Georgios Kollias

According to our database, Georgios Kollias authored at least 34 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Directed Graph Transformers.

Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J. Zaki

Trans. Mach. Learn. Res., 2024

Large Language Models can be Strong Self-Detoxifiers.

Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel

CoRR, 2024

Generation Constraint Scaling Can Mitigate Hallucination.

Georgios Kollias, Payel Das, Subhajit Chaudhury

CoRR, 2024

Needle in the Haystack for Memory Based Large Language Models.

Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan

CoRR, 2024

Larimar: Large Language Models with Episodic Memory Control.

Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen

CoRR, 2024

Counting Triangles of Graphs via Matrix Partitioning.

Georgios Kollias, Vassilis Kalantzis, Lior Horesh, Shashanka Ubaru, Panagiotis A. Traganitis

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Larimar: Large Language Models with Episodic Memory Control.

Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes.

Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Asynchronous Randomized Trace Estimation.

Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models.

Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks.

Yonas Sium, Georgios Kollias, Tsuyoshi Idé, Payel Das, Naoki Abe, Aurélie C. Lozano, Qi Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Quantum Graph Transformers.

Georgios Kollias, Vassilis Kalantzis, Theodoros Salonidis, Shashanka Ubaru

Proceedings of the IEEE International Conference on Acoustics, 2023

Accelerating Matrix Trace Estimation by Aitken's Δ² Process.

Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Theodoros Salonidis

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Sketch to Skip and Select: Communication Efficient Federated Learning Using Locality Sensitive Hashing.

Georgios Kollias, Theodoros Salonidis, Shiqiang Wang

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Directed Graph Auto-Encoders.

Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Scalable Algorithms for Multiple Network Alignment.

Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich

SIAM J. Sci. Comput., 2021

Cardinality-Regularized Hawkes-Granger Model.

Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Projection techniques to update the truncated SVD of evolving matrices with applications.

Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson

Proceedings of the 38th International Conference on Machine Learning, 2021

PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation.

Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias

Proceedings of the 2nd Symposium on Algorithmic Principles of Computer Systems, 2021

2020

Projection techniques to update the truncated SVD of evolving matrices.

Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson

CoRR, 2020

Joint Consideration of Content Popularity and Size in Device-to-Device Caching Scenarios.

Georgios Kollias, Angelos Antonopoulos

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

A randomized least squares solver for terabyte-sized dense overdetermined systems.

Chander Iyer, Haim Avron, Georgios Kollias, Yves Ineichen, Christopher D. Carothers, Petros Drineas

J. Comput. Sci., 2019

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling.

Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas

Frontiers Big Data, 2019

Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling.

Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas

CoRR, 2019

2018

Low rank methods for multiple network alignment.

Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich

CoRR, 2018

Run Procrustes, Run! On the convergence of accelerated Procrustes Flow.

Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer E. Bouchard

CoRR, 2018

MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for scaling Deep Learning.

Amith R. Mamidala, Georgios Kollias, Chris Ward, Fausto Artico

CoRR, 2018

2017

Spectral Efficient and Energy Aware Clustering in Cellular Networks.

Georgios Kollias, Ferran Adelantado, Christos V. Verikoukis

IEEE Trans. Veh. Technol., 2017

2015

A scalable randomized least squares solver for dense overdetermined systems.

Chander Iyer, Haim Avron, Georgios Kollias, Yves Ineichen, Christopher D. Carothers, Petros Drineas

Proceedings of the 6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2015

The impact of inter-site distance and Time-to-Trigger on Handover performance in LTE-A HetNets.

Georgios Kollias, Ferran Adelantado, Christos V. Verikoukis

Proceedings of the 2015 IEEE International Conference on Communications, 2015

CORE: A Clustering Optimization Algorithm for Resource Efficiency in LTE-A Networks.

Georgios Kollias, Ferran Adelantado, Kostas Ramantas, Christos V. Verikoukis

Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014

Vulnerability of opportunistic parking assistance systems to vehicular node selfishness.

Evangelia Kokolaki, Merkourios Karaliopoulos, Georgios Kollias, Maria Papadaki, Ioannis Stavrakakis

Comput. Commun., 2014

Handover performance in LTE-A HetNets through inter-site distance differentiation.

Georgios Kollias, Ferran Adelantado, John S. Vardakas, Kostas Ramantas

Proceedings of the 19th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2014

2013

Opportunistically-assisted parking search: A story of free riders, selfish liars and bona fide mules.

Evangelia Kokolaki, Georgios Kollias, Maria Papadaki, Merkourios Karaliopoulos, Ioannis Stavrakakis

Proceedings of the 10th Annual Conference on Wireless On-demand Network Systems and Services, 2013