Sotabase

Career

· Associate Professor, University of North Carolina at Chapel Hill2018–
· Ph.D. in Machine Learning, Carnegie Mellon University2012–2018
· MS in Computer Science, Carnegie Mellon University
· Intern, Uber ATG
· Software Engineer, Yahoo!

Publications (57)

MolecularRNN: Generating realistic molecular graphs with optimized properties
arXiv.org · 2019
177
cited
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
Neural Information Processing Systems · 2016
156
cited
Meta-Curvature
Neural Information Processing Systems · 2019
136
cited
Transformation Autoregressive Networks
International Conference on Machine Learning · 2018
88
cited
Distribution to Distribution Regression
International Conference on Machine Learning · 2013
87
cited
Estimating Cosmological Parameters from the Dark Matter Distribution
International Conference on Machine Learning · 2016
80
cited
Multi-fidelity Gaussian Process Bandit Optimisation
Journal of Artificial Intelligence Research · 2016
80
cited
Bayesian Nonparametric Kernel-Learning
International Conference on Artificial Intelligence and Statistics · 2015
72
cited
The Statistical Recurrent Unit
International Conference on Machine Learning · 2017
50
cited
Active Feature Acquisition with Generative Surrogate Models
International Conference on Machine Learning · 2020
45
cited
Fast Distribution To Real Regression
International Conference on Artificial Intelligence and Statistics · 2013
44
cited
NRTSI: Non-Recurrent Time Series Imputation
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2021
43
cited
Flow Models for Arbitrary Conditional Likelihoods
International Conference on Machine Learning · 2019
41
cited
Multiscale Score Matching for Out-of-Distribution Detection
International Conference on Learning Representations · 2020
36
cited
Exchangeable Neural ODE for Set Modeling
Neural Information Processing Systems · 2020
31
cited
Fast Function to Function Regression
International Conference on Artificial Intelligence and Statistics · 2014
31
cited
Arbitrary Conditional Distributions with Energy
Neural Information Processing Systems · 2021
21
cited
Learning to Retrieve Videos by Asking Questions
ACM Multimedia · 2022
19
cited
Linear-Time Learning on Distributions with Approximate Kernel Embeddings
AAAI Conference on Artificial Intelligence · 2015
18
cited
Adversarial Scrubbing of Demographic Information for Text Classification
Conference on Empirical Methods in Natural Language Processing · 2021
16
cited
Sotabase
Junier Oliva | Researcher Profile | Sotabase | Sotabase