Milpitas
PulseAugur coverage of Milpitas — every cluster mentioning Milpitas across labs, papers, and developer communities, ranked by signal.
No coverage in the last 90 days.
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New CP method optimizes counterfactual explanations for tree ensembles
Researchers have developed a new constraint programming (CP) formulation called CPCF for computing optimal counterfactual explanations in tree ensembles. This method encodes numerical features as interval domains and di…
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Hybrid CDCL and CP-SAT architecture accelerates facility layout optimization
Researchers have developed a hybrid architecture combining Conflict-Driven Clause Learning (CDCL) and CP-SAT solvers to accelerate discrete facility layout optimization. While CDCL excels at quickly finding feasible sol…
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Researchers develop semi-Markov RL for EV ride-hailing, boosting profits and ensuring feasibility.
Researchers have developed a novel Semi-Markov Reinforcement Learning approach for managing large-scale electric vehicle ride-hailing fleets. This method ensures that dispatch, repositioning, and charging decisions stri…
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Researchers develop new training methods for neural networks to improve MILP tractability
Researchers have developed new training regularizers for neural network surrogate models that directly improve their tractability within mixed-integer linear programs (MILPs). These regularizers penalize factors like bi…
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AI framework blends LSTM and MILP for improved supply chain forecasting and optimization
Researchers have developed a novel Hybrid AI Framework for Demand-Supply Forecasting and Optimization (HAF-DS) to improve supply chain efficiency in volatile industries. This framework integrates a Long Short-Term Memor…