Tolga Ergen

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

Collaborative distances:

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

2020

Energy-Efficient LSTM Networks for Online Learning.

Tolga Ergen, Ali H. Mirza, Suleyman Serdar Kozat

IEEE Trans. Neural Networks Learn. Syst., 2020

Unsupervised Anomaly Detection With LSTM Neural Networks.

Tolga Ergen, Suleyman Serdar Kozat

IEEE Trans. Neural Networks Learn. Syst., 2020

A novel distributed anomaly detection algorithm based on support vector machines.

Tolga Ergen, Suleyman Serdar Kozat

Digit. Signal Process., 2020

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

Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci

CoRR, 2020

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

Tolga Ergen, Mert Pilanci

CoRR, 2020

Convex Geometry and Duality of Over-parameterized Neural Networks.

Tolga Ergen, Mert Pilanci

CoRR, 2020

Convex Duality of Deep Neural Networks.

Tolga Ergen, Mert Pilanci

CoRR, 2020

Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks.

Mert Pilanci, Tolga Ergen

Proceedings of the 37th International Conference on Machine Learning, 2020

Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models.

Tolga Ergen, Mert Pilanci

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Team-optimal online estimation of dynamic parameters over distributed tree networks.

Osman Fatih Kiliç, Tolga Ergen, Muhammed O. Sayin, Suleyman Serdar Kozat

Signal Process., 2019

Convex Optimization for Shallow Neural Networks.

Tolga Ergen, Mert Pilanci

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences.

Tolga Ergen, Suleyman Serdar Kozat

IEEE Trans. Neural Networks Learn. Syst., 2018

Efficient Online Learning Algorithms Based on LSTM Neural Networks.

Tolga Ergen, Suleyman Serdar Kozat

IEEE Trans. Neural Networks Learn. Syst., 2018

Recurrent neural networks based online learning algorithms for distributed systems.

Tolga Ergen, Safa Onur Sahin, Suleyman Serdar Kozat

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

A novel anomaly detection approach based on neural networks.

Tolga Ergen, Mine Kerpicci

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

A highly efficient recurrent neural network architecture for data regression.

Tolga Ergen, Emir Ceyani

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017

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

Tolga Ergen, Ali Hassan Mirza, Suleyman Serdar Kozat

CoRR, 2017

An efficient bandit algorithm for general weight assignments.

Kaan Gokcesu, Tolga Ergen, Selami Çiftçi, Suleyman Serdar Kozat

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Online distributed nonlinear regression via neural networks.

Tolga Ergen, Suleyman Serdar Kozat

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Neural networks based online learning.

Tolga Ergen, Suleyman Serdar Kozat

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Novelty detection using soft partitioning and hierarchical models.

Tolga Ergen, Kaan Gokcesu, Mustafa Simsek, Suleyman Serdar Kozat

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017