Eser Aygün
Cited by
Cited by
The option keyboard: Combining skills in reinforcement learning
A Barreto, D Borsa, S Hou, G Comanici, E Aygün, P Hamel, D Toyama, ...
Advances in Neural Information Processing Systems 32, 2019
Learning to cooperate: Emergent communication in multi-agent navigation
I Kajić, E Aygün, D Precup
arXiv preprint arXiv:2004.01097, 2020
An improvement of centroid-based classification algorithm for text classification
Z Cataltepe, E Aygun
2007 IEEE 23rd International Conference on Data Engineering Workshop, 952-956, 2007
Learning to prove from synthetic theorems
E Aygün, Z Ahmed, A Anand, V Firoiu, X Glorot, L Orseau, D Precup, ...
arXiv preprint arXiv:2006.11259, 2020
Spectral renormalization group theory on networks
E Aygün, A Erzan
Journal of Physics: Conference Series 319 (1), 012007, 2011
A formal treatment of generalized preferential attachment and its empirical validation
A Herdağdelen, E Aygün, H Bingol
Europhysics Letters 78 (6), 60007, 2007
Training a first-order theorem prover from synthetic data
V Firoiu, E Aygun, A Anand, Z Ahmed, X Glorot, L Orseau, L Zhang, ...
arXiv preprint arXiv:2103.03798, 2021
Knowledge representation for reinforcement learning using general value functions
G Comanici, D Precup, A Barreto, DK Toyama, E Aygün, P Hamel, ...
Learning representations of logical formulae using graph neural networks
X Glorot, A Anand, E Aygun, S Mourad, P Kohli, D Precup
Neural Information Processing Systems, Workshop on Graph Representation Learning, 2019
Proving theorems using incremental learning and hindsight experience replay
E Aygün, A Anand, L Orseau, X Glorot, SM Mcaleer, V Firoiu, LM Zhang, ...
International Conference on Machine Learning, 1198-1210, 2022
Systems and methods for measuring media performance on end-user devices
E Aygun, EJ Marchiori
US Patent 10,673,720, 2020
Protein Function Prediction with Amino Acid Sequence and Secondary Structure Alignment Scores
E Aygün, C Kömürlü, Z Aydin, Z Çataltepe
HIBIT 2008, 18-20, 2008
Peptide classification using optimal and information theoretic syntactic modeling
E Aygün, BJ Oommen, Z Cataltepe
Pattern Recognition 43 (11), 3891-3899, 2010
Importance of secondary structure elements for prediction of GO annotations
A Filiz, E Aygün, Ö Keskin, Z Cataltepe
Hibit2008, 2008
On utilizing optimal and information theoretic syntactic modeling for peptide classification
E Aygün, BJ Oommen, Z Cataltepe
Pattern Recognition in Bioinformatics: 4th IAPR International Conference …, 2009
The history of philosophy
DC Önduygu, H Kuşçu, E Aygün, 2014
Dimensionality Reduction for Protein Function Prediction
Z Cataltepe, E Aygun, A Filiz, O Keskin, C Komurlu, Y Altunbasak
Automated Function Prediction (AFP)/Biosapiens Joint Special Interest Group …, 2007
A formal treatment of generalized preferential attachment and its empirical validation. CoRR, abs
A Herdagdelen, E Aygun, H Bingol
arXiv preprint nlin/0609042, 2006
Measuring Preferential Attachment in a Hyper-Textual Dictionary Reference Network: Eksi Sözlük
A Herdagdelen, E Aygun, H Bingol
Boğaziçi University, 0
Protein işlev kestiriminde yapısal bilginin katkısı ve dizi geçiş olasılıkları ile peptit sınıflandırma
E Aygün
Istanbul Technical University, 2009
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