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ORCIDGeorgios Kollias
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2020 – today
- 2024
[j6]Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J. Zaki:
Directed Graph Transformers. Trans. Mach. Learn. Res. 2024 (2024)- [c18]Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias:
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. ACL (Findings) 2024: 2416-2430 - [c17]Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu:
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. AISTATS 2024: 415-423 - [c16]Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh:
Asynchronous Randomized Trace Estimation. AISTATS 2024: 4294-4302 - [c15]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:
Larimar: Large Language Models with Episodic Memory Control. ICML 2024 - [i14]Dongxia Wu, Tsuyoshi Idé, Aurélie C. Lozano, Georgios Kollias, Jirí Navrátil, Naoki Abe, Yi-An Ma, Rose Yu:
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. CoRR abs/2402.03726 (2024) - [i13]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:
Larimar: Large Language Models with Episodic Memory Control. CoRR abs/2403.11901 (2024) - [i12]Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias:
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. CoRR abs/2404.01306 (2024) - [i11]Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan:
Needle in the Haystack for Memory Based Large Language Models. CoRR abs/2407.01437 (2024) - [i10]Georgios Kollias, Payel Das, Subhajit Chaudhury:
Generation Constraint Scaling Can Mitigate Hallucination. CoRR abs/2407.16908 (2024) - [i9]Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel:
Large Language Models can be Strong Self-Detoxifiers. CoRR abs/2410.03818 (2024) - 2023
- [c14]Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Theodoros Salonidis:
Accelerating Matrix Trace Estimation by Aitken's Δ2 Process. ICASSP 2023: 1-5 - [c13]Georgios Kollias, Vassilis Kalantzis, Theodoros Salonidis, Shashanka Ubaru:
Quantum Graph Transformers. ICASSP 2023: 1-5 - [c12]Yonas Sium, Georgios Kollias, Tsuyoshi Idé, Payel Das, Naoki Abe, Aurélie C. Lozano, Qi Li
:
Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks. ICASSP 2023: 1-5 - 2022
- [c11]Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe:
Directed Graph Auto-Encoders. AAAI 2022: 7211-7219 - [c10]Georgios Kollias, Theodoros Salonidis, Shiqiang Wang:
Sketch to Skip and Select: Communication Efficient Federated Learning Using Locality Sensitive Hashing. FL@IJCAI 2022: 72-83 - [i8]Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe:
Directed Graph Auto-Encoders. CoRR abs/2202.12449 (2022) - [i7]Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe:
Cardinality-Regularized Hawkes-Granger Model. CoRR abs/2208.10671 (2022) - 2021
- [j5]Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich:
Scalable Algorithms for Multiple Network Alignment. SIAM J. Sci. Comput. 43(5): S592-S611 (2021) - [c9]Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias:
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation. APOCS 2021: 144-158 - [c8]Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson:
Projection techniques to update the truncated SVD of evolving matrices with applications. ICML 2021: 5236-5246 - [c7]Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe:
Cardinality-Regularized Hawkes-Granger Model. NeurIPS 2021: 2682-2694 - 2020
- [c6]Georgios Kollias, Angelos Antonopoulos:
Joint Consideration of Content Popularity and Size in Device-to-Device Caching Scenarios. ICC 2020: 1-6 - [i6]Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson:
Projection techniques to update the truncated SVD of evolving matrices. CoRR abs/2010.06392 (2020)
2010 – 2019
- 2019
- [j4]Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas:
Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling. Frontiers Big Data 2: 33 (2019) - [j3]Chander Iyer, Haim Avron, Georgios Kollias, Yves Ineichen, Christopher D. Carothers, Petros Drineas:
A randomized least squares solver for terabyte-sized dense overdetermined systems. J. Comput. Sci. 36 (2019) - [i5]Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas:
Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling. CoRR abs/1906.01510 (2019) - 2018
- [i4]Amith R. Mamidala, Georgios Kollias, Chris Ward, Fausto Artico:
MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for scaling Deep Learning. CoRR abs/1801.03855 (2018) - [i3]Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer E. Bouchard:
Run Procrustes, Run! On the convergence of accelerated Procrustes Flow. CoRR abs/1806.00534 (2018) - [i2]Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich:
Low rank methods for multiple network alignment. CoRR abs/1809.08198 (2018) - 2017
- [j2]Georgios Kollias, Ferran Adelantado, Christos V. Verikoukis:
Spectral Efficient and Energy Aware Clustering in Cellular Networks. IEEE Trans. Veh. Technol. 66(10): 9263-9274 (2017) - [i1]Georgios Kollias, Ferran Adelantado, Christos V. Verikoukis:
Spectral Efficient and Energy Aware Clustering in Cellular Networks. CoRR abs/1706.02146 (2017) - 2015
- [c5]Georgios Kollias, Ferran Adelantado, Kostas Ramantas, Christos V. Verikoukis:
CORE: A Clustering Optimization Algorithm for Resource Efficiency in LTE-A Networks. GLOBECOM 2015: 1-6 - [c4]Georgios Kollias, Ferran Adelantado, Christos V. Verikoukis:
The impact of inter-site distance and Time-to-Trigger on Handover performance in LTE-A HetNets. ICC 2015: 3969-3974 - [c3]Chander Iyer, Haim Avron, Georgios Kollias, Yves Ineichen, Christopher D. Carothers, Petros Drineas:
A scalable randomized least squares solver for dense overdetermined systems. ScalA@SC 2015: 3:1-3:8 - 2014
- [j1]Evangelia Kokolaki, Merkourios Karaliopoulos, Georgios Kollias, Maria Papadaki, Ioannis Stavrakakis:
Vulnerability of opportunistic parking assistance systems to vehicular node selfishness. Comput. Commun. 48: 159-170 (2014) - [c2]Georgios Kollias, Ferran Adelantado, John S. Vardakas, Kostas Ramantas:
Handover performance in LTE-A HetNets through inter-site distance differentiation. CAMAD 2014: 280-284 - 2013
- [c1]Evangelia Kokolaki, Georgios Kollias, Maria Papadaki, Merkourios Karaliopoulos, Ioannis Stavrakakis:
Opportunistically-assisted parking search: A story of free riders, selfish liars and bona fide mules. WONS 2013: 17-24
Coauthor Index
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