Kayhan Behdin

According to our database1, Kayhan Behdin authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization.
CoRR, 2024

2023
End-to-end Feature Selection Approach for Learning Skinny Trees.
CoRR, 2023

QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm.
CoRR, 2023

Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives.
CoRR, 2023

Sharpness-Aware Minimization: An Implicit Regularization Perspective.
CoRR, 2023

mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization.
CoRR, 2023

GRAND-SLAMIN' Interpretable Additive Modeling with Structural Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization.
CoRR, 2022

2021
Archetypal Analysis for Sparse Nonnegative Matrix Factorization: Robustness Under Misspecification.
CoRR, 2021

2020
Missing Low-Rank and Sparse Decomposition Based on Smoothed Nuclear Norm.
IEEE Trans. Circuits Syst. Video Technol., 2020

Transductive multi-label learning from missing data using smoothed rank function.
Pattern Anal. Appl., 2020

2018
Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method.
CoRR, 2018

Transduction with Matrix Completion Using Smoothed Rank Function.
CoRR, 2018

2017
OBTAIN: Real-Time Beat Tracking in Audio Signals.
CoRR, 2017


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