480 citations · 527 across the 7 of their papers we have counts for
8 papers
Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries
Lucas Amoudruz, Sergey Litvinov, Riccardo Murri +4
We investigate the capabilities of cloud computing for large-scale,tightly-coupled simulations of biological fluids in complex geometries, traditionally performed in supercomputing…
Predicting retrosynthetic pathways using a combined linguistic model and hyper-graph exploration strategy
Philippe Schwaller, Riccardo Petraglia, Valerio Zullo +6
We present an extension of our Molecular Transformer architecture combined with a hyper-graph exploration strategy for automatic retrosynthesis route planning without human interve…
PAGAN: Portfolio Analysis with Generative Adversarial Networks
Giovanni Mariani, Yada Zhu, Jianbo Li +4
Since decades, the data science community tries to propose prediction models of financial time series. Yet, driven by the rapid development of information technology and machine in…
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
Matteo Manica, Christoph Auer, Valery Weber +9
Information extraction and data mining in biochemical literature is a daunting task that demands resource-intensive computation and appropriate means to scale knowledge ingestion.…
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
Florian Scheidegger, Roxana Istrate, Giovanni Mariani +3
In the deep-learning community new algorithms are published at an incredible pace. Therefore, solving an image classification problem for new datasets becomes a challenging task, a…
Mixed-Precision In-Memory Computing
Manuel Le Gallo, Abu Sebastian, Roland Mathis +6
As CMOS scaling reaches its technological limits, a radical departure from traditional von Neumann systems, which involve separate processing and memory units, is needed in order t…
Changing Computing Paradigms Towards Power Efficiency
Pavel Klavík, A. Cristiano I. Malossi, Constantin Bekas +1
Power awareness is fast becoming immensely important in computing, ranging from the traditional High Performance Computing applications, to the new generation of data centric workl…
A Parallel General Purpose Multi-Objective Optimization Framework, with Application to Beam Dynamics
N. Neveu, L. Spentzouris, A. Adelmann +6
Particle accelerators are invaluable tools for research in the basic and applied sciences, in fields such as materials science, chemistry, the biosciences, particle physics, nuclea…