input convex neural network

Improving EV Aggregate Flexibility with End-to-End Learning L4DC 2026 Fast and Reliable $N - k$ Contingency Screening with Input-Convex Neural Networks L4DC 2025 Learning Generalized Linear Programming Value Functions NeurIPS 2024 On a Neural Implementation of Brenier’s Polar Factorization ICML 2024 Asymmetric Certified Robustness via Feature-Convex Neural Networks NeurIPS 2023 Deep Value Function Networks for Large-Scale Multistage Stochastic Programs AISTATS 2023 Neural Bregman Divergences for Distance Learning ICLR 2023 Principled Weight Initialisation for Input-Convex Neural Networks NeurIPS 2023 The Monge Gap: A Regularizer to Learn All Transport Maps ICML 2023 Multivariate Quantile Function Forecaster AISTATS 2022 Supervised Training of Conditional Monge Maps NeurIPS 2022 Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization ICLR 2021 Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark NeurIPS 2021 Input Convex Neural Networks for Building MPC L4DC 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks ICML 2021 Optimal transport mapping via input convex neural networks ICML 2020 Optimal Control Via Neural Networks: A Convex Approach ICLR 2019 Input Convex Neural Networks ICML 2017