@article{bottcher2023control,
  title={Control of dual-sourcing inventory systems using recurrent neural networks},
  author={B{\"o}ttcher, Lucas and Asikis, Thomas and Fragkos, Ioannis},
  journal={INFORMS Journal on Computing},
  volume={35},
  number={6},
  pages={1308--1328},
  year={2023}
}

@article{sun2019robust,
  title={Robust dual sourcing inventory management: Optimality of capped dual index policies and smoothing},
  author={Sun, Jiankun and Van Mieghem, Jan A},
  journal={Manufacturing \& Service Operations Management},
  volume={21},
  number={4},
  pages={912--931},
  year={2019}
}

@article{barankin1961delivery,
  author    = {Barankin, Edward},
  title     = {A delivery-lag inventory model with an emergency provision},
  journal   = {Naval Research Logistics Quarterly},
  volume    = {8},
  pages     = {285--311},
  year      = {1961}
}

@article{fukuda1964optimal,
  author    = {Fukuda, Yasunari},
  title     = {Optimal policies for the inventory problem with negotiable leadtime},
  journal   = {Management Science},
  volume    = {10},
  number    = {4},
  pages     = {690--708},
  year      = {1964}
}

@inproceedings{yang2022injecting,
  author       = {Zhun Yang and
                  Joohyung Lee and
                  Chiyoun Park},
  editor       = {Kamalika Chaudhuri and
                  Stefanie Jegelka and
                  Le Song and
                  Csaba Szepesv{\'{a}}ri and
                  Gang Niu and
                  Sivan Sabato},
  title        = {Injecting logical constraints into neural networks via straight-through
                  estimators},
  booktitle    = {{I}nternational {C}onference on {M}achine {L}earning, {ICML} 2022, 17-23 {J}uly
                  2022, {B}altimore, {M}aryland, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {162},
  pages        = {25096--25122},
  publisher    = {{PMLR}},
  year         = {2022},
  url          = {https://proceedings.mlr.press/v162/yang22h.html}
}

@inproceedings{asikis2023multi,
  author    = {Thomas Asikis},
  title     = {Towards recommendations for value sensitive sustainable consumption},
  booktitle = {{N}eur{IPS} 2023 {W}orkshop on {T}ackling {C}limate {C}hange with {M}achine {L}earning: {B}lending {N}ew and {E}xisting {K}nowledge {S}ystems},
  year      = {2023},
  url       = {https://nips.cc/virtual/2023/76939},
}

@article{bottcher2024control,
  title={Control of medical digital twins with artificial neural networks},
  author={B{\"o}ttcher, Lucas and Fonseca, Luis L and Laubenbacher, Reinhard C},
  journal={arXiv preprint arXiv:2403.13851},
  year={2024}
}

@inproceedings{bottcher2023gradient,
  title={Gradient-free training of neural {ODE}s for system identification and control using ensemble {K}alman inversion},
  author={B{\"o}ttcher, Lucas},
  booktitle={ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, Honolulu, HI, USA, 2023},
  year={2023}
}

@article{mowlavi2023optimal,
  title={Optimal control of {PDE}s using physics-informed neural networks},
  author={Mowlavi, Saviz and Nabi, Saleh},
  journal={Journal of Computational Physics},
  volume={473},
  pages={111731},
  year={2023}
}

@article{bottcher2022near,
  title={Near-optimal control of dynamical systems with neural ordinary differential equations},
  author={B{\"o}ttcher, Lucas and Asikis, Thomas},
  journal={Machine Learning: Science and Technology},
  volume={3},
  number={4},
  pages={045004},
  year={2022}
}

@article{bottcher2022ai,
  title={{AI} {P}ontryagin or how artificial neural networks learn to control dynamical systems},
  author={B{\"o}ttcher, Lucas and Antulov-Fantulin, Nino and Asikis, Thomas},
  journal={Nature Communications},
  volume={13},
  number={1},
  pages={1--9},
  year={2022}
}

