Jaan Altosaar
Jaan Altosaar
PhD Candidate, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Factorization meets the item embedding: Regularizing matrix factorization with item co-occurrence
D Liang, J Altosaar, L Charlin, DM Blei
Proceedings of the 10th ACM conference on recommender systems, 59-66, 2016
1712016
Operator variational inference
R Ranganath, D Tran, J Altosaar, D Blei
Advances in Neural Information Processing Systems, 496-504, 2016
752016
Clinicalbert: Modeling clinical notes and predicting hospital readmission
K Huang, J Altosaar, R Ranganath
arXiv preprint arXiv:1904.05342, 2019
522019
Refrustration and competing orders in the prototypical Dy 2 Ti 2 O 7 spin ice material
P Henelius, T Lin, M Enjalran, Z Hao, JG Rau, J Altosaar, F Flicker, ...
Physical Review B 93 (2), 024402, 2016
382016
Tutorial-what is a variational autoencoder
J Altosaar
En ligne, 2019
152019
Noisin: Unbiased regularization for recurrent neural networks
AB Dieng, R Ranganath, J Altosaar, DM Blei
arXiv preprint arXiv:1805.01500, 2018
92018
Proximity variational inference
J Altosaar, R Ranganath, D Blei
International Conference on Artificial Intelligence and Statistics, 1961-1969, 2018
92018
Fast, flexible models for discovering topic correlation across weakly-related collections
J Zhang, A Gerow, J Altosaar, J Evans, RJ So
arXiv preprint arXiv:1508.04562, 2015
62015
Sonification of fish movement using pitch mesh pairs.
A Mercer-Taylor, J Altosaar
NIME, 28-29, 2015
62015
Musicmapper: interactive 2d representations of music samples for in-browser remixing and exploration.
E Benjamin, J Altosaar
NIME, 325-326, 2015
32015
Probabilistic Modeling of Structure in Science: Statistical Physics to Recommender Systems
J Altosaar
Princeton University, 2020
2020
Noise-Based Regularizers for Recurrent Neural Networks
AB Dieng, J Altosaar, R Ranganath, DM Blei
2018
Refrustration and competing orders in the prototypical Dy₂ Ti₂ O₇ spin ice material
P Henelius, T Lin, M Enjalran, Z Hao, JG Rau, J Altosaar, F Flicker, ...
Physical Review B 93 (2), 2016
2016
Numerical Study of Perturbations in Dipolar Spin Ice
T Lin, J Altosaar, P Henelius, M Gingras
APS 2013, T15. 012, 2013
2013
Hierarchical variational models for statistical physics
J Altosaar, R Ranganath, K Cranmer
Proximity-constrained reinforcement learning
A Bhatia, J Altosaar, S Gu
Supplement for Operator Variational Inference
R Ranganath, J Altosaar, D Tran, DM Blei
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Articles 1–17