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Alexander Du

2 accepted papers

2026

FrontierCS: Evolving Challenges for Evolving Intelligence

ICML 2026poster

We introduce FrontierCS, a benchmark of 240 open-ended problems across diverse areas of computer science, designed and reviewed by experts, including CS PhDs and top-tier competitive programming participants and problem setters. Unlike existing benchmarks that focus on tasks with known optimal solut…

Cited by 0SourceScholar
2026

GATO: GPU-Accelerated and Batched Trajectory Optimization for Scalable Edge Model Predictive Control

ICRA 2026poster

While Model Predictive Control (MPC) delivers strong performance across robotics applications, solving the underlying (batches of) nonlinear trajectory optimization (TO) problems online remains computationally demanding. Existing GPU-accelerated approaches either parallelize single solves, handle la…