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Information Processing and Communication Laboratory - LTCI
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By team
ACES - Autonomic and Critical Embedded Systems
C2 - Cybersecurity et Cryptography
C2S - Circuits and Communications Systems
MIC - Mathematics of Information & Communication
DIG - Data, Intelligence and Graphs
DIVA - Design, Interaction, Vizualization and Applications
GTO - Optical Telecommunications
IMAGES - Image, Modeling, Analysis, GEométry, Synthesis
QTY - Quriosity
LabSoC - System on Chip
MM - Multimedia
RFM2 - Radio Frequency, Microwaves and Millimeter Waves
RMS - Networks, Mobility and Services
S2A - Signal, Statistics and Learning
SSH - Secure and Safe Hardware
By discipline
All publications
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Latest publications
Mehwish Alam, Genet Asefa Gesese, Pierre-Henri Paris. Neurosymbolic Methods for Dynamic Knowledge Graphs.
Handbook on Neurosymbolic Artificial Intelligence
, In press.
⟨hal-04792151⟩
Andrea Gurioli, Maurizio Gabbrielli, Stefano Zacchiroli. Is This You, LLM? Recognizing AI-written Programs with Multilingual Code Stylometry.
IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2025
, Mar 2025, Montréal, Canada.
⟨hal-04845581⟩
Johannes Mäkelburg, Yiwen Peng, Mehwish Alam, Tobias Weller, Maribel Acosta. Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs.
International Conference on Agents and Artificial Intelligence (ICAART 2025)
, Feb 2025, Porto, Portugal.
⟨hal-04837417⟩
Laure Coutin, Laurent Decreusefond. Invertibility of functionals of the Poisson process and applications.
Annals of Probability
, In press.
⟨hal-04153437v2⟩
Robin Héron, Stéphane Safin, Michael J Baker, Zhuoming Zhang, Eric Lecolinet, et al.. Touching at a distance: the elaboration of communicative functions from the perspective of the interactants.
Frontiers in Psychology
, 2024, 15,
⟨10.3389/fpsyg.2024.1497289⟩
.
⟨hal-04846977⟩
Mostafa Cherif, Tobías I. Liaudat, Jonathan Kern, Christophe Kervazo, Jérôme Bobin. Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry.
NEURIPS 2024 ML4PS : Machine Learning and the Physical Sciences Workshop
, Dec 2024, Vancouver, Canada.
⟨hal-04767562⟩
Bruno Costacèque-Cecchi. Stein's method for extreme value distributions. Probability [math.PR]. Institut Polytechnique de Paris, 2024. English.
⟨NNT : 2024IPPAT045⟩
.
⟨tel-04874813⟩
Scott Pesme, Radu-Alexandru Dragomir, Nicolas Flammarion. Implicit Bias of Mirror Flow on Separable Data.
NeurIPS 2024 : The 38th Annual Conference on Neural Information Processing Systems
, Dec 2024, Vancouver, Canada.
⟨hal-04807077⟩
David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, et al.. Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing.
NeurIPS 2024 : 38th Conference on Neural Information Processing Systems
, Dec 2024, Vancouver, Canada.
⟨hal-04762097⟩
Diana Marin, Amal Dev Parakkat, Stefan Ohrhallinger, Michael Wimmer, Steve Oudot, et al.. SING: Stability-Incorporated Neighborhood Graph.
SA 2024 - The 17th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia
, Dec 2024, Tokyo, Japan. pp.1-10,
⟨10.1145/3680528.3687674⟩
.
⟨hal-04820002⟩
Keywords
Cooperation
EEG
Apprentissage automatique
Sensors
Image processing
SAR
Scheduling
Mathematical morphology
Optical feedback
Design
Interaction
Privacy
Computational modeling
Signal processing
Authentication
Audio source separation
Visualization
Malliavin calculus
Safety
Modélisation
Segmentation
Conversation
5G
Optimization
Receivers
Consensus
Predictive models
Machine learning
Explainability
Sécurité
Optimisation
Data streams
Nonnegative matrix factorization
Deep learning
Game theory
Cryptography
Evolution
Apprentissage statistique
FPGA
Neural networks
Detection
Data models
Deep Learning
Communication
Antennas
Clustering
Computer architecture
Inverse problems
MIMO
Estimation
Blockchain
Change detection
Propagation
Compression
Natural language processing
Internet of Things
Denoising
Scalability
Resource allocation
Statistical learning
Apprentissage profond
Architecture
Beamforming
Convex optimization
Non-negative matrix factorization
Cognition
Side-channel analysis
Interference
Optimal transport
Side-channel attacks
Language
Mobilité
Source separation
Anomaly detection
Complexity
Artificial intelligence
Performance
Internet
SysML
Hardware
Classification
Task analysis
HEVC
Reliability
Stochastic geometry
Stability
Semiconductor lasers
Robustness
Embedded systems
Machine Learning
Entropy
Adaptation models
Real-time systems
Feature extraction
Coherent detection
Unsupervised learning
Simulation
Training
Security
IoT
Number of fulltext
5 097
Number of references
6 351
Open access
52 %
Collaborations per country