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Publications

1. Vezhnevets, Alexander Sasha, Agapiou, John P, Aharon, Avia, Ziv, Ron, Matyas, Jayd, Dueñez-Guzmán, Edgar A, Cunningham, William A, Osindero, Simon, Karmon, Danny, and Leibo, Joel Z. "Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia." arXiv preprint arXiv:2312.03664, 2023.

2. Vinitsky, Eugene, Köster, Raphael, Agapiou, John P, Dueñez-Guzmán, Edgar A, Vezhnevets, Alexander S, and Leibo, Joel Z. "A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings." Collective Intelligence, vol. 2, no. 2, pp. 26339137231162025, SAGE Publications, 2023.

3. Sunehag, Peter, Vezhnevets, Alexander Sasha, Dueñez-Guzmán, Edgar, Mordach, Igor, and Leibo, Joel Z. "Diversity through exclusion (DTE): niche identification for reinforcement learning through value-decomposition." arXiv preprint arXiv:2302.01180, 2023.

4. Agapiou, John P, Vezhnevets, Alexander Sasha, Dueñez-Guzmán, Edgar A, Matyas, Jayd, Mao, Yiran, Sunehag, Peter, Köster, Raphael, Madhushani, Udari, Kopparapu, Kavya, Comanescu, Ramona, et al. "Melting Pot 2.0." arXiv preprint arXiv:2211.13746, 2022.

5. Kopparapu, Kavya, Dueñez-Guzmán, Edgar A, Matyas, Jayd, Vezhnevets, Alexander Sasha, Agapiou, John P, McKee, Kevin R, Everett, Richard, Marecki, Janusz, Leibo, Joel Z, and Graepel, Thore. "Hidden agenda: a social deduction game with diverse learned equilibria." arXiv preprint arXiv:2201.01816, 2022.

6. Leibo, Joel Z, Vezhnevets, Alexander Sasha, Eckstein, Maria K, Agapiou, John P, and Dueñez-Guzmán, Edgar A. "Learning agents that acquire representations of social groups." Behavioral & Brain Sciences, vol. 45, pp. e111, 2022.

7. Leibo, Joel Z, Köster, Raphael, Vezhnevets, Alexander Sasha, Dueñez-Guzmán, Edgar A, and Agapiou, John P, Sunehag, Peter. "What is the simplest model that can account for high-fidelity imitation?" Behavioral & Brain Sciences, vol. 45, 2022.

8. Dueñez-Guzmán, Edgar A, McKee, Kevin R, Mao, Yiran, Coppin, Ben, Chiappa, Silvia, Vezhnevets, Alexander Sasha, Bakker, Michiel A, Bachrach, Yoram, Sadedin, Suzanne, and Isaac, William. "Statistical discrimination in learning agents." arXiv preprint arXiv:2110.11404, 2021.

9. Leibo, Joel Z, Dueñez-Guzman, Edgar A, Vezhnevets, Alexander, Agapiou, John P, Sunehag, Peter, Koster, Raphael, Matyas, Jayd, Beattie, Charlie, Mordatch, Igor, and Graepel, Thore. "Scalable evaluation of multi-agent reinforcement learning with melting pot." International conference on machine learning, pp. 6187-6199, PMLR, 2021.

10. Vezhnevets, Alexander, Wu, Yuhuai, Eckstein, Maria, Leblond, Rémi, and Leibo, Joel Z. "Options as responses: Grounding behavioural hierarchies in multi-agent reinforcement learning." International Conference on Machine Learning, pp. 9733-9742, PMLR, 2020.

11. Vinyals, Oriol, Babuschkin, Igor, Czarnecki, Wojciech M, Mathieu, Michaël, Dudzik, Andrew, Chung, Junyoung, Choi, David H, Powell, Richard, Ewalds, Timo, and Georgiev, Petko. "Grandmaster level in StarCraft II using multi-agent reinforcement learning." Nature, vol. 575, no. 7782, pp. 350-354, Nature Publishing Group, 2019.

12. Vinyals, Oriol, Ewalds, Timo, Bartunov, Sergey, Georgiev, Petko, Vezhnevets, Alexander Sasha, Yeo, Michelle, Makhzani, Alireza, Kuttler, Heinrich, Agapiou, John, and Schrittwieser, Julian. "Starcraft ii: A new challenge for reinforcement learning." arXiv preprint arXiv:1708.04782, 2017.

13. Vezhnevets, Alexander Sasha, Osindero, Simon, Schaul, Tom, Heess, Nicolas, Jaderberg, Max, Silver, David, and Kavukcuoglu, Koray. "FeUdal Networks for Hierarchical Reinforcement Learning." ICML, 2017.

