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Computer Sciences and Networks departement - INFRES
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Latest publications
Lihu Chen, Alexandre Perez-Lebel, Fabian Suchanek, Gaël Varoquaux. Reconfidencing LLM Uncertainty from the Grouping Loss Perspective.
EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing
, Nov 2024, Miami, United States.
⟨10.48550/arXiv.2402.04957⟩
.
⟨hal-04750567⟩
Badis Hammi, Joel Hachem, Ali Rachini, Rida Khatoun. Malware detection through windows system call analysis.
9th International Conference On Mobile And Secure Services (MOBISECSERV)
, Nov 2024, Miami, United States. pp.7.
⟨hal-04739413⟩
Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek. The Factuality of Large Language Models in the Legal Domain.
CIKM 2024 - 33rd ACM International Conference on Information and Knowledge Management
, Oct 2024, Boise Idaho, United States.
⟨hal-04701151⟩
Simon Delarue, Thomas Bonald, Tiphaine Viard. Link Prediction Without Learning.
European Conference on Artificial Intelligence
, Oct 2024, Santiago de compostela, Galicia, Spain.
⟨hal-04643971⟩
Clemens Nylandsted Klokmose, James R Eagan, Peter van Hardenberg. MyWebstrates: Webstrates as Local-first Software.
UIST '24: ACM Symposium on User Interface Software and Technology
, Oct 2024, Pittsburgh, Pennsylvania, United States.
⟨10.1145/3654777.3676445⟩
.
⟨hal-04700748⟩
Ferran Alborch Escobar, Sébastien Canard, Fabien Laguillaumie, Duong Hieu Phan. Computational Differential Privacy for Encrypted Databases Supporting Linear Queries.
Proceedings on Privacy Enhancing Technologies
, 2024, 2024 (4), pp.583-604.
⟨10.56553/popets-2024-0131⟩
.
⟨hal-04659467⟩
Yiwen Peng, Thomas Bonald, Mehwish Alam. Refining Wikidata Taxonomy using Large Language Models.
ACM International Conference on Information and Knowledge Management
, Oct 2024, Boise, Idaho, United States.
⟨10.1145/3627673.3679156⟩
.
⟨hal-04687258⟩
Moussa Amrani, Mittal Rakshit, Miguel Goulão, Vasco Amaral, Sylvain Guérin, et al.. A Survey of Federative Approaches for Model Management in MBSE.
1st International Workshop on Model Management (MoM) at MODELS 2024
, Sep 2024, Linz (AUSTRIA), Austria.
⟨10.1145/3652620.3688221⟩
.
⟨hal-04721128⟩
Cyril Chhun, Fabian M. Suchanek, Chloé Clavel. Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation.
Transactions of the Association for Computational Linguistics
, 2024, 12, pp.1122-1142.
⟨10.1162/tacl_a_00689⟩
.
⟨hal-04593961v2⟩
Yuan Yao, Filippo Miatto, Nicolás Quesada. Riemannian optimization of photonic quantum circuits in phase and Fock space.
SciPost Physics
, 2024,
⟨10.21468/SciPostPhys⟩
.
⟨hal-04701974⟩
Keywords
Authentication
Fitts' law
Consensus
Évolution
Simulation
Unsupervised learning
Knowledge base
Scalability
Access control
Interaction techniques
Langage
Graph Theory
Cognition
Big data
Mobility
Costs
Adaptation models
Internet
Security
Recommender systems
Stability
Cooperation
Simplicity
Concept Drift
Blockchain
Concept drift
Cryptography
Classification
Cloud computing
Intrication
Real-time systems
Command selection
Conversation
Relevance
Scheduling
Argumentation
Interference
Smart Grids
Data science
Entropy
Smart home
5G
Computer architecture
Hardware
Quality of service
Classification algorithms
Computational modeling
Complexity
Data stream
Spatial memory
Internet of Things
Apprentissage automatique
Training
Anomaly detection
Heuristic algorithms
Measurement
Visualization
Protocols
Servers
Machine learning algorithms
Machine Learning
Complexité
C-ITS
AADL
Attack Graphs
Performance evaluation
Information
Stein method
Design
IoT
Data streams
Explainability
Clustering
Data stream mining
Balanced fairness
Malliavin calculus
Cloud Computing
Communication
Predictive models
Language
Optimization
Big Data
Game theory
Cellular networks
Prediction algorithms
Wireless sensor networks
Graphs
Emergence
Beamforming
Stochastic geometry
Homology
Data models
NFV
Machine learning
Performance
Ethereum
Privacy
Kolmogorov complexity
Graph theory
Evolution
Number of fulltext
1 063
Number of references
1 838
Open access
45 %
Collaborations per country