:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Filippou, Georgios, Quach, Boi Mai, Lenghel, Diana, White, Arthur, Jha, Ashish Kumar
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2512.21211
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Step-resolved data attribution for looped transformers
par: Kaissis, Georgios, et autres
Publié: (2026)

SAGE: Streaming Agreement-Driven Gradient Sketches for Representative Subset Selection
par: Jha, Ashish, et autres
Publié: (2025)

Data augmentation on-the-fly and active learning in data stream classification
par: Malialis, Kleanthis, et autres
Publié: (2022)

Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning
par: Erden, Zeki Doruk, et autres
Publié: (2024)

Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models
par: Erden, Zeki Doruk, et autres
Publié: (2025)

A Proposal for Networks Capable of Continual Learning
par: Erden, Zeki Doruk, et autres
Publié: (2025)

VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition
par: Khisa, Soham, et autres
Publié: (2025)

Spectral Representation for Causal Estimation with Hidden Confounders
par: Sun, Haotian, et autres
Publié: (2024)

Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
par: Rokvic, Ljubomir, et autres
Publié: (2025)

DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing
par: Saha, Utsab, et autres
Publié: (2024)

SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks
par: Malialis, Kleanthis, et autres
Publié: (2025)

Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
par: Erden, Zeki Doruk, et autres
Publié: (2025)

Foundations of a Developmental Design Paradigm for Integrated Continual Learning, Deliberative Behavior, and Comprehensibility
par: Erden, Zeki Doruk, et autres
Publié: (2025)

Data-driven Reachable Set Estimation with Tunable Adversarial and Wasserstein Distributional Guarantees
par: Pantazis, Georgios, et autres
Publié: (2026)

Probably Approximately Correct Causal Discovery
par: Wei, Mian, et autres
Publié: (2025)

Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
par: Erden, Zeki Doruk, et autres
Publié: (2025)

Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption
par: Chen, Weilin, et autres
Publié: (2025)

Fine-Tuning without Performance Degradation
par: Wang, Han, et autres
Publié: (2025)

Market-Driven Subset Selection for Budgeted Training
par: Jha, Ashish, et autres
Publié: (2025)

On the Parallels Between Evolutionary Theory and the State of AI
par: Erden, Zeki Doruk, et autres
Publié: (2025)

A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
par: Pham, Khiem, et autres
Publié: (2023)

Visually grounded emotion regulation via diffusion models and user-driven reappraisal
par: Pinzuti, Edoardo, et autres
Publié: (2025)

Causally-Guided Pairwise Transformer -- Towards Foundational Digital Twins in Process Industry
par: Mayr, Michael, et autres
Publié: (2025)

Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective
par: Mai, Sijie, et autres
Publié: (2026)

Modularity aided consistent attributed graph clustering via coarsening
par: Bhatia, Samarth, et autres
Publié: (2024)

Causal Posterior Estimation
par: Dirmeier, Simon, et autres
Publié: (2025)

Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data
par: Neal, Mackenzie R., et autres
Publié: (2026)

LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
par: Rokvic, Ljubomir, et autres
Publié: (2022)

A Random Matrix Theory Perspective on the Learning Dynamics of Multi-head Latent Attention
par: Jha, Nandan Kumar, et autres
Publié: (2025)

NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks
par: Jha, Nandan Kumar, et autres
Publié: (2026)

Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws
par: Jha, Nandan Kumar, et autres
Publié: (2026)

Data-driven transport modelling without overfit
par: Vanya, Peter, et autres
Publié: (2026)

No Generation without Representation: Efficient Causal Protein Language Models Enable Zero-Shot Fitness Estimation
par: Eris, Furkan
Publié: (2026)

Extremal Contours: Gradient-driven contours for compact visual attribution
par: Karimzadeh, Reza, et autres
Publié: (2025)

Dynamic Causal Structure Discovery and Causal Effect Estimation
par: Wang, Jianian, et autres
Publié: (2025)

Interventional Processes for Causal Uncertainty Quantification
par: Dance, Hugh, et autres
Publié: (2024)

Controlled Causal Hallucinations Can Estimate Phantom Nodes in Multiexpert Mixtures of Fuzzy Cognitive Maps
par: Panda, Akash Kumar, et autres
Publié: (2024)

Quantum entanglement provides a competitive advantage in adversarial games
par: Wang, Peiyong, et autres
Publié: (2026)

Local Causal Discovery for Estimating Causal Effects
par: Gupta, Shantanu, et autres
Publié: (2023)

GRAFT: Gradient-Aware Fast MaxVol Technique for Dynamic Data Sampling
par: Jha, Ashish, et autres
Publié: (2025)