Mark Goldstein
12 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Conference Polyglot (6) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Academic Marathon
(5)
π
Keyword Champion
(2)
π€
Dynamic Duo
(10)
π₯
Unstoppable
(6)
π
Conference Pioneer
β‘
Prolific Year
(5)
β
The Questioner
π
Century Club
(12)
Conferences
ICML (4)
NIPS (3)
ICLR (2)
CLEAR (1)
ECCV (1)
MLHC (1)
Top co-authors
Keywords
survival analysis
(3)
time-to-event prediction
(2)
domain generalization
(1)
transfer learning
(1)
multimodal learning
(1)
multi-modal learning
(1)
cross-modal retrieval
(1)
deep learning
(1)
concordance index
(1)
out-of-distribution detection
(1)
spurious correlation
(1)
estimation error
(1)
deep generative model
(1)
multimodal representation
(1)
total correlation
(1)
cross-modal classification
(1)
pairwise clip
(1)
invariant representation
(1)
missing datum
(1)
predictive model
(1)
Papers
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
ICLR 2025
Stochastic Interpolants with Data-Dependent Couplings
ICML 2024
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
NIPS 2024
Probabilistic Forecasting with Stochastic Interpolants and FΓΆllmer Processes
ICML 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
ECCV 2024
Whatβs 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
Survival Mixture Density Networks
MLHC 2022
Learning Invariant Representations with Missing Data
CLEAR 2022
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
ICML 2021
Inverse-Weighted Survival Games
NIPS 2021
X-CAL: Explicit Calibration for Survival Analysis
NIPS 2020