50 citations · 76 across the 10 of their papers we have counts for
14 papers
Geant4 simulation model of electromagnetic processes in oriented crystals for accelerator physics
Alexei Sytov, Laura Bandiera, Kihyeon Cho +8
Electromagnetic processes of charged particles interaction with oriented crystals provide a wide variety of innovative applications such as beam steering, crystal-based extraction/…
A step towards treatment planning for microbeam radiation therapy: fast peak and valley dose predictions with 3D U-Nets
Florian Mentzel, Micah Barnes, Kevin Kröninger +9
Fast and accurate dose predictions are one of the bottlenecks in treatment planning for microbeam radiation therapy (MRT). In this paper, we propose a machine learning (ML) model b…
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov +1
The dependency of the generalization error of neural networks on model and dataset size is of critical importance both in practice and for understanding the theory of neural networ…
High-Level Perceptual Similarity is Enabled by Learning Diverse Tasks
Amir Rosenfeld, Richard Zemel, John K. Tsotsos
Predicting human perceptual similarity is a challenging subject of ongoing research. The visual process underlying this aspect of human vision is thought to employ multiple differe…
Totally Looks Like - How Humans Compare, Compared to Machines
Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos
Perceptual judgment of image similarity by humans relies on rich internal representations ranging from low-level features to high-level concepts, scene properties and even cultural…
Bridging Cognitive Programs and Machine Learning
Amir Rosenfeld, John K. Tsotsos
While great advances are made in pattern recognition and machine learning, the successes of such fields remain restricted to narrow applications and seem to break down when trainin…
Challenging Images For Minds and Machines
Amir Rosenfeld, John K. Tsotsos
There is no denying the tremendous leap in the performance of machine learning methods in the past half-decade. Some might even say that specific sub-fields in pattern recognition,…
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld, John K. Tsotsos
Training deep neural networks results in strong learned representations that show good generalization capabilities. In most cases, training involves iterative modification of all w…
Priming Neural Networks
Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos
Visual priming is known to affect the human visual system to allow detection of scene elements, even those that may have been near unnoticeable before, such as the presence of camo…
Incremental Learning Through Deep Adaptation
Amir Rosenfeld, John K. Tsotsos
Given an existing trained neural network, it is often desirable to learn new capabilities without hindering performance of those already learned. Existing approaches either learn s…
Action Classification via Concepts and Attributes
Amir Rosenfeld, Shimon Ullman
Classes in natural images tend to follow long tail distributions. This is problematic when there are insufficient training examples for rare classes. This effect is emphasized in c…
Visual Concept Recognition and Localization via Iterative Introspection
Amir Rosenfeld, Shimon Ullman
Convolutional neural networks have been shown to develop internal representations, which correspond closely to semantically meaningful objects and parts, although trained solely on…
Face-space Action Recognition by Face-Object Interactions
Amir Rosenfeld, Shimon Ullman
Action recognition in still images has seen major improvement in recent years due to advances in human pose estimation, object recognition and stronger feature representations. How…
Hand-Object Interaction and Precise Localization in Transitive Action Recognition
Amir Rosenfeld, Shimon Ullman
Action recognition in still images has seen major improvement in recent years due to advances in human pose estimation, object recognition and stronger feature representations prod…