Dynamic power minimization during combinational circuit testing as a traveling salesman problem. - Artem Sokolov; Alodeep Sanyal; L. Darrell Whitley; Yashwant K. Malaiya (Congress on Evolutionary Computation, 2005)

Unbiased tournament selection. - Artem Sokolov; L. Darrell Whitley (GECCO, 2005)

Alternative implementations of the Griewangk function. - Artem Sokolov; L. Darrell Whitley; Monte Lunacek (GECCO, 2005)

Comparing the Niches of CMA-ES, CHC and Pattern Search Using Diverse Benchmarks. - L. Darrell Whitley; Monte Lunacek; Artem Sokolov (PPSN, 2006)

A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming. - Artem Sokolov; L. Darrell Whitley; André da Motta Salles Barreto (Genet. Program. Evolvable Mach., 2007)

Hierarchical Classification of Gene Ontology Terms Using the Gostruct Method. - Artem Sokolov; Asa Ben-Hur (J. Bioinform. Comput. Biol., 2010)

Multi-view prediction of protein function. - Artem Sokolov; Asa Ben-Hur (BCB, 2011)

Minimum Error Rate Training Semiring. - Artem Sokolov; François Yvon (EAMT, 2011)

Advances on spoken language translation in the Quaero program. - Karim Boudahmane; Bianka Buschbeck; Eunah Cho; Josep Maria Crego; Markus Freitag; Thomas Lavergne; Hermann Ney; Jan Niehues; Stephan Peitz; Jean Senellart; Artem Sokolov; Alex Waibel; et al. (IWSLT, 2011)

LIMSI @ WMT11. - Alexandre Allauzen; Hélène Bonneau-Maynard; Hai Son Le; Aurélien Max; Guillaume Wisniewski; François Yvon; Gilles Adda; Josep Maria Crego; Adrien Lardilleux; Thomas Lavergne; Artem Sokolov (WMT@EMNLP, 2011)

Computing Lattice BLEU Oracle Scores for Machine Translation. - Artem Sokolov; Guillaume Wisniewski; François Yvon (EACL, 2012)

LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets. - Artem Sokolov (SemEval@NAACL-HLT, 2012)

WSD for n-best reranking and local language modeling in SMT. - Marianna Apidianaki; Guillaume Wisniewski; Artem Sokolov; Aurélien Max; François Yvon (SSST@ACL, 2012)

LIMSI @ WMT12. - Hai Son Le; Thomas Lavergne; Alexandre Allauzen; Marianna Apidianaki; Li Gong; Aurélien Max; Artem Sokolov; Guillaume Wisniewski; François Yvon (WMT@NAACL-HLT, 2012)

PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis. - Sam Ng; Eric A. Collisson; Artem Sokolov; Theodore Goldstein; Abel Gonzalez-Perez; Núria López-Bigas; Christopher Benz; David Haussler; Joshua M. Stuart (Bioinform., 2012)

Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings. - Artem Sokolov; Laura Jehl; Felix Hieber; Stefan Riezler (EMNLP, 2013)

The HDU Discriminative SMT System for Constrained Data PatentMT at NTCIR10. - Patrick Simianer; Gesa Stupperich; Laura Jehl; Katharina Wäschle; Artem Sokolov; Stefan Riezler (NTCIR, 2013)

Combining heterogeneous data sources for accurate functional annotation of proteins. - Artem Sokolov; Christopher S. Funk; Kiley Graim; Karin Verspoor; Asa Ben-Hur (BMC Bioinform., 2013)

Lattice BLEU oracles in machine translation. - Artem Sokolov; Guillaume Wisniewski; François Yvon (ACM Trans. Speech Lang. Process., 2013)

Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval. - Shigehiko Schamoni; Felix Hieber; Artem Sokolov; Stefan Riezler (ACL (2), 2014)

Learning to translate queries for CLIR. - Artem Sokolov; Felix Hieber; Stefan Riezler (SIGIR, 2014)

A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation. - Artem Sokolov; Stefan Riezler; Shay B. Cohen (CoNLL, 2015)

