Karim Tit

According to our database1, Karim Tit authored at least 9 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Constraint-Guided Prediction Refinement via Deterministic Diffusion Trajectories.
CoRR, June, 2025

KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections.
CoRR, June, 2025

TRIDENT: Temporally Restricted Inference via DFA-Enhanced Neural Traversal.
CoRR, June, 2025

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses.
CoRR, June, 2025

2024
Reliability of Deep Learning with Rare Event Simulation :Theory and Practice. (Fiabilité du Deep Learning avec simulation d'événements rares :théorie et pratique).
PhD thesis, 2024

Fast Reliability Estimation for Neural Networks with Adversarial Attack-Driven Importance Sampling.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023
Three Bricks to Consolidate Watermarks for Large Language Models.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

Gradient-Informed Neural Network Statistical Robustness Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021
Efficient Statistical Assessment of Neural Network Corruption Robustness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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