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20192026
most citedUnraveling the Hidden Environmental Impacts of AI Solutions for Environment

180 citations

Showing 2024Show all

62 papers · 1 filter

cs.LG2024★ 4 cited

How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts

Clément Morand, Anne-Laure Ligozat, Aurélie Névéol

The compute requirements associated with training Artificial Intelligence (AI) models have increased exponentially over time. Optimisation strategies aim to reduce the energy consu…

cs.CL2024★ 1 cited

Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection

Ayoub Hammal, Benno Uthayasooriyar, Caio Corro

Named-entity recognition (NER) is a task that typically requires large annotated datasets, which limits its applicability across domains with varying entity definitions. This paper…

math.CO2024

Partitions of planar (oriented) graphs into a connected acyclic and an independent set

Stijn Cambie, François Dross, Kolja Knauer +2

A question at the intersection of Barnette's Hamiltonicity and Neumann-Lara's dicoloring conjecture is: Can every Eulerian oriented planar graph be vertex-partitioned into two acyc…

cs.LG2024

ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning

Nilo Schwencke, Cyril Furtlehner

In the recent years, Physics Informed Neural Networks (PINNs) have received strong interest as a method to solve PDE driven systems, in particular for data assimilation purpose. Th…

math.CO2024

A conjecture on descents, inversions and the weak order

Christophe Hohlweg, Viviane Pons

In this article, we discuss the notion of partition of elements in an arbitrary Coxeter system : a partition of an element is a subset such that…

cs.CL2024★ 4 cited

Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment

Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong +4

Large language models (LLMs) represent a promising, but controversial, tool in aiding scientific peer review. This study evaluates the usefulness of LLMs in a conference setting as…

cs.CL2024

Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows

Clémence Sebe, Sarah Cohen-Boulakia, Olivier Ferret +1

Bioinformatics workflows are essential for complex biological data analyses and are often described in scientific articles with source code in public repositories. Extracting detai…

cs.CV2024

Mitigation of gender bias in automatic facial non-verbal behaviors generation

Alice Delbosc, Magalie Ochs, Nicolas Sabouret +2

Research on non-verbal behavior generation for social interactive agents focuses mainly on the believability and synchronization of non-verbal cues with speech. However, existing m…

cs.CL2024

Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics

Théo Gigant, Camille Guinaudeau, Marc Decombas +1

Automatic metrics are used as proxies to evaluate abstractive summarization systems when human annotations are too expensive. To be useful, these metrics should be fine-grained, sh…

cs.HC2024

Toward Understanding the Experiences of People in Late Adulthood with Embedded Information Displays in the Home

Zack While, Henry Wheeler-Klainberg, Tanja Blascheck +2

Embedded information displays (EIDs) are becoming increasingly ubiquitous on home appliances and devices such as microwaves, coffee machines, fridges, or digital thermostats. These…

cs.LG2024

Neural delay differential equations: learning non-Markovian closures for partially known dynamical systems

Thibault Monsel, Onofrio Semeraro, Lionel Mathelin +1

Recent advances in learning dynamical systems from data have shown significant promise. However, many existing methods assume access to the full state of the system -- an assumptio…

cs.FL2024★ 1 cited

The complexity of separability for semilinear sets and Parikh automata

Elias Rojas Collins, Chris Köcher, Georg Zetzsche

In a \emph{separability problem}, we are given two sets and from a class , and we want to decide whether there exists a set from a class such…

cs.GR2024★ 2 cited

The State of Reproducibility Stamps for Visualization Research Papers

Tobias Isenberg

I analyze the evolution of papers certified by the Graphics Replicability Stamp Initiative (GRSI) to be reproducible, with a specific focus on the subset of publications that addre…

cs.HC2024★ 1 cited

Envisioning Situated Visualizations of Environmental Footprints in an Urban Environment

Yvonne Jansen, Federica Bucchieri, Pierre Dragicevic +7

We present the results of a brainstorming exercise focused on how situated visualizations could be used to better understand the state of the environment and our personal behaviora…

cs.HC2024★ 2 cited

Reflections on Visualization in Motion for Fitness Trackers

Alaul Islam, Lijie Yao, Anastasia Bezerianos +5

In this paper, we reflect on our past work towards understanding how to design visualizations for fitness trackers that are used in motion. We have coined the term "visualization i…

cs.AI2024

Neurosymbolic Methods for Dynamic Knowledge Graphs

Mehwish Alam, Genet Asefa Gesese, Pierre-Henri Paris

Knowledge graphs (KGs) have recently been used for many tools and applications, making them rich resources in structured format. However, in the real world, KGs grow due to the add…

cs.DM2024

Decision problems on geometric tilings

Benjamin Hellouin de Menibus, Victor Lutfalla, Pascal Vanier

We study decision problems on geometric tilings. First, we study a variant of the Domino problem where square tiles are replaced by geometric tiles of arbitrary shape. We show that…

cs.FL2024

Subshifts defined by nondeterministic and alternating plane-walking automata

Benjamin Hellouin de Menibus, Pacôme Perrotin

Plane-walking automata were introduced by Salo & Törma to recognise languages of two-dimensional infinite words (subshifts), the counterpart of -way finite automata for two-dime…

cs.LG2024

Alleviating Over-Smoothing via Aggregation over Compact Manifolds

Dongzhuoran Zhou, Hui Yang, Bo Xiong +2

Graph neural networks (GNNs) have achieved significant success in various applications. Most GNNs learn the node features with information aggregation of its neighbors and feature…

cs.DS2024★ 1 cited

Canadian Traveller Problems in Temporal Graphs

Thomas Bellitto, Johanne Cohen, Bruno Escoffier +2

This paper formalises the Canadian Traveller problem as a positional two-player game on graphs. We consider two variants depending on whether an edge is blocked. In the locally-inf…

cs.HC2024★ 19 cited

PREVis: Perceived Readability Evaluation for Visualizations

Anne-Flore Cabouat, Tingying He, Petra Isenberg +1

We developed and validated an instrument to measure the perceived readability in data visualization: PREVis. Researchers and practitioners can easily use this instrument as part of…

cs.HC2024★ 16 cited

SpatialTouch: Exploring Spatial Data Visualizations in Cross-reality

Lixiang Zhao, Tobias Isenberg, Fuqi Xie +2

We propose and study a novel cross-reality environment that seamlessly integrates a monoscopic 2D surface (an interactive screen with touch and pen input) with a stereoscopic 3D sp…

cs.IR2024★ 11 cited

The Language of Infographics: Toward Understanding Conceptual Metaphor Use in Scientific Storytelling

Hana Pokojná, Tobias Isenberg, Stefan Bruckner +2

We apply an approach from cognitive linguistics by mapping Conceptual Metaphor Theory (CMT) to the visualization domain to address patterns of visual conceptual metaphors that are…

q-bio.GN2024★ 3 cited

Interpreting artificial neural networks to detect genome-wide association signals for complex traits

Burak Yelmen, Maris Alver, Merve Nur Güler +3

Investigating the genetic architecture of complex diseases is challenging due to the multifactorial and interactive landscape of genomic and environmental influences. Although geno…