Brooks Paige
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
6
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift. | Seongho Son, William Bankes, Sayak Ray Chowdhury, Brooks Paige, Ilija Bogunovic |
| 2024 | BMVC | Balancing Calibration and Performance: Stochastic Depth in Segmentation BNNs. | Linghong Yao, Denis Hadjivelichkov, Andromachi Maria Delfaki, Yuanchang Liu, Brooks Paige, Dimitrios Kanoulas |
| 2024 | ICML | Gaussian Processes on Cellular Complexes. | Mathieu Alain, So Takao, Brooks Paige, Marc Peter Deisenroth |
| 2024 | ICML | Diffusive Gibbs Sampling. | Wenlin Chen, Mingtian Zhang, Brooks Paige, Jos Miguel Hernndez-Lobato, David Barber |
| 2022 | AISTATS | Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes. | Hugh Dance, Brooks Paige |
| 2021 | AISTATS | Learning Bijective Feature Maps for Linear ICA. | Alexander Camuto, Matthew Willetts, Chris C. Holmes, Brooks Paige, Stephen J. Roberts |
| 2021 | ICLR | Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models. | Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth |
| 2020 | AISTATS | Data Generation for Neural Programming by Example. | Judith Clymo, Adri Gascn, Brooks Paige, Nathanal Fijalkow, Haik Manukian |
| 2020 | RECOMB | Reconstructing Genotypes in Private Genomic Databases from Genetic Risk Scores. | Brooks Paige, James Bell, Aurlien Bellet, Adri Gascn, Daphne Ezer |
| 2019 | AISTATS | Structured Disentangled Representations. | Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent |
| 2019 | ICLR | A Generative Model For Electron Paths. | John Bradshaw, Matt J. Kusner, Brooks Paige, Marwin H. S. Segler, Jos Miguel Hernndez-Lobato |
| 2019 | ICLR | Generating Molecules via Chemical Reactions. | John Bradshaw, Matt J. Kusner, Brooks Paige, Marwin H. S. Segler, Jos Miguel Hernndez-Lobato |
| 2018 | ICLR | Learning a Generative Model for Validity in Complex Discrete Structures. | David Janz, Jos van der Westhuizen, Brooks Paige, Matt J. Kusner, Jos Miguel Hernndez-Lobato |
| 2017 | ICML | Grammar Variational Autoencoder. | Matt J. Kusner, Brooks Paige, Jos Miguel Hernndez-Lobato |
| 2016 | AISTATS | Black-Box Policy Search with Probabilistic Programs. | Jan-Willem van de Meent, Brooks Paige, David Tolpin, Frank D. Wood |
| 2016 | ICML | Inference Networks for Sequential Monte Carlo in Graphical Models. | Brooks Paige, Frank D. Wood |
| 2016 | ICML | Interacting Particle Markov Chain Monte Carlo. | Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank D. Wood |
| 2016 | UAI | Super-Sampling with a Reservoir. | Brooks Paige, Dino Sejdinovic, Frank D. Wood |
| 2014 | ICML | A Compilation Target for Probabilistic Programming Languages. | Brooks Paige, Frank D. Wood |