Publications associées à Méthode de saisie

Data for Paper "Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning"

Anders Meibom, Devis Tuia, Guilhem Maurice Louis Banc-Prandi, Jonathan Paul Sauder

Example Data for DeepReefMap This dataset contains input videos in MP4 format taken with GoPro Hero 10 Cameras in Reefs in the Red Sea to demonstrate the DeepReefMap tool, which is described in the paper "Scalable Semantic 3D Mapping of Coral Reefs with De ...

EPFL Infoscience2024

Reproducibility dataset for CRYOWRF validation

Varun Sharma, Michael Lehning, Franziska Gerber

This dataset contains data and scripts for "CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB" (Gerber et al., 2022).* Simulation_setup: Namelists and input information to run the simulation. Some input files need to be downloaded ...

Zenodo2022

DASS: Combining Dynamic & Static Scheduling in High-Level Synthesis

Paolo Ienne, Lana Josipovic

A central task in high-level synthesis is scheduling: the allocation of operations to clock cycles. The classic approach to scheduling is static, in which each operation is mapped to a clock cycle at compile-time, but recent years have seen the emergence o ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

A Theory of Value for Service Ecosystems

Blagovesta Hristova Kostova

In this thesis, we present a theory of value for the design and analysis of service ecosystems. The theory is based on general systems thinking. The concept of a system is used for relating knowledge from different disciplines (such as software engineering ...

EPFL2022

Visual Focus of Attention Estimation in 3D Scene with an Arbitrary Number of Targets

Jean-Marc Odobez, Rémy Alain Siegfried

Visual Focus of Attention (VFOA) estimation in conversation is challenging as it relies on difficult to estimate information (gaze) combined with scene features like target positions and other contextual information (speaking status) allowing to disambigua ...

IEEE COMPUTER SOC2021

Planning for a Changing Climate without Accurate Predictions

Parag Rastogi, Mohammad Emtiyaz Khan

Simulation is an informative tool to plan the design and renovation of engineering systems, but its use requires accurate inputs from the users. Inputs such as the unknown future operating conditions might be expected in a system’s lifetime, e.g., the futu ...

Taylor & Francis Group2021

Combining Dynamic & Static Scheduling in High-level Synthesis

Paolo Ienne, Lana Josipovic

A central task in high-level synthesis is scheduling: the allocation of operations to clock cycles. The classic approach to scheduling is static, in which each operation is mapped to a clock cycle at compile-time, but recent years have seen the emergence o ...

ASSOC COMPUTING MACHINERY2020

Minimum energy adaptive structures – All-In-One problem formulation

Gennaro Senatore, Yafeng Wang

This paper presents a new All-In-One (AIO) implementation of an existing formulation to design adaptive structures through Total Energy Optimization (TEO). The method implemented in previous work is a nested optimization process, here named TEO-Nested. Num ...

2020

An open platform for Aerosol InfraRed Spectroscopy analysis - AIRSpec

Satoshi Takahama, Matteo Reggente, Rudolf Höhn

AIRSpec is a platform consisting of several chemometric packages developed for analysis of Fourier transform infrared (FTIR) spectra of atmospheric aerosols. The packages are accessible through a browser-based interface, which also generates the necessary ...

2019

Imaging through multimode fibers using deep learning: The effects of intensity versus holographic recording of the speckle pattern

Demetri Psaltis, Christophe Moser, Navid Borhani, Damien Claude-Marie Loterie, Eirini Kakkava, Babak Rahmani, Georgia Konstantinou, Ugur Tegin

Information transmission through multimode fibers (MMFs) has been a topic of great interest for many years. Deep learning algorithms have been applied successfully to MMFs in particular to fiber endoscopy. In this work, we show how Deep Neural Networks (DN ...

2019

Characterizations of Two Channel Orderings: Input-Degradedness and the Shannon Ordering

Rajai Nasser

The ordering of communication channels was first introduced by Shannon. In this paper, we aim to find characterizations of two orderings: input-degradedness and the Shannon ordering. A channel W is said to be input-degraded from another channel W' if W can ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

Programmable Constant-Force Multistable Mechanisms

Simon Nessim Henein, Mohamed Gamal Abdelrahman Ahmed Zanaty

Programmable multistable mechanisms exhibit stability behavior whereby the stiffness and the number of stable states can be controlled via programming inputs. In this paper, we report the zero stiffness behavior of a 2-degree of programming (DOP) T-combine ...

AMER SOC MECHANICAL ENGINEERS2018

Multimode optical fiber transmission with a deep learning network

Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Babak Rahmani, Georgia Konstantinou

Multimode fibers (MMFs) are an example of a highly scattering medium, which scramble the coherent light propagating within them to produce seemingly random patterns. Thus, for applications such as imaging and image projection through an MMF, careful measur ...

CHINESE ACAD SCIENCES, CHANGCHUN INST OPTICS FINE MECHANICS AND PHYSICS2018

Programmable Multistable Mechanisms: Design, modeling, characterization and applications

Mohamed Gamal Abdelrahman Ahmed Zanaty

Multistable Mechanisms are mechanical devices having more than one stable state. Since these mechanisms can maintain different deformations with zero force, they are advantageous for low power environments such as wristwatches and medical devices. In this ...

EPFL2018

Chaining Mutual Information and Tightening Generalization Bounds

Emmanuel Abbé

Bounding the generalization error of learning algorithms has a long history, which yet falls short in explaining various generalization successes including those of deep learning. Two important difficulties are (i) exploiting the dependencies between the h ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

Polarization and Channel Ordering: Characterizations and Topological Structures

Rajai Nasser

Information theory is the field in which we study the fundamental limitations of communication. Shannon proved in 1948 that there exists a maximum rate, called capacity, at which we can reliably communicate information through a given channel. However, Sha ...

EPFL2017

INVESTIGATION OF TURBIDITY CURRENT VENTING FOR TWO DIFFERENT RESERVOIR BED SLOPES

Anton Schleiss, Giovanni De Cesare, Sabine Chamoun

Reservoirs represent an important source of energy that should be preserved and sustained. However, the lifetime of reservoirs is being reduced due to natural processes such as sedimentation. To face this problem, different sediment mitigation techniques a ...

2017

Synthesizing efficient systems in probabilistic environments

Barbara Jobstmann, David Parker

We present a formalism, algorithms and tools to synthesise reactive systems that behave efficiently, i.e., which achieve an optimal trade-off between a given cost and reward model. Synthesis aims to automatically generate a program from a specification. Mo ...

Springer2016

Estimating r(B)(D pi) as an input to the determination of the CKM angle gamma

Maurizio Martinelli

The interference between Cabibbo-favored and Cabibbo-suppressed B -> D pi decay amplitudes provides sensitivity to the CKM angle gamma. The relative size of the interfering amplitudes is an important ingredient in the determination of gamma. Using branchin ...

American Physical Society2016

Why our best theories of perception lead to Anti-reductionism

Michael Herzog, Adrien Christophe Doerig

Basic percepts and observation sentences, such as "the voltmeter is at 7A", provide the ground truth for realistic theories. Reduction is the second backbone of these theories linking, for example, neuroscience to physics. First, we will show, by mathemati ...

2016