Yoni Choukroun

According to our database, Yoni Choukroun authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adaptive Consensus Gradients Aggregation for Scaled Distributed Training.

Yoni Choukroun, Shlomi Azoulay, Pavel Kisilev

CoRR, 2024

Accelerating Error Correction Code Transformers.

Matan Levy, Yoni Choukroun, Lior Wolf

CoRR, 2024

Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding.

Yoni Choukroun, Lior Wolf

CoRR, 2024

Learning Linear Block Error Correction Codes.

Yoni Choukroun, Lior Wolf

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Foundation Model for Error Correction Codes.

Yoni Choukroun, Lior Wolf

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Deep Quantum Error Correction.

Yoni Choukroun, Lior Wolf

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reconstructing the Hemodynamic Response Function via a Bimodal Transformer.

Yoni Choukroun, Lior Golgher, Pablo Blinder, Lior Wolf

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Denoising Diffusion Error Correction Codes.

Yoni Choukroun, Lior Wolf

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Error Correction Code Transformer.

Yoni Choukroun, Lior Wolf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Geometric Transformer for End-to-End Molecule Properties Prediction.

Yoni Choukroun, Lior Wolf

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Meta Subspace Optimization.

Yoni Choukroun, Michael Katz

CoRR, 2021

2020

Hamiltonian Operator for Spectral Shape Analysis.

Yoni Choukroun, Alon Shtern, Alexander M. Bronstein, Ron Kimmel

IEEE Trans. Vis. Comput. Graph., 2020

Primal-Dual Sequential Subspace Optimization for Saddle-point Problems.

Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev

CoRR, 2020

2019

Low-bit Quantization of Neural Networks for Efficient Inference.

Yoni Choukroun, Eli Kravchik, Pavel Kisilev

CoRR, 2019

Low-bit Quantization of Neural Networks for Efficient Inference.

Yoni Choukroun, Eli Kravchik, Fan Yang, Pavel Kisilev

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Sparse Approximation of 3D Meshes Using the Spectral Geometry of the Hamiltonian Operator.

Yoni Choukroun, Gautam Pai, Ron Kimmel

J. Math. Imaging Vis., 2018

Deep Discriminative Latent Space for Clustering.

Elad Tzoreff, Olga Kogan, Yoni Choukroun

CoRR, 2018

Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach.

Amir Bennatan, Yoni Choukroun, Pavel Kisilev

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network.

Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev

Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

Schrödinger Operator for Sparse Approximation of 3D Meshes.

Yoni Choukroun, Gautam Pai, Ron Kimmel

Proceedings of the 15th Eurographics Symposium on Geometry Processing, 2017

2016

Elliptic operator for shape analysis.

Yoni Choukroun, Alon Shtern, Ron Kimmel

CoRR, 2016

Consistent Discretization and Minimization of the L1 Norm on Manifolds.

Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, Matan Sela

Proceedings of the Fourth International Conference on 3D Vision, 2016