Activities

Publications

2026

• Minimizing the weighted number of tardy jobs: data-driven heuristic for single-machine scheduling.
  Nikolai Antonov, Premysl Sucha, Mikolás Janota, Jan Hula
  Comput. Oper. Res. 185: (2026).
  
• Visualizing the Structure of Lenia Parameter Space.
  Barbora Hudcová, Frantisek Dusek, Marco Tuccio, Clément Hongler
  arXiv CoRR abs/2601.01932 (2026/01).
  
• Neural approaches to SAT solving: Design choices and interpretability.
  David Mojzísek, Jan Hula, Ziwei Li, Ziyu Zhou, Mikolás Janota
  Int. J. Approx. Reason. 190: (2026).
  

2025

• Ability Transfer Through Language Mixing.
  Petr Hyner, Jan Mrógala, Jan Hula
  Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, IJCNLP-AACL 2025, Mumbai, India, December 20-24, 2025: 1374-1381 (2025).
  
• Learning to Search with Subgoals.
  Petr Hyner, Jan Mrógala, Krystof Krmaschek, Jan Hula
  Advances in Computational Intelligence - 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16-18, 2025, Proceedings, Part I: 310-321 (2025).
  
• Neural Approaches to SAT Solving: Design Choices and Interpretability.
  David Mojzísek, Jan Hula, Ziwei Li, Ziyu Zhou, Mikolás Janota
  arXiv CoRR abs/2504.01173 (2025/04).
  
• Geometric Reasoning in the Embedding Space.
  Jan Hula, David Mojzísek, Jirí Janecek, David Herel, Mikolás Janota
  arXiv CoRR abs/2504.02018 (2025/04).
  
• Counting Short Trajectories in Elementary Cellular Automata using the Transfer Matrix Method.
  Cédric Koller, Barbora Hudcová
  arXiv CoRR abs/2508.09768 (2025/08).
  
• Minimizing the Weighted Number of Tardy Jobs: Data-Driven Heuristic for Single-Machine Scheduling.
  Nikolai Antonov, Premysl Sucha, Mikolás Janota, Jan Hula
  arXiv CoRR abs/2508.13703 (2025/08).
  
• Self-replication and Computational Universality.
  Jordan Cotler, Clément Hongler, Barbora Hudcová
  arXiv CoRR abs/2510.08342 (2025/10).
  
• A machine learning approach to rank pricing problems in branch-and-price.
  Pavlína Koutecká, Premysl Sucha, Jan Hula, Broos Maenhout
  Eur. J. Oper. Res. 320: 328-342 (2025).
  
• Geometric Reasoning in the Embedding Space.
  David Mojzísek, Jan Hula, Jirí Janecek, David Herel, Mikolás Janota
  Mach. Learn. Knowl. Extr. 7: (2025).
  
• BenCzechMark : A Czech-Centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism.
  Martin Fajcik, Martin Docekal, Jan Dolezal, Karel Ondrej, Karel Benes, Jan Kapsa, Pavel Smrz, Alexander Polok, Michal Hradis, Zuzana Neverilová, Ales Horák, Radoslav Sabol, Michal Stefánik, Adam Jirkovsky, David Adamczyk, Petr Hyner, Jan Hula, Hynek Kydlícek
  Trans. Assoc. Comput. Linguistics 13: 1068-1095 (2025).
  

2024

• Understanding GNNs for Boolean Satisfiability through Approximation Algorithms.
  Jan Hula, David Mojzísek, Mikolás Janota
  Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024: 953-961 (2024).
  
• Collapse of Self-trained Language Models.
  David Herel, Tomás Mikolov
  The Second Tiny Papers Track at ICLR 2024, Tiny Papers @ ICLR 2024, Vienna, Austria, May 11, 2024: (2024).
  
• Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
  Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
  Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024: 23758-23780 (2024).
  
• Efficient Use of Large Language Models for Analysis of Text Corpora.
  David Adamczyk, Jan Hula
  Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024.: 695-705 (2024).
  
• Efficient Solver Scheduling and Selection for Satisfiability Modulo Theories (SMT) Problems.
  David Mojzísek, Jan Hula
  Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024.: 360-369 (2024).
  
