Natasa Tagasovska
9 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (6) π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (18)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
Conferences
NIPS (4)
ICML (2)
AISTATS (1)
CLEAR (1)
ICLR (1)
Top co-authors
Keywords
vine copula
(2)
generative model
(2)
quantile regression
(2)
bayesian inference
(1)
causal discovery
(1)
gradient-based optimization
(1)
uncertainty quantification
(1)
epistemic uncertainty
(1)
self-supervised learning
(1)
deep learning
(1)
protein design
(1)
minimum description length
(1)
option pricing
(1)
latent representation
(1)
disentangled representation
(1)
variational autoencoder
(1)
prediction interval
(1)
uncertainty estimation
(1)
aleatoric uncertainty
(1)
property optimization
(1)
Papers
Uncertainty modeling for fine-tuned implicit functions
ICLR 2025
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
NIPS 2024
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
ICML 2024
Retrospective Uncertainties for Deep Models using Vine Copulas
AISTATS 2023
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
CLEAR 2023
Deep Smoothing of the Implied Volatility Surface
NIPS 2020
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
ICML 2020
Single-Model Uncertainties for Deep Learning
NIPS 2019
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
NIPS 2019