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Publications associées (40)

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

EPFL2024

Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums

Rachid Guerraoui, Nirupam Gupta, John Stephan, Sadegh Farhadkhani, Rafaël Benjamin Pinot

Byzantine resilience emerged as a prominent topic within the distributed machine learning community. Essentially, the goal is to enhance distributed optimization algorithms, such as distributed SGD, in a way that guarantees convergence despite the presence ...

PMLR2022

Report - Action Lab “Sufficiency in the Swiss Habitat” 06-2022

Sascha Nick

This first Action Lab focused on the basics, such as how people understand sufficiency, how they feel about it, how they discuss (or don’t) this topic, and who should be at the table for future rounds. It was named “Sufficiency in the Swiss Habitat”, and p ...

EPFL2022

Dynamics of excited interlayer states in hexagonal boron nitride monolayers

Josef Andreas Schuler

Hexagonal boron nitride () is the isoelectronic but insulating counterpart of graphene. Like graphene it can easily be grown as high-quality nanotubes or as single layers on metal surfaces. Both materials can be exfoliated or transferred after single-layer ...

2020

Emotions in engineering education: Towards a research agenda

Roland John Tormey

This Work-in-Progress research paper describes preliminary work on a research agenda for emotions in engineering education. Emotions play an important role for teaching and learning in engineering education, but research on the topic is scarce. To spur res ...

IEEE2020

Combined use of airborne laser scanning and hyperspectral imaging for forest inventories

Matthew Josef Parkan

The thesis presented hereby proposes as a general objective the estimation of forest inventory parameters (e.g. trunk location, height, basal area, crown area, species, etc..) from the combination of Airborne Laser Scanning (ALS) and Hyperspectal Imaging ( ...

EPFL2019

The next 30 years: From a long-term to a short-term vision with systems science tools

Anna Pagani

The topic of the RE-MEET Amsterdam 2019 was a dialogue with the New Generation (overlook 1990 - 2020 and 2020 - 2050). For this purpose, five multinational young representatives of the new generation were invited dialogue and raise a new ambition, based on ...

2019

A Framework for the Secretary Problem on the Intersection of Matroids

Ola Nils Anders Svensson, Moran Feldman, Rico Zenklusen

The secretary problem became one of the most prominent online selection problems due to its numerous applications in online mechanism design. The task is to select a maximum weight subset of elements subject to given constraints, where elements arrive one- ...

ASSOC COMPUTING MACHINERY2018

Asset-liability management for long-term insurance business

Damir Filipovic, Joël Wagner, Paul Embrechts

This is a summary of the main topics and findings from the Swiss Risk and Insurance Forum 2017. That event gathered experts from academia, insurance industry, regulatory bodies, and consulting companies to discuss past and current developments as well as f ...

2018

How will we plan and build in 25 years and how will this process be regulated?

Julien Gamerro

Constraints and regulations related to new buildings are constantly evolving and all these changes, in our ways of thinking and producing, will have an impact on standards. For the policy field, contractual relationships, risk-allocation models and procedu ...

2018

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