Lorenzo Noci
13 papers · 2021–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (26) π£ Hot Topic Early Bird π€ Dynamic Duo (11) β The Questioner
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(56)
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory Β· Machine Learning
(10)
Deep Learning
(8)
Architectures
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(3)
Bayesian & Probabilistic
(2)
Learning Types
(2)
Models
(2)
Optimization & Theory Β· Deep Learning
(2)
Core Methods
(1)
Techniques
(1)
Keywords
feature learning
(3)
data augmentation
(3)
bayesian neural network
(3)
neural network
(2)
cold posterior effect
(2)
catastrophic forgetting
(2)
transformer architecture
(2)
hyperparameter transfer
(1)
knowledge distillation
(1)
model quantization
(1)
attention mechanism
(1)
network architecture
(1)
continual learning
(1)
network dynamics
(1)
loss landscape
(1)
self-attention mechanism
(1)
neural network optimization
(1)
covariance matrix
(1)
model pruning
(1)
deep learning
(1)
Papers
The Importance of Being Lazy: Scaling Limits of Continual Learning
ICML 2025
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit
ICLR 2024
How Good is a Single Basin?
AISTATS 2024
Super Consistency of Neural Network Landscapes and Learning Rate Transfer
NeurIPS 2024
Understanding and Minimising Outlier Features in Transformer Training
NeurIPS 2024
Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning
CVPR 2023
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
NeurIPS 2023
The Curious Case of Benign Memorization
ICLR 2023
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit
NeurIPS 2023
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
ICML 2022
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
NeurIPS 2022
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
NeurIPS 2021
Precise characterization of the prior predictive distribution of deep ReLU networks
NeurIPS 2021