:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Emmanouilidis, Konstantinos, Ding, Tianjiao, Nguyen, Nghia, Loizou, Nicolas, Vidal, René
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.25352
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
by: Emmanouilidis, Konstantinos, et al.
Published: (2024)

Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification
by: Nguyen, Nghia, et al.
Published: (2026)

Certified Robustness against Sparse Adversarial Perturbations via Data Localization
by: Pal, Ambar, et al.
Published: (2024)

Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
by: Pal, Ambar, et al.
Published: (2023)

Revisiting Kernel Attention with Correlated Gaussian Process Representation
by: Bui, Long Minh, et al.
Published: (2025)

Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy
by: Liu, Huikang, et al.
Published: (2026)

Shuffling the Data, Stretching the Step-size: Sharper Bias in constant step-size SGD
by: Emmanouilidis, Konstantinos, et al.
Published: (2026)

SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
by: Hu, Jiaheng, et al.
Published: (2025)

Temporal Micro-Doppler Spectrogram-based ViT Multiclass Target Classification
by: Nguyen, Nghia Thinh, et al.
Published: (2025)

PaCE: Parsimonious Concept Engineering for Large Language Models
by: Luo, Jinqi, et al.
Published: (2024)

CEAR: Certified Ensemble Adversarial Robustness in DNNs
by: Sadig, Daniel, et al.
Published: (2026)

Certifying Global Robustness for Deep Neural Networks
by: Li, You, et al.
Published: (2024)

Lipschitz-aware Linearity Grafting for Certified Robustness
by: Han, Yongjin, et al.
Published: (2025)

Certifiably Byzantine-Robust Federated Conformal Prediction
by: Kang, Mintong, et al.
Published: (2024)

Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
by: Champion, Théophile, et al.
Published: (2024)

Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship
by: Nguyen, Nang Hung, et al.
Published: (2026)

Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
by: Nguyen-Nhat, Minh-Khoi, et al.
Published: (2025)

Mixture of Latent Experts Using Tensor Products
by: Su, Zhan, et al.
Published: (2024)

TopoPrune: Robust Data Pruning via Unified Latent Space Topology
by: Roy, Arjun, et al.
Published: (2026)

Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge
by: Gu, Chunhui, et al.
Published: (2025)

Certified Adversarial Robustness via Partition-based Randomized Smoothing
by: Goli, Hossein, et al.
Published: (2024)

Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts
by: Yan, Fanqi, et al.
Published: (2024)

LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models
by: Park, Taekhyun, et al.
Published: (2026)

Revisiting Multilingual Data Mixtures in Language Model Pretraining
by: Foroutan, Negar, et al.
Published: (2025)

Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
by: Li, Haoran, et al.
Published: (2025)

Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
by: Choudhury, Sayantan, et al.
Published: (2024)

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models
by: Nguyen, Duong, et al.
Published: (2026)

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
by: Nguyen, Duong M., et al.
Published: (2025)

RePCS: Diagnosing Data Memorization in LLM-Powered Retrieval-Augmented Generation
by: Anh, Le Vu, et al.
Published: (2025)

Robust Privacy: Inference-Time Privacy through Certified Robustness
by: Jin, Jiankai, et al.
Published: (2026)

Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
by: Wang, Yiqi, et al.
Published: (2025)

GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees
by: Shah, Arya, et al.
Published: (2026)

Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
by: Fazlyab, Mahyar, et al.
Published: (2023)

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
by: Gao, Weizhi, et al.
Published: (2024)

Certifiably Robust Policies for Uncertain Parametric Environments
by: Schnitzer, Yannik, et al.
Published: (2024)

Certified Robustness Under Bounded Levenshtein Distance
by: Rocamora, Elias Abad, et al.
Published: (2025)

Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces
by: Geissler, Daniel, et al.
Published: (2024)

Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training
by: Lys, Jonathan, et al.
Published: (2026)

Fine-Grained Graph Generation through Latent Mixture Scheduling
by: Vakil, Nidhi, et al.
Published: (2026)

Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction Between Feature Alignment and Target Fitting
by: Tran, Trong Khiem, et al.
Published: (2026)