• Stealing Brains: From English to Czech Language Model.
  Petr Hyner, Petr Marek, David Adamczyk, Jan Hula, Jan Sedivý
  Proceedings of the 16th International Joint Conference on Computational Intelligence, IJCCI 2024, Porto, Portugal, November 20-22, 2024.: 606-612 (2024).
  
• Editorial Introduction to the 2022 Conference on Artificial Life Special Issue.
  Silvia Holler, Barbora Hudcová, Richard Löffler, Stuart Bartlett
  Artif. Life 30: 144-146 (2024).
  
• Large Language Models: A Survey.
  Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao
  arXiv CoRR abs/2402.06196 (2024).
  
• Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
  Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
  arXiv CoRR abs/2402.07757 (2024).
  
• Collapse of Self-trained Language Models.
  David Herel, Tomás Mikolov
  arXiv CoRR abs/2404.02305 (2024).
  
• Thinking Tokens for Language Modeling.
  David Herel, Tomás Mikolov
  arXiv CoRR abs/2405.08644 (2024).
  
• Understanding GNNs for Boolean Satisfiability through Approximation Algorithms.
  Jan Hula, David Mojzísek, Mikolás Janota
  arXiv CoRR abs/2408.15418 (2024).
  
• Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time.
  David Herel, Vojtech Bartek, Tomás Mikolov
  arXiv CoRR abs/2409.13338 (2024).
  
• BenCzechMark : A Czech-centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism.
  Martin Fajcik, Martin Docekal, Jan Dolezal, Karel Ondrej, Karel Benes, Jan Kapsa, Pavel Smrz, Alexander Polok, Michal Hradis, Zuzana Neverilová, Ales Horák, Radoslav Sabol, Michal Stefánik, Adam Jirkovsky, David Adamczyk, Petr Hyner, Jan Hula, Hynek Kydlícek
  arXiv CoRR abs/2412.17933 (2024).
  
• Simulation limitations of affine cellular automata.
  Barbora Hudcová, Jakub Krásenský
  Theor. Comput. Sci. 1003: (2024).
  

2023

• Preserving Semantics in Textual Adversarial Attacks.
  David Herel, Hugo Cisneros, Tomás Mikolov
  ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023): 1036-1043 (2023).
  
• Fast Heuristic for Ricochet Robots.
  Jan Hula, David Adamczyk, Mikolás Janota
  Proceedings of the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, Volume 1, Lisbon, Portugal, February 22-24, 2023.: 71-79 (2023).
  
• Molecule Builder: Environment for Testing Reinforcement Learning Agents.
  Petr Hyner, Jan Hula, Mikolás Janota
  Proceedings of the 15th International Joint Conference on Computational Intelligence, IJCCI 2023, Rome, Italy, November 13-15, 2023.: 450-458 (2023).
  
• Simulation Limitations of Affine Cellular Automata.
  Barbora Hudcová, Jakub Krásenský
  arXiv CoRR abs/2311.14477 (2023).
  
• Advancing State of the Art in Language Modeling.
  David Herel, Tomás Mikolov
  arXiv CoRR abs/2312.03735 (2023).
  

2022

• Benchmarking Learning Efficiency in Deep Reservoir Computing.
  Hugo Cisneros, Tomás Mikolov, Josef Sivic
  Conference on Lifelong Learning Agents, CoLLAs 2022, 22-24 August 2022, McGill University, Montréal, Québec, Canada.: 532-547 (2022).
  
• 3D Shapes Classification Using Intermediate Parts Representation.
  Jan Hula, David Mojzísek, David Adamczyk
  Information Processing and Management of Uncertainty in Knowledge-Based Systems - 19th International Conference, IPMU 2022, Milan, Italy, July 11-15, 2022, Proceedings, Part II: 431-442 (2022).
  
• Analysis of the Semantic Vector Space Induced by a Neural Language Model and a Corpus.
  Xinying Chen, Jan Hula, Antonín Dvorák
  Proceedings of the 22nd Conference Information Technologies - Applications and Theory (ITAT 2022), Zuberec, Slovakia, September 23-27, 2022.: 103-110 (2022).
  
• Image Classifier with Dynamic Set of Known Classes.
  David Mojzísek, Jan Hula
  Proceedings of the 22nd Conference Information Technologies - Applications and Theory (ITAT 2022), Zuberec, Slovakia, September 23-27, 2022.: 68-74 (2022).
  
