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Adam Goliński
Adam Goliński
Apple ML Research
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
COIN: COmpression with Implicit Neural representations
E Dupont*, A Goliński*, M Alizadeh, YW Teh, A Doucet
ICLR 2021 Neural Compression Workshop, 2021
1682021
COIN++: Neural Compression Across Modalities
E Dupont*, H Loya*, M Alizadeh, A Goliński, YW Teh, A Doucet
TMLR 2022 (11), 2022
71*2022
Feedback Recurrent Autoencoder for Video Compression
A Golinski*, R Pourreza*, Y Yang*, G Sautiere, TS Cohen
ACCV 2020, 2020
542020
Faithful Inversion of Generative Models for Effective Amortized Inference
S Webb, A Golinski, R Zinkov, N Siddharth, T Rainforth, YW Teh, F Wood
NeurIPS 2018, 2018
512018
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
P Tempczyk, R Michaluk, Ł Garncarek, P Spurek, J Tabor, A Goliński
ICML 2022, 2022
202022
Modular System Including Multiple Detachable Sensors
LL Pietrasik, AW Golinski, FM Kaklin, AH Zaatari, DJ Yee, ...
US Patent App. 15/043,553, 2016
192016
Improving normalizing flows via better orthogonal parameterizations
A Golinski*, M Lezcano-Casado*, T Rainforth
ICML 2019 Workshop on Invertible Neural Networks and Normalizing Flows, 2019
152019
Modular Sensor Systems
LL Pietrasik, AW Golinski, FM Kaklin, AH Zaatari, DJ Yee, ...
US Patent App. 15/431,584, 2017
132017
Video compression using recurrent-based machine learning systems
AW Golinski, Y Yang, R Pourreza, GK Sautiere, TJ Van Rozendaal, ...
US Patent 11,405,626, 2022
122022
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
BR Gálvez, A Blaas, P Rodriguez, A Golinski, X Suau, J Ramapuram, ...
ICML 2023, 2023
102023
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators
T Rainforth*, A Golinski*, F Wood, S Zaidi
JMLR 21, 2020
92020
Amortized Monte Carlo Integration
A Golinski*, F Wood, T Rainforth*
ICML 2019, Best Paper Honourable Mention, 2019
82019
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently
T Reichelt, A Goliński, L Ong, T Rainforth
UAI 2022, 2022
22022
Lossless Compression using Continuously-Indexed Normalizing Flows
A Golinski*, AL Caterini*
ICLR 2021 Neural Compression Workshop, 2021
22021
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