Cristian Pérez-Corral

Orcid: 0009-0006-4616-1960

According to our database1, Cristian Pérez-Corral authored at least 13 papers between 2025 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Detecting Atypical Clients in Federated Learning via Representation-Level Divergence.
CoRR, May, 2026

StableGrad: Backward Scale Control without Batch Normalization.
CoRR, May, 2026

FedOUI: OUI-Guided Client Weighting for Federated Aggregation.
CoRR, May, 2026

OUI as a Structural Observable: Towards an Activation-Centric View of Neural Network Training.
CoRR, May, 2026

OUIDecay: Adaptive Layer-wise Weight Decay for CNNs Using Online Activation Patterns.
CoRR, May, 2026

Refresh-Scaling the Memory of Balanced Adam.
CoRR, May, 2026

FedSQ: Optimized Weight Averaging via Fixed Gating.
CoRR, April, 2026

λ-GELU: Learning Gating Hardness for Controlled ReLU-ization in Deep Networks.
CoRR, March, 2026

When Learning Rates Go Wrong: Early Structural Signals in PPO Actor-Critic.
CoRR, March, 2026

Regime Change Hypothesis: Foundations for Decoupled Dynamics in Neural Network Training.
CoRR, February, 2026

Why Adam Works Better with β<sub>1</sub> = β<sub>2</sub>: The Missing Gradient Scale Invariance Principle.
CoRR, January, 2026

2025
GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling.
CoRR, October, 2025

From domain-landmark graph learning to problem-landmark graph generation.
CoRR, September, 2025


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