• Targeted Configuration of an SMT Solver.
  Jan Hula, Jan Jakubuv, Mikolás Janota, Lukás Kubej
  Intelligent Computer Mathematics - 15th International Conference, CICM 2022, Tbilisi, Georgia, September 19-23, 2022, Proceedings: 256-271 (2022).
  
• Classification of Discrete Dynamical Systems Based on Transients.
  Barbora Hudcová, Tomás Mikolov
  Artif. Life 27: 220-245 (2022/03).
  
• Emergence of Self-Reproducing Metabolisms as Recursive Algorithms in an Artificial Chemistry.
  Germán Kruszewski, Tomás Mikolov
  Artif. Life 27: 277-299 (2022/03).
  
• Emergence of Novelty in Evolutionary Algorithms.
  David Herel, Dominika Zogatova, Matej Kripner, Tomás Mikolov
  arXiv CoRR abs/2207.04857 (2022).
  
• Benchmarking Learning Efficiency in Deep Reservoir Computing.
  Hugo Cisneros, Josef Sivic, Tomás Mikolov
  arXiv CoRR abs/2210.02549 (2022).
  
• Preserving Semantics in Textual Adversarial Attacks.
  David Herel, Hugo Cisneros, Tomás Mikolov
  arXiv CoRR abs/2211.04205 (2022).
  
• Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3.
  Petr Hurtík, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasánek, Tomas Nejezchleba
  Neural Comput. Appl. 34: 8275-8290 (2022).
  
• Binary cross-entropy with dynamical clipping.
  Petr Hurtík, Stefania Tomasiello, Jan Hula, David Hynar
  Neural Comput. Appl. 34: 12029-12041 (2022).
  

2021

• Graph Neural Networks for Scheduling of SMT Solvers.
  Jan Hula, David Mojzísek, Mikolás Janota
  33rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2021, Washington, DC, USA, November 1-3, 2021: 447-451 (2021).
  
• Language Modeling and Artificial Intelligence.
  Tomás Mikolov
  22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021.: (2021).
  
• Computational Hierarchy of Elementary Cellular Automata.
  Barbora Hudcová, Tomás Mikolov
  2021 Conference on Artificial Life, ALIFE 2021, online, July 19-23, 2021: (2021).
  
• Segmenting out Generic Objects in Monocular Videos.
  Jan Hula, David Adamczyk, David Mojzísek, Vojtech Molek
  Proceedings of the 21st Conference Information Technologies - Applications and Theory (ITAT 2021), Hotel Heľpa, Nízke Tatry and Muránska planina, Slovakia, September 24-28, 2021.: 123-129 (2021).
  
• Emergence of self-reproducing metabolisms as recursive algorithms in an Artificial Chemistry.
  Germán Kruszewski, Tomás Mikolov
  arXiv CoRR abs/2103.08245 (2021).
  
• Visualizing computation in large-scale cellular automata.
  Hugo Cisneros, Josef Sivic, Tomás Mikolov
  arXiv CoRR abs/2104.01008 (2021).
  
• Computational Hierarchy of Elementary Cellular Automata.
  Barbora Hudcová, Tomás Mikolov
  arXiv CoRR abs/2108.00415 (2021).
  
• Classification of Discrete Dynamical Systems Based on Transients.
  Barbora Hudcová, Tomás Mikolov
  arXiv CoRR abs/2108.01573 (2021).
  

2020

• Unsupervised Object-aware Learning from Videos.
  Jan Hula
  IEEE Third International Conference on Data Stream Mining, Processing, DSMP 2020, Lviv, Ukraine, August 21-25, 2020: 237-242 (2020).
  
• Acquiring Custom OCR System with Minimal Manual Annotation.
  Jan Hula, David Mojzísek, David Adamczyk, Radek Cech
  IEEE Third International Conference on Data Stream Mining, Processing, DSMP 2020, Lviv, Ukraine, August 21-25, 2020: 231-236 (2020).
  
• Visualizing computation in large-scale cellular automata.
  Hugo Cisneros, Josef Sivic, Tomás Mikolov
  2020 Conference on Artificial Life, ALIFE 2020, online, July 13-18, 2020: 239-247 (2020).
  
