99 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université Paris CitéFR24 papers
- Sorbonne Paris CitéFR11 papers
- LIP6FR10 papers
- Délégation Paris 5FR6 papers
- Université Paris DescartesFR6 papers
- University of Maryland, Baltimore CountyUS3 papers
- CEA Paris-SaclayFR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- École Normale Supérieure - PSLFR2 papers
- Électricité de France (France)FR2 papers
- FORTH Institute of Computer ScienceGR2 papers
- Google (United States)US2 papers
36 papers
SEAnet: A Deep Learning Architecture for Data Series Similarity Search
Qitong Wang, Themis Palpanas
A key operation for massive data series collection analysis is similarity search. According to recent studies, SAX-based indexes offer state-of-the-art performance for similarity s…
An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments and Analysis]
Duo Lu, Helena Caminal, Manos Chatzakis +4
Filtered Vector Search (FVS) is critical for supporting semantic search and GenAI applications in modern database systems. However, existing research most often evaluates algorithm…
Interpret, prune and distill Donut : towards lightweight VLMs for VQA on document
Adnan Ben Mansour, Ayoub Karine, David Naccache
Recent advances in Visually-rich Document Understanding rely on large Vision-Language Models like Donut, which perform document-level Visual Question Answering without Optical Char…
NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
Adrien Petralia, Philippe Charpentier, Youssef Kadhi +1
Millions of smart meters have been deployed worldwide, collecting the total power consumed by individual households. Based on these data, electricity suppliers offer their clients…
DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search
Manos Chatzakis, Yannis Papakonstantinou, Themis Palpanas
Approximate Nearest Neighbor Search (ANNS) presents an inherent tradeoff between performance and recall (i.e., result quality). Each ANNS algorithm provides its own algorithm-depen…
LeaFi: Data Series Indexes on Steroids with Learned Filters
Qitong Wang, Ioana Ileana, Themis Palpanas
The ever-growing collections of data series create a pressing need for efficient similarity search, which serves as the backbone for various analytics pipelines. Recent studies hav…
DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity Search
Zeyu Wang, Qitong Wang, Peng Wang +2
Data series indexes are necessary for managing and analyzing the increasing amounts of data series collections that are nowadays available. These indexes support both exact and app…
Can SAR improve RSVQA performance?
Lucrezia Tosato, Sylvain Lobry, Flora Weissgerber +1
Remote sensing visual question answering (RSVQA) has been involved in several research in recent years, leading to an increase in new methods. RSVQA automatically extracts informat…
DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search
Jiuqi Wei, Botao Peng, Xiaodong Lee +1
Locality-sensitive hashing (LSH) is a well-known solution for approximate nearest neighbor (ANN) search in high-dimensional spaces due to its robust theoretical guarantee on query…
Research Trends for the Interplay between Large Language Models and Knowledge Graphs
Hanieh Khorashadizadeh, Fatima Zahra Amara, Morteza Ezzabady +7
This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understan…
CompetEvo: Towards Morphological Evolution from Competition
Kangyao Huang, Di Guo, Xinyu Zhang +2
Training an agent to adapt to specific tasks through co-optimization of morphology and control has widely attracted attention. However, whether there exists an optimal configuratio…
I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation
Ayoub Karine, Thibault Napoléon, Maher Jridi
This paper proposes a new knowledge distillation method tailored for image semantic segmentation, termed Intra- and Inter-Class Knowledge Distillation (I2CKD). The focus of this me…
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov +4
Transformer-based architectures achieved breakthrough performance in natural language processing and computer vision, yet they remain inferior to simpler linear baselines in multiv…
Deep learning for classification of noisy QR codes
Rebecca Leygonie, Sylvain Lobry, ) +1
We wish to define the limits of a classical classification model based on deep learning when applied to abstract images, which do not represent visually identifiable objects.QR cod…
Appliance Detection Using Very Low-Frequency Smart Meter Time Series
Adrien Petralia, Philippe Charpentier, Paul Boniol +1
In recent years, smart meters have been widely adopted by electricity suppliers to improve the management of the smart grid system. These meters usually collect energy consumption…
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series
Paul Boniol, Themis Palpanas
Subsequence anomaly detection in long sequences is an important problem with applications in a wide range of domains. However, the approaches proposed so far in the literature have…
Learning an Adaptation Function to Assess Image Visual Similarities
Olivier Risser-Maroix, Amine Marzouki, Hala Djeghim +2
Human perception is routinely assessing the similarity between images, both for decision making and creative thinking. But the underlying cognitive process is not really well under…
Design and Results of ICCMA 2021
Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly +1
Since 2015, the International Competition on Computational Models of Argumentation (ICCMA) provides a systematic comparison of the different algorithms for solving some classical r…
Cleaning Inconsistent Data in Temporal DL-Lite Under Best Repair Semantics
Mourad Ouziri, Sabiha Tahrat, Salima Benbernou +1
In this paper, we address the problem of handling inconsistent data in Temporal Description Logic (TDL) knowledge bases. Considering the data part of the Knowledge Base as the sour…
Local Pair and Bundle Discovery over Co-Evolving Time Series
Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas +3
Time series exploration and mining has many applications across several industrial and scientific domains. In this paper, we consider the problem of detecting locally similar pairs…
ParIS+: Data Series Indexing on Multi-Core Architectures
Botao Peng, Panagiota Fatourou, Themis Palpanas
Data series similarity search is a core operation for several data series analysis applications across many different domains. Nevertheless, even state-of-the-art techniques cannot…
Driving Path Stability in VANETs
Mohammed Laroui, Akrem Sellami, Boubakr Nour +3
Vehicular Ad Hoc Network has attracted both research and industrial community due to its benefits in facilitating human life and enhancing the security and comfort. However, variou…
Tracking in Order to Recover: Detectable Recovery of Lock-Free Data Structures
Hagit Attiya, Ohad Ben-Baruch, Panagiota Fatourou +2
This paper presents the tracking approach for deriving detectably recoverable (and thus also durable) implementations of many widely-used concurrent data structures. Such data stru…
MGP: Un algorithme de planification temps réel prenant en compte l'évolution dynamique du but
Damien Pellier, Mickaël Vanneufville, Humbert Fiorino +2
Devising intelligent robots or agents that interact with humans is a major challenge for artificial intelligence. In such contexts, agents must constantly adapt their decisions acc…