Gabriele Perugini
Model Architectures · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Model Architectures — 5 citations into it
Whom Gabriele Perugini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Gabriele Perugini's perspective
Ordered by how strongly the researchers Gabriele Perugini trusts endorse each paper. Same corpus, a different order for every researcher.
- Densely Connected Convolutional Networks
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- Bayesian Learning via Stochastic Gradient Langevin Dynamics
- Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
- Deep learning with Elastic Averaging SGD
- Information, Physics, and Computation
- The space of interactions in neural network models
- Spin Glass Theory And Beyond: An Introduction To The Replica Method And Its Applications
- Statistical Mechanics of Learning
- Optimal storage properties of neural network models
Their papers
- Entropic gradient descent algorithms and wide flat minima (2020) — 40 citations