Deep Convolutional Networks as shallow Gaussian Processes. - Adrià Garriga-Alonso; Carl Edward Rasmussen; Laurence Aitchison (ICLR (Poster), 2019)

Understanding Variational Inference in Function-Space. - David R. Burt; Sebastian W. Ober; Adrià Garriga-Alonso; Mark van der Wilk (CoRR, 2020)

Correlated weights in infinite limits of deep convolutional neural networks. - Adrià Garriga-Alonso; Mark van der Wilk (UAI, 2021)

Exact Langevin Dynamics with Stochastic Gradients. - Adrià Garriga-Alonso; Vincent Fortuin (CoRR, 2021)

Bayesian Neural Network Priors Revisited. - Vincent Fortuin; Adrià Garriga-Alonso; Florian Wenzel; Gunnar Rätsch; Richard E. Turner; Mark van der Wilk; Laurence Aitchison (CoRR, 2021)

BNNpriors: A library for Bayesian neural network inference with different prior distributions. - Vincent Fortuin; Adrià Garriga-Alonso; Mark van der Wilk; Laurence Aitchison (CoRR, 2021)

BNNpriors: A library for Bayesian neural network inference with different prior distributions. - Vincent Fortuin; Adrià Garriga-Alonso; Mark van der Wilk; Laurence Aitchison (Softw. Impacts, 2021)

Bayesian Neural Network Priors Revisited. - Vincent Fortuin; Adrià Garriga-Alonso; Sebastian W. Ober; Florian Wenzel; Gunnar Rätsch; Richard E. Turner; Mark van der Wilk; Laurence Aitchison (ICLR, 2022)

Data augmentation in Bayesian neural networks and the cold posterior effect. - Seth Nabarro; Stoil Ganev; Adrià Garriga-Alonso; Vincent Fortuin; Mark van der Wilk; Laurence Aitchison (UAI, 2022)

Towards Automated Circuit Discovery for Mechanistic Interpretability. - Arthur Conmy; Augustine N. Mavor-Parker; Aengus Lynch; Stefan Heimersheim; Adrià Garriga-Alonso (NeurIPS, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - 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; et al. (Trans. Mach. Learn. Res., 2023)

InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques. - Rohan Gupta; Iván Arcuschin Moreno; Thomas Kwa; Adrià Garriga-Alonso (NeurIPS, 2024)

Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification. - Thomas Kwa; Drake Thomas; Adrià Garriga-Alonso (NeurIPS, 2024)

Hypothesis Testing the Circuit Hypothesis in LLMs. - Claudia Shi; Nicolas Beltran-Velez; Achille Nazaret; Carolina Zheng; Adrià Garriga-Alonso; Andrew Jesson; Maggie Makar; David M. Blei (NeurIPS, 2024)

Analysing the Generalisation and Reliability of Steering Vectors. - Daniel Tan; David Chanin; Aengus Lynch; Brooks Paige; Dimitrios Kanoulas; Adrià Garriga-Alonso; Robert Kirk (NeurIPS, 2024)

Analyzing the Generalization and Reliability of Steering Vectors. - Daniel Tan; David Chanin; Aengus Lynch; Dimitrios Kanoulas; Brooks Paige; Adrià Garriga-Alonso; Robert Kirk (CoRR, 2024)

Investigating the Indirect Object Identification circuit in Mamba. - Danielle Ensign; Adrià Garriga-Alonso (CoRR, 2024)

Adversarial Circuit Evaluation. - Niels uit de Bos; Adrià Garriga-Alonso (CoRR, 2024)

Planning behavior in a recurrent neural network that plays Sokoban. - Adrià Garriga-Alonso; Mohammad Taufeeque; Adam Gleave (CoRR, 2024)

Interpreting Emergent Planning in Model-Free Reinforcement Learning. - Thomas Bush; Stephen Chung; Usman Anwar; Adrià Garriga-Alonso; David Krueger 001 (ICLR, 2025)

Open Problems in Mechanistic Interpretability. - Lee Sharkey; Bilal Chughtai; Joshua Batson; Jack Lindsey; Jeff Wu 003; Lucius Bushnaq; Nicholas Goldowsky-Dill; Stefan Heimersheim; Alejandro Ortega; Joseph Isaac Bloom; Stella Biderman; Adrià Garriga-Alonso; et al. (CoRR, 2025)

Among Us: A Sandbox for Agentic Deception. - Satvik Golechha; Adrià Garriga-Alonso (CoRR, 2025)

Feature Hedging: Correlated Features Break Narrow Sparse Autoencoders. - David Chanin; Tomás Dulka; Adrià Garriga-Alonso (CoRR, 2025)

Interpreting learned search: finding a transition model and value function in an RNN that plays Sokoban. - Mohammad Taufeeque; Aaron David Tucker; Adam Gleave; Adrià Garriga-Alonso (CoRR, 2025)