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2020 – today
- 2023
[c6]Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella:
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. ICML 2023: 29143-29160- [i8]Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella:
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. CoRR abs/2307.10907 (2023) - 2022
- [j2]Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet:
COIN++: Neural Compression Across Modalities. Trans. Mach. Learn. Res. 2022 (2022) - [c5]Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski:
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. ICML 2022: 21205-21231 - [c4]Tim Reichelt, Adam Golinski, Luke Ong, Tom Rainforth:
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently. UAI 2022: 1676-1685 - [i7]Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet:
COIN++: Data Agnostic Neural Compression. CoRR abs/2201.12904 (2022) - [i6]Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski:
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. CoRR abs/2206.14882 (2022) - 2021
- [i5]Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet:
COIN: COmpression with Implicit Neural representations. CoRR abs/2103.03123 (2021) - [i4]Tim Reichelt, Adam Golinski, Luke Ong, Tom Rainforth:
Expectation Programming. CoRR abs/2106.04953 (2021) - 2020
- [j1]Tom Rainforth, Adam Golinski, Frank Wood, Sheheryar Zaidi:
Target-Aware Bayesian Inference: How to Beat Optimal Conventional Estimators. J. Mach. Learn. Res. 21: 88:1-88:54 (2020) - [c3]Adam Golinski
, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen:
Feedback Recurrent Autoencoder for Video Compression. ACCV (4) 2020: 591-607 - [i3]Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen:
Feedback Recurrent Autoencoder for Video Compression. CoRR abs/2004.04342 (2020)
2010 – 2019
- 2019
- [c2]Adam Golinski, Frank Wood, Tom Rainforth:
Amortized Monte Carlo Integration. ICML 2019: 2309-2318 - [i2]Adam Golinski, Frank Wood, Tom Rainforth:
Amortized Monte Carlo Integration. CoRR abs/1907.08082 (2019) - 2018
- [c1]Stefan Webb, Adam Golinski, Robert Zinkov, Siddharth Narayanaswamy, Tom Rainforth, Yee Whye Teh, Frank Wood:
Faithful Inversion of Generative Models for Effective Amortized Inference. NeurIPS 2018: 3074-3084 - 2017
- [i1]Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Yee Whye Teh, Frank D. Wood:
Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference. CoRR abs/1712.00287 (2017)
Coauthor Index
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