Luca Antiga
Artificial Intelligence · 2008–2021
A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 72 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #23,602 of 35,345 by trust here, #582 by citations
- Computer Vision and Pattern Recognition — 31 citations into it
- Computer Graphics and Computer-Aided Design — 8 citations into it
Whom Luca Antiga trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Luca Antiga overall
- Alejandro Torres-S'anchez
- Sebastian Hofstätter
- Da-Wei Zhou
- Timo Schick
- Ali Ayub
- Sewon Min
- Yoshua Bengio
- Daniel Millán
Papers from Luca Antiga's perspective
Ordered by how strongly the researchers Luca Antiga trusts endorse each paper. Same corpus, a different order for every researcher.
- The power crust
- A signal processing approach to fair surface design
- Level Set Methods and Fast Marching Methods
- Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity (IEEE Transactions on Medical Imaging)
- cuDNN: Efficient Primitives for Deep Learning
- Automatic differentiation in PyTorch
- Torch7: A Matlab-like Environment for Machine Learning
- Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- Caffe: Convolutional Architecture for Fast Feature Embedding
Their papers
- PyTorch: An Imperative Style, High-Performance Deep Learning Library (2019) — 53,912 citations
- Avalanche: an End-to-End Library for Continual Learning (2021) — 219 citations
- Automatic differentiation in PyTorch (2017) — 16,222 citations
- A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms (2009) — 374 citations
- An image-based modeling framework for patient-specific computational hemodynamics (2008) — 875 citations