| 2026 | AAAI | Bant: Byzantine Antidote via Trial Function and Trust Scores. | Gleb Molodtsov, Daniil Medyakov, Sergey Skorik, Nikolas Khachaturov, Shahane Tigranyan, Vladimir Aletov, Aram Avetisyan, Martin Takc, Aleksandr Beznosikov |
| 2026 | ACL | Temporal Contrastive Decoding: A Training-Free Method for Large Audio-Language Models. | Yanda Li, Yuhan Liu, Zirui Song, Yunchao Wei, Martin Takc, Salem Lahlou |
| 2025 | ACL | Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. | Munachiso Nwadike, Zangir Iklassov, Toluwani Aremu, Tatsuya Hiraoka, Benjamin Heinzerling, Velibor Bojkovic, Hilal AlQuabeh, Martin Takc, Kentaro Inui |
| 2025 | AISTATS | Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis. | Ruichen Luo, Sebastian U. Stich, Samuel Horvth, Martin Takc |
| 2025 | ICLR | Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization. | Yury Demidovich, Petr Ostroukhov, Grigory Malinovsky, Samuel Horvth, Martin Takc, Peter Richtrik, Eduard Gorbunov |
| 2025 | ICLR | Methods for Convex (L0, L1)-Smooth Optimization: Clipping, Acceleration, and Adaptivity. | Eduard Gorbunov, Nazarii Tupitsa, Sayantan Choudhury, Alen Aliev, Peter Richtrik, Samuel Horvth, Martin Takc |
| 2025 | ICLR | OPTAMI: Global Superlinear Convergence of High-order Methods. | Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Martin Takc |
| 2025 | ICLR | From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation. | Nikita Kotelevskii, Vladimir Kondratyev, Martin Takc, Eric Moulines, Maxim Panov |
| 2025 | ICML | Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed. | Savelii Chezhegov, Yaroslav Klyukin, Andrei Semenov, Aleksandr Beznosikov, Alexander V. Gasnikov, Samuel Horvth, Martin Takc, Eduard Gorbunov |
| 2025 | ICML | FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training. | Philip Zmushko, Aleksandr Beznosikov, Martin Takc, Samuel Horvth |
| 2025 | IJCNLP | Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages. | Jozef Kubk, Marek Suppa, Martin Takc |
| 2025 | MICCAI | MedNNS: Supernet-Based Medical Task-Adaptive Neural Network Search. | Lotfi Abdelkrim Mecharbat, Ibrahim Almakky, Martin Takc, Mohammad Yaqub |
| 2025 | SDM | Learning Confident Classifiers in the Presence of Label Noise. | Asma Ahmed Hashmi, Aigerim Zhumabayeva, Nikita Kotelevskii, Artem Agafonov, Mohammad Yaqub, Maxim Panov, Martin Takc |
| 2024 | AAAI | Robustly Train Normalizing Flows via KL Divergence Regularization. | Kun Song, Ruben Solozabal, Hao Li, Martin Takc, Lu Ren, Fakhri Karray |
| 2024 | AISTATS | Efficient Conformal Prediction under Data Heterogeneity. | Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horvth, Martin Takc, Eric Moulines, Maxim Panov |
| 2024 | ICANN | Towards a Model of Associative Memory with Learned Distributed Representations. | Matej Fandl, Martin Takc |
| 2024 | ICLR | Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. | Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takc |
| 2024 | IJCAI | Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. | Nikita Kotelevskii, Samuel Horvth, Karthik Nandakumar, Martin Takc, Maxim Panov |
| 2023 | ACML | Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. | Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takc |
| 2023 | AISTATS | Algorithm for Constrained Markov Decision Process with Linear Convergence. | Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander V. Gasnikov, Martin Takc |
| 2023 | ICLR | SP2 : A Second Order Stochastic Polyak Method. | Shuang Li, William J. Swartworth, Martin Takc, Deanna Needell, Robert M. Gower |
| 2023 | ICLR | FRESCO: Federated Reinforcement Energy System for Cooperative Optimization. | Nicolas M. Cuadrado, Roberto Alejandro Gutirrez Guilln, Martin Takc |
