Tolga Ergen

According to our database1, Tolga Ergen authored at least 21 papers between 2017 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Energy-Efficient LSTM Networks for Online Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Unsupervised Anomaly Detection With LSTM Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

A novel distributed anomaly detection algorithm based on support vector machines.
Digit. Signal Process., 2020

Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms.
CoRR, 2020

Training Convolutional ReLU Neural Networks in Polynomial Time: Exact Convex Optimization Formulations.
CoRR, 2020

Convex Geometry and Duality of Over-parameterized Neural Networks.
CoRR, 2020

Convex Duality of Deep Neural Networks.
CoRR, 2020

Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Team-optimal online estimation of dynamic parameters over distributed tree networks.
Signal Process., 2019

Convex Optimization for Shallow Neural Networks.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences.
IEEE Trans. Neural Networks Learn. Syst., 2018

Efficient Online Learning Algorithms Based on LSTM Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Recurrent neural networks based online learning algorithms for distributed systems.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

A novel anomaly detection approach based on neural networks.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

A highly efficient recurrent neural network architecture for data regression.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks.
CoRR, 2017

An efficient bandit algorithm for general weight assignments.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Online distributed nonlinear regression via neural networks.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Neural networks based online learning.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Novelty detection using soft partitioning and hierarchical models.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017


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