Coactive Learning for Interactive Machine Translation. - Artem Sokolov; Stefan Riezler; Shay B. Cohen (MLIS@ICML, 2015)

Bandit structured prediction for learning from partial feedback in statistical machine translation. - Artem Sokolov; Stefan Riezler; Tanguy Urvoy (MTSummit, 2015)

Learning Structured Predictors from Bandit Feedback for Interactive NLP. - Artem Sokolov; Julia Kreutzer; Christopher Lo; Stefan Riezler (ACL (1), 2016)

A Full-Text Learning to Rank Dataset for Medical Information Retrieval. - Vera Boteva; Demian Gholipour Ghalandari; Artem Sokolov; Stefan Riezler (ECIR, 2016)

Stochastic Structured Prediction under Bandit Feedback. - Artem Sokolov; Julia Kreutzer; Stefan Riezler; Christopher Lo (NIPS, 2016)

One-Class Detection of Cell States in Tumor Subtypes. - Artem Sokolov; Evan O. Paull; Joshua M. Stuart (PSB, 2016)

Stochastic Structured Prediction under Bandit Feedback. - Artem Sokolov; Julia Kreutzer; Stefan Riezler (CoRR, 2016)

Pathway-Based Genomics Prediction using Generalized Elastic Net. - Artem Sokolov; Daniel E. Carlin; Evan O. Paull; Robert Baertsch; Joshua M. Stuart (PLoS Comput. Biol., 2016)

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. - Julia Kreutzer; Artem Sokolov; Stefan Riezler (ACL (1), 2017)

Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation. - Carolin Lawrence; Artem Sokolov; Stefan Riezler (EMNLP, 2017)

A Shared Task on Bandit Learning for Machine Translation. - Artem Sokolov; Julia Kreutzer; Kellen Sunderland; Pavel Danchenko; Witold Szymaniak; Hagen Fürstenau; Stefan Riezler (WMT, 2017)

Sockeye: A Toolkit for Neural Machine Translation. - Felix Hieber; Tobias Domhan; Michael J. Denkowski; David Vilar; Artem Sokolov; Ann Clifton; Matt Post (CoRR, 2017)

The Sockeye Neural Machine Translation Toolkit at AMTA 2018. - Felix Hieber; Tobias Domhan; Michael J. Denkowski; David Vilar; Artem Sokolov; Ann Clifton; Matt Post (AMTA (1), 2018)

Learning to Segment Inputs for NMT Favors Character-Level Processing. - Julia Kreutzer; Artem Sokolov (IWSLT, 2018)

Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction. - Artem Sokolov; Julian Hitschler; Stefan Riezler (CoRR, 2018)

Interrelation Between the Class of Bent-Sequences and the Class of Perfect Binary Arrays. - Artem Sokolov (CMIS, 2019)

Nonlinear Properties of Rijndael S-boxes Represented by the Many-Valued Logic Functions. - Artem Sokolov; Djiofack Temgoua Vanssa Noel (CybHyg, 2019)

Non-linear n-best List Reranking with Few Features. - Artem Sokolov; Guillaume Wisniewski; François Yvon (AMTA, 2020)

Spectral and Nonlinear Properties of the Complete Quaternary Code. - Nadiia Kazakova; Artem Sokolov (CPITS, 2020)

Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization. - Mayumi Ohta; Nathaniel Berger; Artem Sokolov; Stefan Riezler (LOD (2), 2020)

Gender domain adaptation for automatic speech recognition task. - Artem Sokolov; Andrey V. Savchenko (CoRR, 2020)

Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data. - Robert Krüger; Johanna Beyer; Won-Dong Jang; Nam Wook Kim; Artem Sokolov; Peter K. Sorger; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2020)

Prerequisites for Developing a Methodology for Estimating and Increasing Cryptographic Strength based on Many-Valued Logic Functions. - Artem Sokolov; Nadiia Kazakova; Lydia Kuzmenko; Mariia Mahomedova (CPITS I, 2021)

Don't Search for a Search Method - Simple Heuristics Suffice for Adversarial Text Attacks. - Nathaniel Berger; Stefan Riezler; Sebastian Ebert; Artem Sokolov (EMNLP (1), 2021)

Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits. - Julia Kreutzer; David Vilar; Artem Sokolov (EMNLP (Findings), 2021)

Controlling Machine Translation for Multiple Attributes with Additive Interventions. - Andrea Schioppa; David Vilar; Artem Sokolov; Katja Filippova (EMNLP (1), 2021)

Nonlinearity of Many-Valued Logic Component Functions of Modern Cryptographic Algorithms S-boxes. - Nadiia Kazakova; Mikolaj P. Karpinski; Artem Sokolov; Tomasz Gancarczyk (KES, 2021)

Real-time Streaming Wave-U-Net with Temporal Convolutions for Multichannel Speech Enhancement. - Vasiliy Kuzmin; Fyodor Kravchenko; Artem Sokolov; Jie Geng (CoRR, 2021)

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era. - Shahin Amiriparian; Artem Sokolov; Ilhan Aslan; Lukas Christ; Maurice Gerczuk; Tobias Hübner; Dmitry Lamanov; Manuel Milling; Sandra Ottl; Ilya Poduremennykh; Evgeniy Shuranov; Björn W. Schuller (CoRR, 2021)

Fixing exposure bias with imitation learning needs powerful oracles. - Luca Hormann; Artem Sokolov (CoRR, 2021)

Scaling Up Influence Functions. - Andrea Schioppa; Polina Zablotskaia; David Vilar; Artem Sokolov (AAAI, 2022)

The Pseudorandom Key Sequences Generator Based on IV-Sets of Quaternary Bent-Sequences. - Elena Bakunina; Artem Sokolov (CMIS, 2022)

A community-based approach to image analysis of cells, tissues and tumors. - Juan Carlos Vizcarra; Erik A. Burlingame; Clemens B. Hug; Yury Goltsev; Brian S. White; Darren R. Tyson; Artem Sokolov (Comput. Medical Imaging Graph., 2022)

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. - Julia Kreutzer; Isaac Caswell; Lisa Wang; Ahsan Wahab; Daan van Esch; Nasanbayar Ulzii-Orshikh; Allahsera Tapo; Nishant Subramani; Artem Sokolov; Claytone Sikasote; Monang Setyawan; Supheakmungkol Sarin; et al. (Trans. Assoc. Comput. Linguistics, 2022)

Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets. - Irina Bejan; Artem Sokolov; Katja Filippova (EMNLP, 2023)

Hybrid Dataset for Speech Emotion Recognition in Russian Language. - Vladimir Kondratenko; Nikolay Karpov; Artem Sokolov; Nikita Savushkin; Oleg Kutuzov; Fyodor Minkin (INTERSPEECH, 2023)

Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts. - Rebekka Hubert; Artem Sokolov; Stefan Riezler (IWSLT@ACL, 2023)

Paired evaluation of machine-learning models characterizes effects of confounders and outliers. - Maulik K. Nariya; Caitlin E. Mills; Peter K. Sorger; Artem Sokolov (Patterns, 2023)

Correction: Paired evaluation of machine-learning models characterizes effects of confounders and outliers. - Maulik K. Nariya; Caitlin E. Mills; Peter K. Sorger; Artem Sokolov (Patterns, 2023)

Dependence of the Algebraic Nonlinearity of 4-Functions of Two Variables from the Cryptographic Properties of Their Component Boolean Functions (short paper). - Nadiia Kazakova; Artem Sokolov; Nataliia Balandina (CPITS, 2024)

Imitating Language via Scalable Inverse Reinforcement Learning. - Markus Wulfmeier; Michael Bloesch; Nino Vieillard; Arun Ahuja; Jörg Bornschein; Sandy H. Huang; Artem Sokolov; Matt Barnes 001; Guillaume Desjardins; Alex Bewley; Sarah Bechtle; Jost Tobias Springenberg; et al. (NeurIPS, 2024)

3D Audio-Visual Segmentation. - Artem Sokolov; Swapnil Bhosale; Xiatian Zhu (CoRR, 2024)

Cooperative Face Liveness Detection from Optical Flow. - Artem Sokolov; Mikhail Nikitin; Anton Konushin (CoRR, 2025)