activity
20152023
most citedDetermining pressure-temperature phase diagrams of materials

70 citations · 180 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 6 cited

MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation

Marco Bellagente, Manuel Brack, Hannah Teufel +11

The recent popularity of text-to-image diffusion models (DM) can largely be attributed to the intuitive interface they provide to users. The intended generation can be expressed in…

cs.CV2022★ 7 cited

M-VADER: A Model for Diffusion with Multimodal Context

Samuel Weinbach, Marco Bellagente, Constantin Eichenberg +7

We introduce M-VADER: a diffusion model (DM) for image generation where the output can be specified using arbitrary combinations of images and text. We show how M-VADER enables the…

cs.LG2021★ 20 cited

Deep Learning Through the Lens of Example Difficulty

Robert J. N. Baldock, Hartmut Maennel, Behnam Neyshabur

Existing work on understanding deep learning often employs measures that compress all data-dependent information into a few numbers. In this work, we adopt a perspective based on t…

stat.ML2020★ 28 cited

What Do Neural Networks Learn When Trained With Random Labels?

Hartmut Maennel, Ibrahim Alabdulmohsin, Ilya Tolstikhin +4

We study deep neural networks (DNNs) trained on natural image data with entirely random labels. Despite its popularity in the literature, where it is often used to study memorizati…

stat.ML2019★ 3 cited

Bayesian Neural Networks at Finite Temperature

Robert J. N. Baldock, Nicola Marzari

We recapitulate the Bayesian formulation of neural network based classifiers and show that, while sampling from the posterior does indeed lead to better generalisation than is obta…

cond-mat.stat-mech2017★ 46 cited

Constant-pressure nested sampling with atomistic dynamics

Robert J. N. Baldock, Noam Bernstein, K. Michael Salerno +2

The nested sampling algorithm has been shown to be a general method for calculating the pressure-temperature-composition phase diagrams of materials. While the previous implementat…

cond-mat.mtrl-sci2015★ 70 cited

Determining pressure-temperature phase diagrams of materials

Robert J. N. Baldock, Lívia B. Pártay, Albert P. Bartók +2

We extend the nested sampling algorithm to simulate materials under periodic boundary and constant pressure conditions, and show how it can be used to determine the complete equili…