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Computer Sciences and Networks departement - INFRES
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Latest publications
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⟩
Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri. ASML: A Scalable and Efficient AutoML Solution for Data Streams.
AutoML 2024 - International Conference on Automated Machine Learning
, Sep 2024, Paris, France.
⟨hal-04581479v2⟩
Peter Brown, Hamza Fawzi, Omar Fawzi. Device-independent lower bounds on the conditional von Neumann entropy.
Quantum
, 2024, 8, pp.1445.
⟨10.22331/q-2024-08-27-1445⟩
.
⟨hal-03581631⟩
Keywords
Complexité
Cognition
Security
Evolution
C-ITS
Real-time systems
Hardware
Complexity
Computational modeling
Ethereum
Adaptation models
Optimization
AADL
Computer architecture
Simplicity
Cloud Computing
Costs
Stability
Stein method
Internet
Langage
Quality of service
Big Data
Graphs
Performance
Machine learning
Information
Interference
Évolution
Predictive models
Scalability
Emergence
Interaction techniques
Data streams
Apprentissage automatique
Conversation
Privacy
Data stream mining
Graph Theory
Concept drift
Visualization
Machine Learning
Unsupervised learning
Classification
Internet of Things
Attack Graphs
Machine learning algorithms
Intrication
Data science
Performance evaluation
Beamforming
Game theory
Homology
Entropy
Command selection
Communication
Servers
Mobility
Heuristic algorithms
Explainability
Argumentation
Data models
Classification algorithms
IoT
Cellular networks
Concept Drift
Smart Grids
Big data
Simulation
5G
Anomaly detection
Authentication
Smart home
Design
Consensus
Wireless sensor networks
Data stream
Stochastic geometry
Blockchain
NFV
Knowledge base
Cooperation
Malliavin calculus
Protocols
Training
Kolmogorov complexity
Fitts' law
Measurement
Language
Recommender systems
Graph theory
Spatial memory
Access control
Scheduling
Cloud computing
Relevance
Prediction algorithms
Cryptography
Balanced fairness
Clustering
Number of fulltext
1 060
Number of references
1 834
Open access
45 %
Collaborations per country