14. Vezhnevets, Alexander, Mnih, Volodymyr, Agapiou, John, Osindero, Simon, Graves, Alex, Vinyals, Oriol, and Kavukcuoglu, Koray. "Strategic Attentive Writer for Learning Macro-Actions." arXiv preprint arXiv:1606.04695, 2016.

15. Modolo, Davide, Vezhnevets, Alexander, Russakovsky, Olga, and Ferrari, Vittorio. "Joint calibration of ensemble of exemplar SVMs." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3955-3963, 2015.

16. Modolo, Davide, Vezhnevets, Alexander, and Ferrari, Vittorio. "Context forest for efficient object detection with large mixture models." arXiv preprint arXiv:1503.00787, 2015.

17. Vezhnevets, Alexander, and Ferrari, Vittorio. "Looking out of the window: object localization by joint analysis of all windows in the image." CoRR, abs/1501.01181, vol. 4, 2015.

18. Gonzalez-Garcia, Abel, Vezhnevets, Alexander, and Ferrari, Vittorio. "An active search strategy for efficient object class detection." Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3022-3031, 2015.

19. Modolo, Davide, Vezhnevets, Alexander, and Ferrari, Vittorio. "Context forest for object class detection." British Machine Vision Conference 2015, pp. 188, 2015.

20. Mahapatra, Dwarikanath, Vezhnevets, Alexander, Schuffler, Peter J, Tielbeek, Jeroen AW, Vos, Franciscus M, and Buhmann, Joachim M. "Weakly Supervised Semantic Segmentation of Crohn's Disease Tissues from Abnominal MRI." International Symposium on Biomedical Imaging, 2013.

21. Laptev, Dmitry, Vezhnevets, Alexander, Dwivedi, Sarvesh, and Buhmann, Joachim M. "Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections." Medical Image Computing and Computer Assisted Intervention (MICCAI), 2012.

22. Vezhnevets, Alexander, Ferrari, Vittorio, and Buhmann, Joachim M. "Weakly Supervised Structured Output Learning for Semantic Segmentation." Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 2012.

23. Vezhnevets, Alexander, Buhmann, Joachim M, and Ferrari, Vittorio. "Active Learning for Semantic Segmentation with Expected Change." Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 2012.

24. Lomakina, EI, Mathys, C, Brodersen, KH, Vezhnevets, A, Stephan, Klaas, and Buhmann, Joachim M. "Inference on computational models using bayesian global optimization." Proceedings of Human Brain Mapping 2012, 2012.

25. Vezhnevets, Alexander. "Weakly supervised semantic segmentation of natural images." PhD thesis, ETH Zurich, 2012.

26. Vezhnevets, Alexander, Ferrari, Vittorio, and Buhmann, Joachim. "Weakly Supervised Semantic Segmentation with a Multi-image Model." Computer Vision (ICCV), 2011 IEEE International Conference on, pp. 3249-3256, IEEE, 2011.

27. Vezhnevets, Alexander, and Buhmann, Joachim M. "Agnostic domain adaptation." Joint Pattern Recognition Symposium, pp. 376-385, Springer Berlin Heidelberg, 2011.

28. Gavrishchaka, VV, Barinova, OV, Vezhnevets, AP, and Monina, MA. "Discovery of multi-component portfolio strategies with continuous tuning to the changing market micro-regimes using input-dependent boosting." WIT Transactions on Information and Communication Technologies, vol. 41, pp. 127-146, WIT Press, 2008.

29. Barinova, Olga, Kuzmishkina, Anna, Vezhnvets, Alexander, and Vezhnevets, Vladimir. "Learning class specific edges for vanishing point estimation." Proc. of Graphicon, pp. 162-165, 2007.

30. Vezhnevets, Alexander, and Vezhnevets, Vladimir. "Learnable Swendsen-Wang Cuts for Image Segmentation." GraphiCon, pp. 96-103, 2007.

31. Vezhnevets, Alexander, and Barinova, Olga. "Avoiding boosting overfitting by removing confusing samples." Machine Learning: ECML 2007, pp. 430-441, Springer, 2007.

32. Vezhnevets, A, and Vezhnevets, V. "Modest adaboost: teaching AdaBoost to generalize better." GraphiCon, 2005.

33. Veznevets, V, Shorgin, R, and Vezhnevets, A. "Mouse control via user's head movements." 2006.

34. Vezhnevets, Alexander, and Vezhnevets, V. "GML AdaBoostMatlab Toolbox Manual." Moscow: MSU Graphics & Media Lab, 2010.

35. Vezhnevets, Alexander, Ferrari, Vittorio, and Buhmann, Joachim M. "Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning." Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp. 3249-3256, IEEE, 2010.