Mark Goldstein
12 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (26) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🤝 Dynamic Duo (10)
🧬
Topic Evolution
🤝
Dynamic Duo
(10)
🗃️
Keyword Collector
(55)
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Deep Learning
(6)
Core Methods
(6)
Models
(5)
Core AI
(4)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Computer Vision
(2)
Bayesian & Probabilistic
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Keywords
survival analysis
(3)
generative model
(3)
time-to-event prediction
(2)
square loss regression
(2)
stochastic interpolant
(2)
temporal reasoning
(1)
transfer learning
(1)
policy evaluation
(1)
deep learning
(1)
cross-modal retrieval
(1)
domain generalization
(1)
concordance index
(1)
conditional distribution
(1)
causal effect estimation
(1)
out-of-distribution detection
(1)
lower bound
(1)
spurious correlation
(1)
estimation error
(1)
deep generative model
(1)
multimodal learning
(1)
Papers
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
ICLR 2025
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
NeurIPS 2024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
ICML 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
ECCV 2024
Stochastic Interpolants with Data-Dependent Couplings
ICML 2024
What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
ICML 2024
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
ICLR 2023
Learning Invariant Representations with Missing Data
CLeaR 2022
Survival Mixture Density Networks
MLHC 2022
Inverse-Weighted Survival Games
NeurIPS 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
ICML 2021
X-CAL: Explicit Calibration for Survival Analysis
NeurIPS 2020