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Glauber Dynamics for Ising Model on Convergent Dense Graph Sequences.

R. Acharyya, и D. Stefankovic. APPROX-RANDOM, том 81 из LIPIcs, стр. 23:1-23:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)

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Amit Acharyya

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Detecting Low Self-Esteem in Youths from Web Search Data.A. Zaman, R. Acharyya, H. Kautz, и V. Silenzio. WWW, стр. 2270-2280. ACM, (2019)Statistical mechanical analysis of neural network pruning.R. Acharyya, A. Chattoraj, B. Zhang, S. Das, и D. Stefankovic. UAI, том 161 из Proceedings of Machine Learning Research, стр. 1988-1997. AUAI Press, (2021)Infinite-Label Learning with Semantic Output Codes.Y. Zhang, R. Acharyya, J. Liu, и B. Gong. CoRR, (2016)Counting Popular Matchings in House Allocation Problems.R. Acharyya, S. Chakraborty, и N. Jha. CSR, том 8476 из Lecture Notes in Computer Science, стр. 39-51. Springer, (2014)Detection and Mitigation of Bias in Ted Talk Ratings.R. Acharyya, S. Das, A. Chattoraj, O. Sengupta, и M. Tanveer. CoRR, (2020)Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public Speeches.R. Acharyya, A. Chattoraj, S. Das, M. Tanveer, и E. Hoque. CoRR, (2020)Glauber Dynamics for Ising Model on Convergent Dense Graph Sequences.R. Acharyya, и D. Stefankovic. APPROX-RANDOM, том 81 из LIPIcs, стр. 23:1-23:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms.P. Liu, R. Acharyya, R. Tillman, S. Kimura, N. Masuda, и A. Sariyüce. CoRR, (2023)FairyTED: A Fair Rating Predictor for TED Talk Data.R. Acharyya, S. Das, A. Chattoraj, и M. Tanveer. AAAI, стр. 338-345. AAAI Press, (2020)

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Amit Acharyya

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