output
20202026
most citedExplainable deep learning for insights in El Niño and river flows

48 citations

10 papers

cs.DB2026

Enabling Differentiated QoS Degradation for Replicated Databases under Failures

Belkis Djeffal, Pierre Bourhis, Romain Rouvoy

Elasticity is commonly presented as the default response to capacity loss after failures, since replacement replicas can compensate for failed nodes and restore pre-incident servic…

cs.SE2026

Imperfect Visual Verification for Code Edition : A Case Study on TikZ

Charly Reux, Mathieu Acher, Djamel Eddine Khelladi +2

LLMs have significantly advanced code generation, enabling the synthesis of functional programs. While recent systems achieve strong performance on many coding benchmarks, tasks in…

cs.DS2025

INTACT: Compact Storage of Data Streams in Mobile Devices to Unlock User Privacy at the Edge

Rémy Raes, Olivier Ruas, Adrien Luxey-Bitri +1

Data streams produced by mobile devices, such as smartphones, offer highly valuable sources of information to build ubiquitous services. Such data streams are generally uploaded an…

cs.SE2025

LLM Code Customization with Visual Results: A Benchmark on TikZ

Charly Reux, Mathieu Acher, Djamel Eddine Khelladi +2

With the rise of AI-based code generation, customizing existing code out of natural language instructions to modify visual results -such as figures or images -has become possible,…

cs.SE2025★ 2 cited

Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions

Keita Teranishi, Harshitha Menon, William F. Godoy +25

We discuss the challenges and propose research directions for using AI to revolutionize the development of high-performance computing (HPC) software. AI technologies, in particular…

cs.SE2025

What Happened in This Pipeline? Diffing Build Logs with CiDiff

Nicolas Hubner, Jean-Rémy Falleri, Raluca Uricaru +2

Continuous integration (CI) is widely used by developers to ensure the quality and reliability of their software projects. However, diagnosing a CI regression is a tedious process…

cs.HC2023

A critical review of mobile device-to-device communication

Lauric Desauw, Adrien Luxey-Bitri, Rémy Raes +3

Since the advent of mobile devices, both end-users and the IT industry have been longing for direct device-to-device (D2D) communication capabilities, expecting new kinds of intera…

cs.CY2023

Caught in the Game: On the History and Evolution of Web Browser Gaming

Naif Mehanna, Walter Rudametkin

Web browsers have come a long way since their inception, evolving from a simple means of displaying text documents over the network to complex software stacks with advanced graphic…

physics.ao-ph2022★ 48 cited

Explainable deep learning for insights in El Niño and river flows

Yumin Liu, Kate Duffy, Jennifer G. Dy +1

The El Niño Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea surface temperature (SST) over the tropical central and eastern Pacific Ocean that influences interann…

cs.DB2020

Cluster-and-Conquer: When Randomness Meets Graph Locality

George Giakkoupis, Anne-Marie Kermarrec, Olivier Ruas +1

K-Nearest-Neighbors (KNN) graphs are central to many emblematic data mining and machine-learning applications. Some of the most efficient KNN graph algorithms are incremental and l…