| 2023 | IJCAI | On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling. | Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takc |
| 2023 | PAKDD | Regularization of the Policy Updates for Stabilizing Mean Field Games. | Talal Algumaei, Ruben Solozabal, Rda Alami, Hakim Hacid, Mrouane Debbah, Martin Takc |
| 2022 | CIKM | Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints. | Zhengqing Gao, Huimin Wu, Martin Takc, Bin Gu |
| 2022 | ICLR | Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information. | Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtrik, Michael W. Mahoney, Martin Takc |
| 2022 | ICML | The power of first-order smooth optimization for black-box non-smooth problems. | Alexander V. Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takc, Pavel E. Dvurechensky, Bin Gu |
| 2022 | MICCAI | Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. | Naif Alkhunaizi, Dmitry Kamzolov, Martin Takc, Karthik Nandakumar |
| 2021 | AISTATS | SONIA: A Symmetric Blockwise Truncated Optimization Algorithm. | Majid Jahani, MohammadReza Nazari, Rachael Tappenden, Albert S. Berahas, Martin Takc |
| 2021 | BMVC | Improving Text-to-Image Synthesis Using Contrastive Learning. | Hui Ye, Xiulong Yang, Martin Takc, Rajshekhar Sunderraman, Shihao Ji |
| 2020 | AISTATS | Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. | Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takc |
| 2020 | ICANN | SOM-Based System for Sequence Chunking and Planning. | Martin Takc, Alistair Knott, Mark Sagar |
| 2020 | ICMLA | Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations. | Zheng Shi, Nur Sila Gulgec, Albert S. Berahas, Shamim N. Pakzad, Martin Takc |
| 2019 | IJCAI | Entropy-Penalized Semidefinite Programming. | Mikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takc |
| 2019 | IROS | Multi-Agent Image Classification via Reinforcement Learning. | Hossein K. Mousavi, MohammadReza Nazari, Martin Takc, Nader Motee |
| 2018 | ICML | SGD and Hogwild! Convergence Without the Bounded Gradients Assumption. | Lam M. Nguyen, Phuong Ha Nguyen, Marten van Dijk, Peter Richtrik, Katya Scheinberg, Martin Takc |
| 2017 | AAAI | Distributed Hessian-Free Optimization for Deep Neural Network. | Xi He, Dheevatsa Mudigere, Mikhail Smelyanskiy, Martin Takc |
| 2017 | AAAI | Distributed Inexact Damped Newton Method: Data Partitioning and Work-Balancing. | Chenxin Ma, Martin Takc |
| 2017 | ICML | SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient. | Lam M. Nguyen, Jie Liu, Katya Scheinberg, Martin Takc |
| 2016 | CogSci | Mechanisms for storing and accessing event representations in episodic memory, and their expression in language: a neural network model. | Martin Takc, Alistair Knott |
| 2016 | CogSci | Working memory encoding of events and their participants: a neural network model with applications in sensorimotor processing and sentence generation. | Martin Takc, Alistair Knott |
| 2016 | ICML | Primal-Dual Rates and Certificates. | Celestine Dnner, Simone Forte, Martin Takc, Martin Jaggi |
| 2016 | ICML | SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization. | Zheng Qu, Peter Richtrik, Martin Takc, Olivier Fercoq |
| 2015 | ICML | Adding vs. Averaging in Distributed Primal-Dual Optimization. | Chenxin Ma, Virginia Smith, Martin Jaggi, Michael I. Jordan, Peter Richtrik, Martin Takc |
| 2013 | CogSci | A neural network model of working memory for episodes. | Martin Takc, Alistair Knott |
| 2013 | ICML | Mini-Batch Primal and Dual Methods for SVMs. | Martin Takc, Avleen Singh Bijral, Peter Richtrik, Nati Srebro |
| 2011 | ICANN | A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures. | Martin Takc, Lubica Benuskov, Alistair Knott |
| 1997 | EPIA | Fixed Point Classification Method for Qualitative Simulation. | Martin Takc |