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Bobak Pezeshki
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[b1]Bobak Pezeshki:
Advancing AND/OR Abstraction Sampling and AND/OR Search-Based Computational Protein Design. University of California Irvine, USA, 2024
[c5]Vincent Hsiao, Dana S. Nau, Bobak Pezeshki, Rina Dechter:
Surrogate Bayesian Networks for Approximating Evolutionary Games. AISTATS 2024: 2566-2574
[c4]Bobak Pezeshki, Kalev Kask, Alexander Ihler, Rina Dechter:
Value-Based Abstraction Functions for Abstraction Sampling. UAI 2024: 2861-2901- 2023
[c3]Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter:
Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO. UAI 2023: 1662-1672
[i1]Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter:
Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO. CoRR abs/2309.00408 (2023)- 2022
[c2]Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter:
AND/OR branch-and-bound for computational protein design optimizing K. UAI 2022: 1602-1612- 2020
[c1]Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter:
Scaling Up AND/OR Abstraction Sampling. IJCAI 2020: 4266-4274
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