Estimating Gibbs free energies via isobaric-isothermal flows

1 code implementation • 22 May 2023 • Peter Wirnsberger, Borja Ibarz, George Papamakarios

We present a machine-learning model based on normalizing flows that is trained to sample from the isobaric-isothermal ensemble.

Neural Algorithmic Reasoning with Causal Regularisation

no code implementations • 20 Feb 2023 • Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković

We evaluate our method on the CLRS algorithmic reasoning benchmark, where we show up to 3$\times$ improvements on the OOD test data.

Data Augmentation

A Generalist Neural Algorithmic Learner

2 code implementations • 22 Sep 2022 • Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković

The cornerstone of neural algorithmic reasoning is the ability to solve algorithmic tasks, especially in a way that generalises out of distribution.

Learning to Execute

Normalizing flows for atomic solids

1 code implementation • 16 Nov 2021 • Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell

We present a machine-learning approach, based on normalizing flows, for modelling atomic solids.

Reward learning from human preferences and demonstrations in Atari

2 code implementations • NeurIPS 2018 • Borja Ibarz, Jan Leike, Tobias Pohlen, Geoffrey Irving, Shane Legg, Dario Amodei

To solve complex real-world problems with reinforcement learning, we cannot rely on manually specified reward functions.

Atari Games Imitation Learning +2