Adam Golinski

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 16

Top Topics

Intrinsic Dimension

Variational Inference

Video Compression

Top Venues

J. Mach. Learn. Res.

Publications

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)
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 (2023)
Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. ICML (2022)
Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. CoRR (2022)
Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
COIN++: Data Agnostic Neural Compression. CoRR (2022)
Tim Reichelt, Adam Golinski, Luke Ong, Tom Rainforth
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently. UAI (2022)
Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
COIN++: Neural Compression Across Modalities. Trans. Mach. Learn. Res. 2022 (2022)
Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet
COIN: COmpression with Implicit Neural representations. CoRR (2021)
Tim Reichelt, Adam Golinski, Luke Ong, Tom Rainforth
Expectation Programming. CoRR (2021)
Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen
Feedback Recurrent Autoencoder for Video Compression. ACCV (4) (2020)
Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen
Feedback Recurrent Autoencoder for Video Compression. CoRR (2020)
Tom Rainforth, Adam Golinski, Frank Wood, Sheheryar Zaidi
Target-Aware Bayesian Inference: How to Beat Optimal Conventional Estimators. J. Mach. Learn. Res. 21 (2020)
Adam Golinski, Frank Wood, Tom Rainforth
Amortized Monte Carlo Integration. ICML (2019)
Adam Golinski, Frank Wood, Tom Rainforth
Amortized Monte Carlo Integration. CoRR (2019)
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)
Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Yee Whye Teh, Frank D. Wood
Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference. CoRR (2017)