Publications associées à On the Granularity of Explanations in Model Agnostic NLP Interpretability

Publications associées (17)

Design of Low-power Analog Circuits in Advanced Technology Nodes using the Gm/ID Approach

Simon Olivier Berner, Christian Enz, Hung-Chi Han

The Gm/ID approach has proven to be an efficient technique for the design of low-power analog circuits. Until now it was mostly demonstrated on older CMOS technology nodes. In this paper we will show that the Gm/ID methodology still holds for advanced tech ...

IEEE2023

Supporting Well-Being: A Digital Intervention Model for Disclosing Sexual Harassment in Higher Education

Denis Gillet, Isabelle Barbara Marie-Hélène Cardia

Sexual harassment is prevalent at all levels of higher education and research and in all disciplines, which means that engineering education is no exception. Following the #MeToo movement, students have started to report cases of abuses publicly in our ins ...

IEEE2023

User study of omnidirectional treadmill control algorithms in VR

Ronan Boulic, Mathias Guy Delahaye

We conducted a comparative user study of the Infinadeck [1] omnidirectional treadmill native control algorithm alongside an approach based on a state observer control scheme combining a kinematic model with error dynamics that allows users to change their ...

IEEE COMPUTER SOC2023

Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States

Alireza Amirshahi, Saleh Baghersalimi

The acquisition of survey responses is a crucial component in conducting research aimed at comprehending public opinion. However, survey data collection can be arduous, time-consuming, and expensive, with no assurance of an adequate response rate. In this ...

IEEE COMPUTER SOC2023

Maximum likelihood estimation of distribution grid topology and parameters from Smart Meter data

Lisa Carole Françoise Laurent, Giancarlo Ferrari Trecate, Jean-Sébastien Hubert Brouillon

This paper defines a Maximum Likelihood Estimator (MLE) for the admittance matrix estimation of distribution grids, utilising voltage magnitude and power measurements collected only from common, unsychronised measuring devices (Smart Meters). First, we pre ...

IEEE2023

Data re-uploading with a single qudit

Manuel Sebastian Rudolph

Quantum two-level systems, i.e., qubits, form the basis for most quantum machine learning approaches that have been proposed throughout the years. However, higher dimensional quantum systems constitute a promising alternative and are increasingly explored ...

2023

Neural-prior stochastic block model

Lenka Zdeborová, Odilon Marie Cyprien Duranthon

The stochastic block model (SBM) is widely studied as a benchmark for graph clustering aka community detection. In practice, graph data often come with node attributes that bear additional information about the communities. Previous works modeled such data ...

2023

Indexing Protected Deep Face Templates by Frequent Binary Patterns

Sébastien Marcel, Hatef Otroshi Shahreza

In this work, we present a simple biometric indexing scheme which is binning and retrieving cancelable deep face templates based on frequent binary patterns. The simplicity of the proposed approach makes it applicable to unprotected as well as protected, i ...

IEEE2022

Optima Age Over Erasure Channels

Emre Telatar, Rajai Nasser, Elie Najm

Previous works on age of information and erasure channels have dealt with specific models and computed the average age or average peak age for certain settings. In this paper, given a source that produces a letter every T-s seconds and an erasure channel t ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Topology Optimization of Soft Magnetic Composites with Integer Programming

Yves Perriard, Adrien Jean-Michel Thabuis, Xiaotao Ren

Soft Magnetic Composites (SMCs) have huge application potential in electrical devices. With the development of additive manufacturing (AM), the properties of SMCs can be boosted. It is therefore required an optimization algorithm to design SMCs considering ...

IEEE2022

Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks

Vassily Hatzimanikatis, Ljubisa Miskovic, Subham Choudhury, Daniel Robert Weilandt, Pierre Guy Rémy Salvy, David Michael Moret

Kinetic models of metabolism relate metabolic fluxes, metabolite concentrations and enzyme levels through mechanistic relations, rendering them essential for understanding, predicting and optimizing the behaviour of living organisms. However, due to the la ...

NATURE PORTFOLIO2022

Implicit Gradient Alignment in Distributed and Federated Learning

Martin Jaggi, Yatin Dandi, Luis Felipe Barba Flores

A major obstacle to achieving global convergence in distributed and federated learning is the misalignment of gradients across clients, or mini-batches due to heterogeneity and stochasticity of the distributed data. In this work, we show that data heteroge ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2022

Augmenting Deep Classifiers with Polynomial Neural Networks

Grigorios Chrysos

Deep neural networks have been the driving force behind the success in classification tasks, e.g., object and audio recognition. Impressive results and generalization have been achieved by a variety of recently proposed architectures, the majority of which ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Robustness Against Read Committed: A Free Transactional Lunch

Christoph Koch, Bas Ketsman

Transaction processing is a central part of most database applications. While serializability remains the gold standard for desirable transactional semantics, many database systems offer improved transaction throughput at the expense of introducing potenti ...

ASSOC COMPUTING MACHINERY2022

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load

Lara Orlandic, Gasser Hassan Elbanna Abdelbaset Abdelrahman Elbanna

As a neurophysiological response to threat or adverse conditions, stress can affect cognition, emotion and behaviour with potentially detrimental effects on health in the case of sustained exposure. Since the affective content of speech is inherently modul ...

ISCA-INT SPEECH COMMUNICATION ASSOC2022

Bitfiltrator: A general approach for reverse-engineering Xilinx bitstream formats

James Richard Larus, Sahand Kashani, Seyedmahyar Emami

As the usage of FPGAs spreads, engineers will inevitably employ them in ways unforeseen-or unwanted-by their manufacturers. Xilinx's toolchains offer multiple points for customizing the FPGA compilation flow, but all flows must end with Vivado as it is the ...

IEEE COMPUTER SOC2022

Shrinking Housing's Size: Using Agent-Based Modelling to Explore Measures for a Reduction of Floor Area Per Capita

Claudia Rebeca Binder Signer, Anna Pagani

To shrink the environmental footprint of housing, reducing dwellings' size is key. There is agreement among scholars on the measures that should be taken to achieve this goal, however their effectiveness and effects have not been sufficiently investigated. ...

SPRINGER-VERLAG BERLIN2022