Georgios Kollias

49 papers A* 5A 2B 1Misc 3Journal 25Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoder-based Sense Knowledge Distillation. CoRR Qitong Wang, Mohammed J. Zaki, Georgios Kollias, Vasileios Kalantzis
2025	J	`jnl`	Can Memory-Augmented Language Models Generalize on Reasoning-in-a-Haystack Tasks? CoRR Payel Das, Ching-Yun Ko, Sihui Dai, Georgios Kollias, Subhajit Chaudhury, Aurélie C. Lozano
2025	—	`conf`	Differentiable Graph Centrality. HPEC Georgios Kollias, Vassilis Kalantzis
2025	—	`conf`	EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts. ACL (1) Subhajit Chaudhury, Payel Das, Sarathkrishna Swaminathan, Georgios Kollias, Elliot Nelson, Khushbu Pahwa, Tejaswini Pedapati, Igor Melnyk, Matthew Riemer
2025	J	`jnl`	EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts. CoRR Subhajit Chaudhury, Payel Das, Sarathkrishna Swaminathan, Georgios Kollias, Elliot Nelson, Khushbu Pahwa, Tejaswini Pedapati, Igor Melnyk, Matthew Riemer
2025	A*	`conf`	Large Language Models can Become Strong Self-Detoxifiers. ICLR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2025	—	`conf`	Multi-Sense Embeddings for Language Models and Knowledge Distillation. ACL (Findings) Qitong Wang, Mohammed J. Zaki, Georgios Kollias, Vasileios Kalantzis
2025	J	`jnl`	Multi-Sense Embeddings for Language Models and Knowledge Distillation. CoRR Qitong Wang, Mohammed J. Zaki, Georgios Kollias, Vasileios Kalantzis
2025	—	`conf`	Power iteration with probabilistic updates for systems with heterogeneous performance. HPEC Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Georgios Kollias, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru
2024	A	`conf`	Asynchronous Randomized Trace Estimation. AISTATS Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh
2024	—	`conf`	Counting Triangles of Graphs via Matrix Partitioning. MLSP Georgios Kollias, Vassilis Kalantzis, Lior Horesh, Shashanka Ubaru, Panagiotis A. Traganitis
2024	J	`jnl`	Directed Graph Transformers. Trans. Mach. Learn. Res. Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J. Zaki
2024	J	`jnl`	Generation Constraint Scaling Can Mitigate Hallucination. CoRR Georgios Kollias, Payel Das, Subhajit Chaudhury
2024	J	`jnl`	Large Language Models can be Strong Self-Detoxifiers. CoRR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2024	A*	`conf`	Larimar: Large Language Models with Episodic Memory Control. ICML 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
2024	J	`jnl`	Larimar: Large Language Models with Episodic Memory Control. CoRR 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
2024	A	`conf`	Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. AISTATS Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil, Aurélie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu
2024	J	`jnl`	Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. CoRR Dongxia Wu, Tsuyoshi Idé, Aurélie C. Lozano, Georgios Kollias, Jirí Navrátil, Naoki Abe, Yi-An Ma, Rose Yu
2024	J	`jnl`	Needle in the Haystack for Memory Based Large Language Models. CoRR Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan
2024	—	`conf`	NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. ACL (Findings) Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias
2024	J	`jnl`	NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. CoRR Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias
2024	J	`jnl`	Single-pass top- J. Complex Networks Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Naoki Abe, Lior Horesh
2023	Misc	`conf`	Accelerating Matrix Trace Estimation by Aitken's Δ ICASSP Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Theodoros Salonidis
2023	Misc	`conf`	Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks. ICASSP Yonas Sium, Georgios Kollias, Tsuyoshi Idé, Payel Das, Naoki Abe, Aurélie C. Lozano, Qi Li
2023	Misc	`conf`	Quantum Graph Transformers. ICASSP Georgios Kollias, Vassilis Kalantzis, Theodoros Salonidis, Shashanka Ubaru
2022	J	`jnl`	Cardinality-Regularized Hawkes-Granger Model. CoRR Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
2022	A*	`conf`	Directed Graph Auto-Encoders. AAAI Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
2022	J	`jnl`	Directed Graph Auto-Encoders. CoRR Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
2022	—	`conf`	Sketch to Skip and Select: Communication Efficient Federated Learning Using Locality Sensitive Hashing. FL@IJCAI Georgios Kollias, Theodoros Salonidis, Shiqiang Wang
2021	A*	`conf`	Cardinality-Regularized Hawkes-Granger Model. NeurIPS Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
2021	—	`conf`	PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation. APOCS Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias
2021	A*	`conf`	Projection techniques to update the truncated SVD of evolving matrices with applications. ICML Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
2021	J	`jnl`	Scalable Algorithms for Multiple Network Alignment. SIAM J. Sci. Comput. Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich
2020	—	`conf`	Joint Consideration of Content Popularity and Size in Device-to-Device Caching Scenarios. ICC Georgios Kollias, Angelos Antonopoulos
2020	J	`jnl`	Projection techniques to update the truncated SVD of evolving matrices. CoRR Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
2019	J	`jnl`	A randomized least squares solver for terabyte-sized dense overdetermined systems. J. Comput. Sci. Chander Iyer, Haim Avron, Georgios Kollias, Yves Ineichen, Christopher D. Carothers, Petros Drineas
2019	J	`jnl`	Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling. Frontiers Big Data Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas
2019	J	`jnl`	Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling. CoRR Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas
2018	J	`jnl`	Low rank methods for multiple network alignment. CoRR Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich
2018	J	`jnl`	MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for scaling Deep Learning. CoRR Amith R. Mamidala, Georgios Kollias, Chris Ward, Fausto Artico
2018	J	`jnl`	Run Procrustes, Run! On the convergence of accelerated Procrustes Flow. CoRR Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer E. Bouchard
2017	J	`jnl`	Spectral Efficient and Energy Aware Clustering in Cellular Networks. CoRR Georgios Kollias, Ferran Adelantado, Christos V. Verikoukis
2017	J	`jnl`	Spectral Efficient and Energy Aware Clustering in Cellular Networks. IEEE Trans. Veh. Technol. Georgios Kollias, Ferran Adelantado, Christos V. Verikoukis
2015	—	`conf`	A scalable randomized least squares solver for dense overdetermined systems. ScalA@SC Chander Iyer, Haim Avron, Georgios Kollias, Yves Ineichen, Christopher D. Carothers, Petros Drineas
2015	B	`conf`	CORE: A Clustering Optimization Algorithm for Resource Efficiency in LTE-A Networks. GLOBECOM Georgios Kollias, Ferran Adelantado, Kostas Ramantas, Christos V. Verikoukis
2015	—	`conf`	The impact of inter-site distance and Time-to-Trigger on Handover performance in LTE-A HetNets. ICC Georgios Kollias, Ferran Adelantado, Christos V. Verikoukis
2014	—	`conf`	Handover performance in LTE-A HetNets through inter-site distance differentiation. CAMAD Georgios Kollias, Ferran Adelantado, John S. Vardakas, Kostas Ramantas
2014	J	`jnl`	Vulnerability of opportunistic parking assistance systems to vehicular node selfishness. Comput. Commun. Evangelia Kokolaki, Merkourios Karaliopoulos, Georgios Kollias, Maria Papadaki, Ioannis Stavrakakis
2013	—	`conf`	Opportunistically-assisted parking search: A story of free riders, selfish liars and bona fide mules. WONS Evangelia Kokolaki, Georgios Kollias, Maria Papadaki, Merkourios Karaliopoulos, Ioannis Stavrakakis

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.