• Classification of Complex Systems Based on Transients.
  Barbora Hudcová, Tomás Mikolov
  2020 Conference on Artificial Life, ALIFE 2020, online, July 13-18, 2020: 367-375 (2020).
  
• Combinatory Chemistry: Towards a Simple Model of Emergent Evolution.
  Germán Kruszewski, Tomás Mikolov
  2020 Conference on Artificial Life, ALIFE 2020, online, July 13-18, 2020: 411-419 (2020).
  
• Keypoints Selection Using Evolutionary Algorithms.
  David Adamczyk, Jan Hula
  Proceedings of the 20th Conference Information Technologies - Applications and Theory (ITAT 2020), Hotel Tyrapol, Oravská Lesná, Slovakia, September 18-22, 2020.: 186-191 (2020).
  
• Combinatory Chemistry: Towards a Simple Model of Emergent Evolution.
  Germán Kruszewski, Tomás Mikolov
  arXiv CoRR abs/2003.07916 (2020).
  
• Class-Agnostic Continual Learning of Alternating Languages and Domains.
  Germán Kruszewski, Ionut-Teodor Sorodoc, Tomás Mikolov
  arXiv CoRR abs/2004.03340 (2020).
  
• Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3.
  Petr Hurtík, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasánek, Tomas Nejezchleba
  arXiv CoRR abs/2005.13243 (2020).
  
• Classification of Complex Systems Based on Transients.
  Barbora Hudcová, Tomás Mikolov
  arXiv CoRR abs/2008.13503 (2020).
  
• Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response.
  Dagmar Monett, Colin W. P. Lewis, Kristinn R. Thórisson, Joscha Bach, Gianluca Baldassarre, Giovanni Granato, Istvan S. N. Berkeley, François Chollet, Matthew Crosby, Henry Shevlin, John F. Sowa, John E. Laird, Shane Legg, Peter Lindes, Tomás Mikolov, William J. Rapaport, Raúl Rojas, Marek Rosa, Peter Stone, Richard S. Sutton, Roman V. Yampolskiy, Pei Wang, Roger C. Schank, Aaron Sloman, Alan F. T. Winfield
  J. Artif. Gen. Intell. 11: 1-100 (2020).
  
• Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function.
  Petr Hurtík, Vojtech Molek, Jan Hula
  IEEE Trans. Fuzzy Syst. 28: 1195-1204 (2020).
  

2019

• Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling.
  Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman
  Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers: 4465-4476 (2019).
  
• Evolving Structures in Complex Systems.
  Hugo Cisneros, Josef Sivic, Tomás Mikolov
  IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019: 230-237 (2019).
  
• Place Deduplication with Embeddings.
  Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han
  The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019: 3420-3426 (2019).
  
• Identifying collaborators in large codebases.
  Waren Long, Vadim Markovtsev, Hugo Mougard, Egor Bulychev, Jan Hula
  arXiv CoRR abs/1905.06782 (2019).
  
• Place Deduplication with Embeddings.
  Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han
  arXiv CoRR abs/1910.04861 (2019).
  
• Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment.
  Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin
  arXiv CoRR abs/1910.06241 (2019).
  
• Evolving Structures in Complex Systems.
  Hugo Cisneros, Josef Sivic, Tomás Mikolov
  arXiv CoRR abs/1911.01086 (2019).
  
• Context Specificity of Lemma. Diachronic Analysis.
  Jan Hula, Miroslav Kubát, Radek Cech, Xinying Chen, David Cíz, Katerina Pelegrinová, Jirí Milicka
  Glottometrics 45: 7-23 (2019).
  
• The Development of Context Specificity of Lemma. A Word Embeddings Approach.
  Radek Cech, Jan Hula, Miroslav Kubát, Xinying Chen, Jirí Milicka
  J. Quant. Linguistics 26: 187-204 (2019).
  

2018

• Efficient Large-Scale Multi-Modal Classification.
  Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
  Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018: 5198-5204 (2018).
  
• Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion.
  Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Hervé Jégou, Edouard Grave
  Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018: 2979-2984 (2018).
  
• Learning Word Vectors for 157 Languages.
  Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
  Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018.: (2018).
  
