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Publications associées (338)
Teaching Not To
Two design studios were successively taught in two schools of architecture: one at the Harvard Graduate School of Design (GSD) and the other at the Swiss Federal Institute of Technology in Lausanne (EPFL) in Lausanne, Switzerland, based on "A Global Morato ...
Taylor & Francis Inc2024Innovative dud detection based on JET DT experience
Olivier Sauter, Alessandro Pau
DT operations at JET gave a unique and invaluable opportunity to design, develop and test real -time controllers that will be applied in future burning plasma devices, as ITER and SPARC. Among them, the dud detector [L. Piron et al. 2019 Fusion Eng. Design ...
Lausanne2024Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes
Antoine Bosselut, Jibril Albachir Frej, Paola Mejia Domenzain, Luca Mouchel, Tatjana Nazaretsky, Seyed Parsa Neshaei, Thiemo Wambsganss
Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all learners receive the same content without considering their individual input ...
2024rrechaRge an R package for integrated groundwater recharge modelling
Context • Groundwater major water resource throughout the world that is heterogeneously distributed and sustains diversified uses • The sustainability of groundwater usage highly dependent on the relative rates of groundwater abstraction e g via pumping) a ...
2024AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering
Mathias Josef Payer, Zhiyao Feng, Chunmin Zhang, Ji Shi
Knowledge of a program's input format is essential for effective input generation in fuzzing. Automated input format reverse engineering represents an attractive but challenging approach to learning the format. In this paper, we address several challenges ...
Berkeley2023Sparse Attacks for Manipulating Explanations in Deep Neural Network Models
Pascal Frossard, Seyed Mohsen Moosavi Dezfooli, Michail Vlachos, Ahmad Ajalloeian
We investigate methods for manipulating classifier explanations while keeping the predictions unchanged. Our focus is on using a sparse attack, which seeks to alter only a minimal number of input features. We present an efficient and novel algorithm for co ...
Los Alamitos2023Monitoring On-Target Signaling Responses in Larval Zebrafish- Z-REX Unmasks Precise Mechanisms of Electrophilic Drugs and Metabolites
Yimon Aye, Phillippe Ly, Jesse Poganik, Kuan-Ting Huang
Reactive metabolites and related electrophilic drugs are among the most challenging small molecules to study. Conventional approaches to deconstruct the mode of action (MOA) of such molecules leverage bulk treatment of experimental specimens with an excess ...
JOURNAL OF VISUALIZED EXPERIMENTS2023Improving K-means Clustering Using Speculation
Anastasia Ailamaki, Viktor Sanca, Eleni Zapridou, Stefan Igescu
K-means is one of the fundamental unsupervised data clustering and machine learning methods. It has been well studied over the years: parallelized, approximated, and optimized for different cases and applications. With increasingly higher parallelism leadi ...
2023