Tolga Ergen

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DISTRIBUTED LEARNING BASED ON RECURRENT NEURAL NETWORKS FOR BIG DATA APPLICATIONS

S. Kozat, Tolga Ergen, 2018 .

Sinir Ağları Temelli Özgün Ayrıklık Sezim Yöntemi A Novel Anomaly Detection Approach based on Neural Networks

Tolga Ergen, 2018 .

Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers

Mert Pilanci, M. Mardani, Arda Sahiner, 2022, ICML.

Convexifying Transformers: Improving optimization and understanding of transformer networks

Behnam Neyshabur, Harsh Mehta, Tolga Ergen, 2022, ArXiv.

Convex Neural Autoregressive Models: Towards Tractable, Expressive, and Theoretically-Backed Models for Sequential Forecasting and Generation

Mert Pilanci, Tolga Ergen, Burak Bartan, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convex Duality of Deep Neural Networks pdf

Mert Pilanci, Tolga Ergen, Mert Pilanci, 2020, ArXiv.

Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs

Mert Pilanci, Tolga Ergen, Mert Pilanci, 2021, ICML.

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

Mert Pilanci, Tolga Ergen, Mert Pilanci, 2020, AISTATS.

Convex Geometry and Duality of Over-parameterized Neural Networks pdf

Mert Pilanci, Tolga Ergen, Mert Pilanci, 2020, J. Mach. Learn. Res..

Revealing the Structure of Deep Neural Networks via Convex Duality

Mert Pilanci, Tolga Ergen, 2020, ICML.

Efficient Online Learning Algorithms Based on LSTM Neural Networks

Suleyman Serdar Kozat, Tolga Ergen, S. Kozat, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-Layer Networks pdf

Mert Pilanci, Tolga Ergen, Mert Pilanci, 2020, ICML.

Unsupervised Anomaly Detection With LSTM Neural Networks

Suleyman Serdar Kozat, Tolga Ergen, S. Kozat, 2017, IEEE Transactions on Neural Networks and Learning Systems.

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

Mert Pilanci, Tolga Ergen, John Pauly, 2020, ICLR.

VECTOR-OUTPUT RELU NEURAL NETWORK PROB-

Mert Pilanci, Arda Sahiner, J. Pauly, 2021 .

Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks pdf

Mert Pilanci, Tolga Ergen, Mert Pilanci, 2021, ArXiv.

Parallel Deep Neural Networks Have Zero Duality Gap

Mert Pilanci, Yifei Wang, Tolga Ergen, 2021, International Conference on Learning Representations.

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

Mert Pilanci, Tolga Ergen, Mert Pilanci, 2020, ArXiv.

Convex Optimization for Shallow Neural Networks

Mert Pilanci, Tolga Ergen, Mert Pilanci, 2019, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Globally Optimal Training of Neural Networks with Threshold Activation Functions

Halil Ibrahim Gulluk, Mert Pilanci, Tolga Ergen, 2023, ICLR.

Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions

Mert Pilanci, M. Mardani, Arda Sahiner, 2021, ICLR.

Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization pdf

Morteza Mardani, Mert Pilanci, Tolga Ergen, 2021, ICLR.

WORKS WITH THRESHOLD ACTIVATION FUNCTIONS

Halil Ibrahim Gulluk, Mert Pilanci, Tolga Ergen, 2023 .

H IDDEN C ONVEXITY OF W ASSERSTEIN GAN S : I NTERPRETABLE G ENERATIVE M ODELS WITH C LOSED -F ORM S OLUTIONS

Batu Ozturkler, Mert Pilanci, M. Mardani, 2022 .

Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time

Mert Pilanci, Tolga Ergen, Mert Pilanci, 2020, ICLR.

A novel distributed anomaly detection algorithm based on support vector machines

Suleyman Serdar Kozat, Tolga Ergen, S. Kozat, 2020, Digit. Signal Process..

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

Suleyman S. Kozat, Tolga Ergen, S. Kozat, 2017, IEEE Transactions on Neural Networks and Learning Systems.

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction

Christopher M. Sandino, Arjun D Desai, J. Pauly, 2022, ArXiv.

Greedy Learning for Large-Scale Neural MRI Reconstruction

Arjun D Desai, J. Pauly, Mert Pilanci, 2021 .

Unsupervised Anomaly Detection With LSTM Neural Networks

S. Kozat, Tolga Ergen, 2017, IEEE Transactions on Neural Networks and Learning Systems.

A novel anomaly detection approach based on neural networks

Tolga Ergen, Mine Kerpicci, Tolga Ergen, 2018, 2018 26th Signal Processing and Communications Applications Conference (SIU).

Novelty detection using soft partitioning and hierarchical models

Suleyman Serdar Kozat, Tolga Ergen, Kaan Gökcesu, 2017, 2017 25th Signal Processing and Communications Applications Conference (SIU).

Online distributed nonlinear regression via neural networks

Suleyman Serdar Kozat, Tolga Ergen, S. Kozat, 2017, 2017 25th Signal Processing and Communications Applications Conference (SIU).

Neural networks based online learning

Suleyman Serdar Kozat, Tolga Ergen, S. Kozat, 2017, 2017 25th Signal Processing and Communications Applications Conference (SIU).

Sinir A ˘gları ile Çevrimiçi Da ˘gıtılmı¸s Do ˘grusal Olmayan Ba ˘glanım Online Distributed Nonlinear Regression via Neural Networks

Tolga Ergen, S. Kozat, E. Elektronik, 2022 .

A Privacy Preserved Image-to-Image Translation Model in MRI: Distributed Learning of WGANs

Tolga Ergen, 2019 .