• Advances in Pre-Training Distributed Word Representations.
  Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
  Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018.: (2018).
  
• Efficient Large-Scale Multi-Modal Classification.
  Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
  arXiv CoRR abs/1802.02892 (2018).
  
• Learning Word Vectors for 157 Languages.
  Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
  arXiv CoRR abs/1802.06893 (2018).
  
• Improving Supervised Bilingual Mapping of Word Embeddings.
  Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave
  arXiv CoRR abs/1804.07745 (2018).
  
• Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.
  Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen
  arXiv CoRR abs/1812.10860 (2018).
  

2017

• Fast Linear Model for Knowledge Graph Embeddings.
  Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
  6th Workshop on Automated Knowledge Base Construction, AKBC@NIPS 2017, Long Beach, California, USA, December 8, 2017: (2017).
  
• Bag of Tricks for Efficient Text Classification.
  Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
  Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 2: Short Papers: 427-431 (2017).
  
• CommAI: Evaluating the first steps towards a useful general AI.
  Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov
  5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings: (2017).
  
• Variable Computation in Recurrent Neural Networks.
  Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov
  5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings: (2017).
  
• Towards Visual Training Set Generation Framework.
  Jan Hula, Irina Perfilieva, Ali Ahsan Muhummad Muzaheed
  Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II: 747-758 (2017).
  
• CommAI: Evaluating the first steps towards a useful general AI.
  Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov
  arXiv CoRR abs/1701.08954 (2017).
  
• Learning Simpler Language Models with the Delta Recurrent Neural Network Framework.
  II Alexander G. Ororbia, Tomás Mikolov, David Reitter
  arXiv CoRR abs/1703.08864 (2017).
  
• Fast Linear Model for Knowledge Graph Embeddings.
  Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
  arXiv CoRR abs/1710.10881 (2017).
  
• Advances in Pre-Training Distributed Word Representations.
  Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
  arXiv CoRR abs/1712.09405 (2017).
  
• Learning Simpler Language Models with the Differential State Framework.
  II Alexander G. Ororbia, Tomás Mikolov, David Reitter
  Neural Comput. 29: (2017).
  
• Enriching Word Vectors with Subword Information.
  Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
  Trans. Assoc. Comput. Linguistics 5: 135-146 (2017).
  

2016

• A Roadmap Towards Machine Intelligence.
  Tomás Mikolov, Armand Joulin, Marco Baroni
  Computational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Konya, Turkey, April 3-9, 2016, Revised Selected Papers, Part I: 29-61 (2016).
  
• Learning Simple Algorithms from Examples.
  Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
  Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016: 421-429 (2016).
  
• Enriching Word Vectors with Subword Information.
  Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
  arXiv CoRR abs/1607.04606 (2016).
  
• Variable Computation in Recurrent Neural Networks.
  Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov
  arXiv CoRR abs/1611.06188 (2016).
  
• FastText.zip: Compressing text classification models.
  Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomás Mikolov
  arXiv CoRR abs/1612.03651 (2016).
  
• Bag of Tricks for Efficient Text Classification.
  Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
  arXiv CoRR abs/1607.01759 (2016).
  
• Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.
  Jason Weston, Antoine Bordes, Sumit Chopra, Tomás Mikolov
  4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings: (2016).
  

2015

• Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets.
  Armand Joulin, Tomás Mikolov
  Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada: 190-198 (2015).
  
• Alternative structures for character-level RNNs.
  Piotr Bojanowski, Armand Joulin, Tomás Mikolov
  arXiv CoRR abs/1511.06303 (2015).
  
• Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets.
  Armand Joulin, Tomás Mikolov
  arXiv CoRR abs/1503.01007 (2015).
  
• Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews.
  Grégoire Mesnil, Tomás Mikolov, Marc'Aurelio Ranzato, Yoshua Bengio
  3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings: (2015).
  
• A Roadmap towards Machine Intelligence.
  Tomás Mikolov, Armand Joulin, Marco Baroni
  arXiv CoRR abs/1511.08130 (2015).
  
• Learning Longer Memory in Recurrent Neural Networks.
  Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato
  3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings: (2015).
  
• Learning Simple Algorithms from Examples.
  Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
  arXiv CoRR abs/1511.07275 (2015).