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ORCIDAdrià Garriga-Alonso
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2020 – today
- 2023
[i9]Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso:
Towards Automated Circuit Discovery for Mechanistic Interpretability. CoRR abs/2304.14997 (2023)- 2022
- [c4]Vincent Fortuin
, Adrià Garriga-Alonso, Sebastian W. Ober, Florian Wenzel, Gunnar Rätsch, Richard E. Turner, Mark van der Wilk, Laurence Aitchison:
Bayesian Neural Network Priors Revisited. ICLR 2022 - [c3]Seth Nabarro, Stoil Ganev, Adrià Garriga-Alonso, Vincent Fortuin, Mark van der Wilk, Laurence Aitchison:
Data augmentation in Bayesian neural networks and the cold posterior effect. UAI 2022: 1434-1444 - [i8]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - 2021
- [j1]Vincent Fortuin, Adrià Garriga-Alonso, Mark van der Wilk, Laurence Aitchison:
BNNpriors: A library for Bayesian neural network inference with different prior distributions. Softw. Impacts 9: 100079 (2021) - [c2]Adrià Garriga-Alonso, Mark van der Wilk:
Correlated weights in infinite limits of deep convolutional neural networks. UAI 2021: 1998-2007 - [i7]Adrià Garriga-Alonso, Mark van der Wilk:
Correlated Weights in Infinite Limits of Deep Convolutional Neural Networks. CoRR abs/2101.04097 (2021) - [i6]Adrià Garriga-Alonso, Vincent Fortuin:
Exact Langevin Dynamics with Stochastic Gradients. CoRR abs/2102.01691 (2021) - [i5]Vincent Fortuin, Adrià Garriga-Alonso, Florian Wenzel, Gunnar Rätsch, Richard E. Turner, Mark van der Wilk, Laurence Aitchison:
Bayesian Neural Network Priors Revisited. CoRR abs/2102.06571 (2021) - [i4]Vincent Fortuin, Adrià Garriga-Alonso, Mark van der Wilk, Laurence Aitchison:
BNNpriors: A library for Bayesian neural network inference with different prior distributions. CoRR abs/2105.06964 (2021) - [i3]Seth Nabarro, Stoil Ganev, Adrià Garriga-Alonso, Vincent Fortuin, Mark van der Wilk, Laurence Aitchison:
Data augmentation in Bayesian neural networks and the cold posterior effect. CoRR abs/2106.05586 (2021) - 2020
- [i2]David R. Burt, Sebastian W. Ober, Adrià Garriga-Alonso, Mark van der Wilk:
Understanding Variational Inference in Function-Space. CoRR abs/2011.09421 (2020)
2010 – 2019
- 2019
- [c1]Adrià Garriga-Alonso, Carl Edward Rasmussen, Laurence Aitchison:
Deep Convolutional Networks as shallow Gaussian Processes. ICLR (Poster) 2019 - 2018
- [i1]Adrià Garriga-Alonso, Laurence Aitchison, Carl Edward Rasmussen:
Deep Convolutional Networks as shallow Gaussian Processes. CoRR abs/1808.05587 (2018)
Coauthor Index
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last updated on 2023-10-02 01:22 CEST by the dblp team
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