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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Ma, A., Farahmand, A.-M., Pan, Y., Torr, P., & Gu, J. (2024, September). Improving Adversarial Transferability via Model Alignment [Paper]. 18th European Conference on Computer Vision (ECCV 2024), Milan, Italy. External link
Ma, A., Pan, Y., & Farahmand, A.-M. (2023). Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. Transactions on Machine Learning Research, 57 pages. External link
Pan, Y., Mei, J., Farahmand, A.-M., White, M., Yao, H., Rohani, M., & Luo, J. (2022, August). Understanding and mitigating the limitations of prioritized experience replay [Paper]. 38th Conference on Uncertainty in Artificial Intelligence (UIA 2022), Eindhoven, The Netherlands. External link
Pan, Y., Mei, J., & Farahmand, A.-M. (2020, April). Frequency-based search-control in Dyna [Paper]. 8th International Conference on Learning Representations (ICLR 2020), En ligne / Online (21 pages). External link
Pan, Y., Imani, E., Farahmand, A.-M., & White, M. (2020, December). An implicit function learning approach for parametric modal regression [Paper]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), En ligne / Online (11 pages). External link
Pan, Y., Yao, H., Farahmand, A.-M., & White, M. (2019, August). Hill climbing on value estimates for search-control in Dyna [Paper]. 28th International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China. Unavailable
Pan, Y., Farahmand, A.-M., White, M., Nabi, S., Gover, P., & Nikovski, D. (2018, July). Reinforcement learning with function-valued action spaces for partial differential equation control [Paper]. 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden. External link
Zhao, X., Pan, Y., Xiao, C., Anbil Parthipan, S. C., & Rajendran, J. (2023, July). Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning [Paper]. 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA. External link
