:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Bozyigit, Berke Deniz
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.19344
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding Representation Learnability of Nonlinear Self-Supervised Learning
by: Yang, Ruofeng, et al.
Published: (2024)

Artificial Kuramoto Oscillatory Neurons
by: Miyato, Takeru, et al.
Published: (2024)

Learnable Privacy Neurons Localization in Language Models
by: Chen, Ruizhe, et al.
Published: (2024)

Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
by: Wani, Farooq Ahmad, et al.
Published: (2023)

Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
by: Westerhoff, Justus, et al.
Published: (2025)

Quantum-Enhanced Multi-Task Learning with Learnable Weighting for Pharmacokinetic and Toxicity Prediction
by: Zhang, Han, et al.
Published: (2025)

Rethinking Time Encoding via Learnable Transformation Functions
by: Chen, Xi, et al.
Published: (2025)

Rethinking the Function of Neurons in KANs
by: Altarabichi, Mohammed Ghaith
Published: (2024)

Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
by: Fang, Xingli, et al.
Published: (2026)

Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
by: Kopko, Jakub, et al.
Published: (2025)

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients
by: Zhou, Feifan, et al.
Published: (2026)

Beyond the Kolmogorov Barrier: A Learnable Weighted Hybrid Autoencoder for Model Order Reduction
by: Somasekharan, Nithin, et al.
Published: (2024)

WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference
by: Chen, Sihan, et al.
Published: (2025)

Robust Decision Aggregation with Adversarial Experts
by: Guo, Yongkang, et al.
Published: (2024)

Generalised Linear Models in Deep Bayesian RL with Learnable Basis Functions
by: You, Jingyang, et al.
Published: (2025)

Le Cam Distortion: A Decision-Theoretic Framework for Robust Transfer Learning
by: Akdemir, Deniz
Published: (2025)

On the Identifiability of Nonlinear ICA: Sparsity and Beyond
by: Zheng, Yujia, et al.
Published: (2022)

Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation
by: Ranaweera, Kanishka, et al.
Published: (2025)

Is Data Valuation Learnable and Interpretable?
by: Wu, Ou, et al.
Published: (2024)

No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks
by: Fan, Feng-Lei, et al.
Published: (2024)

Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning
by: Cheng, Jie, et al.
Published: (2025)

LAPLEX: The FFT of Learnable Laplace Kernels
by: Struski, Łukasz, et al.
Published: (2026)

Fully Learnable Neural Reward Machines
by: Dewidar, Hazem, et al.
Published: (2025)

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics
by: Ugurlar, Kaan Berke, et al.
Published: (2025)

Decentralized Ranking Aggregation via Gossip: Convergence and Robustness
by: Caillec, Kerrian Le, et al.
Published: (2026)

Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
by: Cajaraville-Aboy, Diego, et al.
Published: (2024)

Artificial Geographically Weighted Neural Network: A Novel Framework for Spatial Analysis with Geographically Weighted Layers
by: Cao, Jianfei, et al.
Published: (2025)

Byzantine-Robust Federated Learning with Learnable Aggregation Weights
by: Parsa, Javad, et al.
Published: (2025)

Over-the-Air Federated Learning via Weighted Aggregation
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)

Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs
by: Yan, Hao, et al.
Published: (2026)

Efficient Modular Learning through Naive LoRA Summation: Leveraging Orthogonality in High-Dimensional Models
by: Cao, Zhanhao, et al.
Published: (2025)

Beyond Linearity in Attention Projections: The Case for Nonlinear Queries
by: Karbevski, Marko
Published: (2026)

FLAIN: Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons
by: Ding, Binbin, et al.
Published: (2024)

Federated Majorize-Minimization: Beyond Parameter Aggregation
by: Dieuleveut, Aymeric, et al.
Published: (2025)

Learnable Chernoff Baselines for Inference-Time Alignment
by: Madhow, Sunil, et al.
Published: (2026)

A Learnability Analysis on Neuro-Symbolic Learning
by: He, Hao-Yuan, et al.
Published: (2025)

On the Regularization of Learnable Embeddings for Time Series Forecasting
by: Butera, Luca, et al.
Published: (2024)

Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning
by: Muzaffar, Junaid, et al.
Published: (2025)

NeuronSeek: On Stability and Expressivity of Task-driven Neurons
by: Pei, Hanyu, et al.
Published: (2025)

Didactic to Constructive: Turning Expert Solutions into Learnable Reasoning
by: Mendes, Ethan, et al.
Published: (2026)