Melanie F. Pradier

According to our database, Melanie F. Pradier authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation.

Melanie F. Pradier, Javier González

CoRR, 2024

2023

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires.

Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Max Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds

CoRR, 2023

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires.

Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

Repairing Neural Networks by Leaving the Right Past Behind.

Ryutaro Tanno, Melanie F. Pradier, Aditya V. Nori, Yingzhen Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible.

Melanie F. Pradier, Javier Zazo, Sonali Parbhoo, Roy H. Perlis, Maurizio Zazzi, Finale Doshi-Velez

CoRR, 2021

Evaluating Approximate Inference in Bayesian Deep Learning.

Andrew Gordon Wilson, Pavel Izmailov, Matthew D. Hoffman, Yarin Gal, Yingzhen Li, Melanie F. Pradier, Sharad Vikram, Andrew Y. K. Foong, Sanae Lotfi, Sebastian Farquhar

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens.

Maia L. Jacobs, Jeffrey He, Melanie F. Pradier, Barbara D. Lam, Andrew C. Ahn, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez, Krzysztof Z. Gajos

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

General Latent Feature Models for Heterogeneous Datasets.

Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani

J. Mach. Learn. Res., 2020

PoRB-Nets: Poisson Process Radial Basis Function Networks.

Beau Coker, Melanie Fernandes Pradier, Finale Doshi-Velez

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Towards Expressive Priors for Bayesian Neural Networks: Poisson Process Radial Basis Function Networks.

Beau Coker, Melanie F. Pradier, Finale Doshi-Velez

CoRR, 2019

Output-Constrained Bayesian Neural Networks.

Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez

CoRR, 2019

Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies.

Stefan G. Stark, Stephanie L. Hyland, Melanie Fernandes Pradier, Kjong-Van Lehmann, Andreas Wicki, Fernando Pérez-Cruz, Julia E. Vogt, Gunnar Rätsch

CoRR, 2019

2018

Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights.

Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-Velez

CoRR, 2018

Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade.

Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Ljupco Kocarev, Fernando Pérez-Cruz

CoRR, 2018

Sparse Three-Parameter Restricted Indian Buffet Process for Understanding International Trade.

Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Lujupco Kocorev, Fernando Pérez-Cruz

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

General Latent Feature Modeling for Data Exploration Tasks.

Isabel Valera, Melanie F. Pradier, Zoubin Ghahramani

CoRR, 2017

2016

Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit.

Melanie F. Pradier, Pablo M. Olmos, Fernando Pérez-Cruz

Entropy, 2016