Jaan Altosaar

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 16

Top Topics

Matrix Factorization

Variational Inference

Mass Spectrometry

Recurrent Neural Networks

Top Venues

Publications

Jacob S. Zelko, Sarah Gasman, Shenita R. Freeman, Dong Yun Lee, Jaan Altosaar, Azza Shoaibi, Gowtham Rao
Developing a Robust Computable Phenotype Definition Workflow to Describe Health and Disease in Observational Health Research. CoRR (2023)
Tony Y. Sun, Shreyas Bhave, Jaan Altosaar, Noemie Elhadad
Assessing Phenotype Definitions for Algorithmic Fairness. AMIA (2022)
Tony Y. Sun, Shreyas Bhave, Jaan Altosaar, Noémie Elhadad
Assessing Phenotype Definitions for Algorithmic Fairness. CoRR (2022)
Anton Stengel, Jaan Altosaar, Rebecca Dittrich, Noémie Elhadad
Assisted Living in the United States: an Open Dataset. CoRR (2022)
Tony Y. Sun, Oliver J. Bear Don't Walk IV, Jenny Chen, Jaan Altosaar, Harry Reyes Nieva, Noemie Elhadad
Gender Differences in Time to Diagnosis through Fairness and Time Variant Evaluation of EHR Data. AMIA (2021)
Gabriel Reder, Adamo Young, Jaan Altosaar, Jakub Rajniak, Noémie Elhadad, Michael Fischbach, Susan Holmes
Supervised topic modeling for predicting molecular substructure from mass spectrometry. F1000Research 10 (2021)
Rohan Bansal, Jordan Olmstead, Uri Bram, Robert Cottrell, Gabriel Reder, Jaan Altosaar
Recommending Interesting Writing using a Controllable, Explanation-Aware Visual Interface. IntRS@RecSys (2020)
William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho
Evaluating representations by the complexity of learning low-loss predictors. CoRR (2020)
Kexin Huang, Jaan Altosaar, Rajesh Ranganath
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission. CoRR (2019)
Jaan Altosaar, Rajesh Ranganath, David M. Blei
Proximity Variational Inference. AISTATS (2018)
Adji B. Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei
Noisin: Unbiased Regularization for Recurrent Neural Networks. CoRR (2018)
Adji Bousso Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei
Noisin: Unbiased Regularization for Recurrent Neural Networks. ICML (2018)
Jaan Altosaar, Rajesh Ranganath, David M. Blei
Proximity Variational Inference. CoRR (2017)
Dawen Liang, Jaan Altosaar, Laurent Charlin, David M. Blei
Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence. RecSys (2016)
Rajesh Ranganath, Dustin Tran, Jaan Altosaar, David M. Blei
Operator Variational Inference. NIPS (2016)
Rajesh Ranganath, Jaan Altosaar, Dustin Tran, David M. Blei
Operator Variational Inference. CoRR (2016)
Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans, Richard Jean So
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections. EMNLP (2015)
Andrew Mercer-Taylor, Jaan Altosaar
Sonification of fish movement using pitch mesh pairs. NIME (2015)
Ethan Benjamin, Jaan Altosaar
Musicmapper: interactive 2d representations of music samples for in-browser remixing and exploration. NIME (2015)
Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans, Richard Jean So
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections. CoRR (2015)