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Author search results
Exact matches
- Martin Takác 0001
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE - Martin Takác 0002
Comenius University, Bratislava, Slovak Republic
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Publication search results
found 191 matches
- 2024
- Vitali Pirau, Aleksandr Beznosikov, Martin Takác, Vladislav Matyukhin, Alexander V. Gasnikov:
Preconditioning meets biased compression for efficient distributed optimization. Comput. Manag. Sci. 21(1): 14 (2024) - Iosu Rodríguez-Martínez
, Pablo Ursua-Medrano
, Javier Fernández, Zdenko Takác, Humberto Bustince
:
A study on the suitability of different pooling operators for Convolutional Neural Networks in the prediction of COVID-19 through chest x-ray image analysis. Expert Syst. Appl. 235: 121162 (2024) - Wen He
, Rosa M. Rodríguez
, Zdenko Takác, Luis Martínez:
Ranking of Fuzzy Numbers on the Basis of New Fuzzy Distance. Int. J. Fuzzy Syst. 26(1): 17-33 (2024) - Abdurakhmon Sadiev, Aleksandr Beznosikov
, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác:
Stochastic Gradient Methods with Preconditioned Updates. J. Optim. Theory Appl. 201(2): 471-489 (2024) - Aleksandr Beznosikov
, Martin Takác
:
Random-reshuffled SARAH does not need full gradient computations. Optim. Lett. 18(3): 727-749 (2024) - Gergely Takács
, Jakub Mihalík, Martin Gulan
, Anna Vargová
, Erik Mikulas, Stepán Ozana
:
MagnetoShield: A Novel Open-Source Magnetic Levitation Benchmark Device for Mechatronics Education and Research. Sensors 24(2): 538 (2024) - Fatima A. Alkhoori
, Latif U. Khan
, Mohsen Guizani, Martin Takac:
Latency-aware placement of vehicular metaverses using virtual network functions. Simul. Model. Pract. Theory 133: 102899 (2024) - Kun Song, Ruben Solozabal, Hao Li, Martin Takác, Lu Ren, Fakhri Karray:
Robustly Train Normalizing Flows via KL Divergence Regularization. AAAI 2024: 15047-15055 - Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov:
Efficient Conformal Prediction under Data Heterogeneity. AISTATS 2024: 4879-4887 - Thomas Joseph Cashman
, Tim Hutton
, Martin de La Gorce
, Tibor Takács
, Antonio Criminisi
, Milica Dordevic
, Goran Dubajic
, Dorde Marjanovic, Milena Okosanovic
, Vukasin Rankovic
, Ivan Razumenic
, Bojan Rosko
, Teo Sarkic
, Marko Skakun
, Milos Stojanovic
, Nikola Velickovic
, Predrag Jovanovic
, Payod Panda
, Lev Tankelevitch
, Sean Rintel
:
An Equal Seat at the Table: Exploring Videoconferencing with Shared Spatial Context combined with 3D Video Representations. CHI Extended Abstracts 2024: 41:1-41:9 - Nazarii Tupitsa, Samuel Horváth, Martin Takác, Eduard Gorbunov:
Federated Learning Can Find Friends That Are Beneficial. CoRR abs/2402.05050 (2024) - Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander V. Gasnikov, Martin Takác, Dmitry Kamzolov:
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size. CoRR abs/2402.05264 (2024) - Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows. CoRR abs/2402.09765 (2024) - Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou, Samuel Horváth, Martin Takác, Eduard Gorbunov:
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad. CoRR abs/2403.02648 (2024) - Yunxiang Li, Nicolas Mauricio Cuadrado, Samuel Horváth, Martin Takác:
Generalized Policy Learning for Smart Grids: FL TRPO Approach. CoRR abs/2403.18439 (2024) - Nicolas Mauricio Cuadrado, Roberto Alejandro Gutiérrez Guillén, Martin Takác:
FRESCO: Federated Reinforcement Energy System for Cooperative Optimization. CoRR abs/2403.18444 (2024) - Yunxiang Li, Rui Yuan, Chen Fan, Mark Schmidt, Samuel Horváth, Robert M. Gower, Martin Takác:
Enhancing Policy Gradient with the Polyak Step-Size Adaption. CoRR abs/2404.07525 (2024) - 2023
- Zangir Iklassov
, Ikboljon Sobirov
, Ruben Solozabal, Martin Takác
:
Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands. IEEE Access 11: 87958-87969 (2023) - Iosu Rodríguez-Martínez, Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Francisco Herrera, Zdenko Takác, Humberto Bustince
:
Generalizing max pooling via (a,b)-grouping functions for Convolutional Neural Networks. Inf. Fusion 99: 101893 (2023) - Mark Sagar, Alecia Moser
, Annette M. E. Henderson
, Sam Morrison
, Nathan Pages, Alireza Nejati, Wan-Ting Yeh
, Jonathan Conder, Alistair Knott
, Khurram Jawed, Martin Takác
:
A Platform for Holistic Embodied Models of Infant Cognition, and Its Use in a Model of Event Processing. IEEE Trans. Cogn. Dev. Syst. 15(4): 1916-1927 (2023) - Mikel Ferrero-Jaurrieta
, Zdenko Takác
, Iosu Rodríguez-Martínez, Cédric Marco-Detchart
, Angela Bernardini, Javier Fernández
, Carlos Lopez-Molina
, Humberto Bustince
:
From Restricted Equivalence Functions on $L{n}$ to Similarity Measures Between Fuzzy Multisets. IEEE Trans. Fuzzy Syst. 31(8): 2709-2721 (2023) - Zheng Shi, Abdurakhmon Sadiev, Nicolas Loizou, Peter Richtárik, Martin Takác:
AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods. Trans. Mach. Learn. Res. 2023 (2023) - Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. ACML 2023: 502-517 - Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander V. Gasnikov, Martin Takác:
Algorithm for Constrained Markov Decision Process with Linear Convergence. AISTATS 2023: 11506-11533 - Shuang Li, William J. Swartworth, Martin Takác, Deanna Needell, Robert M. Gower:
SP2 : A Second Order Stochastic Polyak Method. ICLR 2023 - Nicolas M. Cuadrado, Roberto Alejandro Gutiérrez Guillén, Martin Takác:
FRESCO: Federated Reinforcement Energy System for Cooperative Optimization. Tiny Papers @ ICLR 2023 - Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takác:
On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling. IJCAI 2023: 5350-5358 - Jozef Kubík, Daniel Kyselica, Martin Takác:
Efficient Fine-tuning of SlovakBERT with Epinet. ITAT 2023: 96-101 - Aleksandr Beznosikov, Martin Takác, Alexander V. Gasnikov:
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities. NeurIPS 2023 - Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov:
Byzantine-Tolerant Methods for Distributed Variational Inequalities. NeurIPS 2023
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