Farshud Sorourifar

11 papers C 4Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generative Multi-Objective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design.
CoRR
Madhav Muthyala, Farshud Sorourifar, Tianhong Tan, You Peng, Joel A. Paulson
2025 C conf
Navigating the Trade-offs and Synergies of Economic and Environmental Sustainability Using Process Systems Engineering.
ACC
Qi Zhang, Styliani Avraamidou, Joel A. Paulson, Vyom Thakker, Zhenyu Wang, Leo Chiang, Birgit Braun, Tushar Rathi, Ankush Chakrabarty, Farshud Sorourifar, Wei-Ting Tang, Paola Munoz, Apoorva Sampat, France Guertin
2025 J jnl
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond.
CoRR
Madhav Muthyala, Farshud Sorourifar, You Peng, Joel A. Paulson
2024 J jnl
Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces.
CoRR
Farshud Sorourifar, Thomas Banker, Joel A. Paulson
2024 — conf
Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems.
CCTA
Farshud Sorourifar, Joel A. Paulson, Ye Wang, Rien Quirynen, Christopher R. Laughman, Ankush Chakrabarty
2024 J jnl
TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model Discovery.
CoRR
Madhav Muthyala, Farshud Sorourifar, Joel A. Paulson
2023 C conf
A Tutorial on Derivative-Free Policy Learning Methods for Interpretable Controller Representations.
ACC
Joel A. Paulson, Farshud Sorourifar, Ali Mesbah
2023 C conf
LSR-BO: Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems.
ACC
Joel A. Paulson, Farshud Sorourifar, Christopher R. Laughman, Ankush Chakrabarty
2022 — conf
Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints.
CDC
Joel A. Paulson, Farshud Sorourifar, Ankush Chakrabarty
2022 C conf
Efficient Robust Global Optimization for Simulation-based Problems using Decomposed Gaussian Processes: Application to MPC Calibration.
ACC
Akshay Kudva, Farshud Sorourifar, Joel A. Paulson
2020 J jnl
A Data-Driven Automatic Tuning Method for MPC under Uncertainty using Constrained Bayesian Optimization.
CoRR
Farshud Sorourifar, Georgios Makrygirgos, Ali Mesbah, Joel A. Paulson