Counterfactual Generation
ICLR 2019
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
MLHC 2019
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
MLHC 2019
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU
MLHC 2018