Melanie F. Pradier

21 papers A* 2Misc 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation. CLeaR Melanie F. Pradier, Javier González
2024	J	`jnl`	Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation. CoRR Melanie F. Pradier, Javier González
2023	—	`conf`	AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. MLHC Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds
2023	J	`jnl`	AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. CoRR Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Max Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds
2022	—	`ed.`	Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA ICBINB Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein
2022	A*	`conf`	Repairing Neural Networks by Leaving the Right Past Behind. NeurIPS Ryutaro Tanno, Melanie F. Pradier, Aditya V. Nori, Yingzhen Li
2022	J	`jnl`	Repairing Neural Networks by Leaving the Right Past Behind. CoRR Ryutaro Tanno, Melanie F. Pradier, Aditya V. Nori, Yingzhen Li
2021	A*	`conf`	Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens. CHI 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
2021	J	`jnl`	Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens. CoRR 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
2021	—	`conf`	Evaluating Approximate Inference in Bayesian Deep Learning. NeurIPS (Competition and Demos) 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
2021	—	`ed.`	I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, Virtual Workshop, December 13, 2021. ICBINB@NeurIPS Melanie F. Pradier, Aaron Schein, Stephanie L. Hyland, Francisco J. R. Ruiz, Jessica Zosa Forde
2021	J	`jnl`	Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible. CoRR Melanie F. Pradier, Javier Zazo, Sonali Parbhoo, Roy H. Perlis, Maurizio Zazzi, Finale Doshi-Velez
2020	—	`ed.`	"I Can't Believe It's Not Better!" at NeurIPS Workshops, Virtual, December 12, 2020 ICBINB@NeurIPS Jessica Zosa Forde, Francisco J. R. Ruiz, Melanie F. Pradier, Aaron Schein
2020	J	`jnl`	General Latent Feature Models for Heterogeneous Datasets. J. Mach. Learn. Res. Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani
2019	J	`jnl`	Output-Constrained Bayesian Neural Networks. CoRR Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez
2019	J	`jnl`	Towards Expressive Priors for Bayesian Neural Networks: Poisson Process Radial Basis Function Networks. CoRR Beau Coker, Melanie F. Pradier, Finale Doshi-Velez
2018	J	`jnl`	Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights. CoRR Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-Velez
2018	Misc	`conf`	Sparse Three-Parameter Restricted Indian Buffet Process for Understanding International Trade. ICASSP Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Lujupco Kocorev, Fernando Pérez-Cruz
2018	J	`jnl`	Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade. CoRR Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Ljupco Kocarev, Fernando Pérez-Cruz
2017	J	`jnl`	General Latent Feature Modeling for Data Exploration Tasks. CoRR Isabel Valera, Melanie F. Pradier, Zoubin Ghahramani
2016	J	`jnl`	Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit. Entropy Melanie F. Pradier, Pablo M. Olmos, Fernando Pérez-Cruz