@article{asikis2022neural,
  title={Neural ordinary differential equation control of dynamics on graphs},
  author={Asikis, Thomas and B{\"o}ttcher, Lucas and Antulov-Fantulin, Nino},
  journal={Physical Review Research},
  volume={4},
  number={1},
  pages={013221},
  year={2022}
}

@article{wang1998runge,
  title={{R}unge--{K}utta neural network for identification of dynamical systems in high accuracy},
  author={Wang, Yi-Jen and Lin, Chin-Teng},
  journal={IEEE Transactions on Neural Networks},
  volume={9},
  number={2},
  pages={294--307},
  year={1998}
}
@inproceedings{ChenRBD18,
  author    = {Tian Qi Chen and
               Yulia Rubanova and
               Jesse Bettencourt and
               David Duvenaud},
  editor    = {Samy Bengio and
               Hanna M. Wallach and
               Hugo Larochelle and
               Kristen Grauman and
               Nicol{\`{o}} Cesa{-}Bianchi and
               Roman Garnett},
  title     = {Neural ordinary differential equations},
  booktitle = {{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems 31: {A}nnual {C}onference
               on {N}eural {I}nformation {P}rocessing {S}ystems 2018, {N}eur{IPS} 2018, {D}ecember
               3-8, 2018, {M}ontr{\'{e}}al, {C}anada},
  pages     = {6572--6583},
  year      = {2018},
  url       = {https://proceedings.neurips.cc/paper/2018/hash/69386f6bb1dfed68692a24c8686939b9-Abstract.html}
}

@article{fronk2023interpretable,
  title={Interpretable polynomial neural ordinary differential equations},
  author={Fronk, Colby and Petzold, Linda},
  journal={Chaos: An Interdisciplinary Journal of Nonlinear Science},
  volume={33},
  number={4},
  year={2023}
}

@inproceedings{paszke2017automatic,
  title={Automatic differentiation in {P}y{T}orch},
  author={Paszke, Adam and Gross, Sam and Chintala, Soumith and Chanan, Gregory and Yang, Edward and DeVito, Zachary and Lin, Zeming and Desmaison, Alban and Antiga, Luca and Lerer, Adam},
  booktitle={{NIPS} 2017 {A}utodiff {W}orkshop},
  year={2017}
}

@inproceedings{PaszkeGMLBCKLGA19,
  author       = {Adam Paszke and
                  Sam Gross and
                  Francisco Massa and
                  Adam Lerer and
                  James Bradbury and
                  Gregory Chanan and
                  Trevor Killeen and
                  Zeming Lin and
                  Natalia Gimelshein and
                  Luca Antiga and
                  Alban Desmaison and
                  Andreas K{\"{o}}pf and
                  Edward Z. Yang and
                  Zachary DeVito and
                  Martin Raison and
                  Alykhan Tejani and
                  Sasank Chilamkurthy and
                  Benoit Steiner and
                  Lu Fang and
                  Junjie Bai and
                  Soumith Chintala},
  editor       = {Hanna M. Wallach and
                  Hugo Larochelle and
                  Alina Beygelzimer and
                  Florence d'Alch{\'{e}}{-}Buc and
                  Emily B. Fox and
                  Roman Garnett},
  title        = {{P}y{T}orch: An imperative style, high-performance deep learning library},
  booktitle    = {{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems 32: {A}nnual {C}onference
               on {N}eural {I}nformation {P}rocessing {S}ystems 2019, {N}eur{IPS} 2019, {D}ecember
                  8-14, 2019, {V}ancouver, {BC}, {C}anada},
  pages        = {8024--8035},
  year         = {2019},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/bdbca288fee7f92f2bfa9f7012727740-Abstract.html}
}

@article{song2020capacity,
  title={Capacity and inventory management: Review, trends, and projections},
  author={Song, Jing-Sheng and Van Houtum, Geert-Jan and Van Mieghem, Jan A},
  journal={Manufacturing \& Service Operations Management},
  volume={22},
  number={1},
  pages={36--46},
  year={2020}
}

@incollection{xin2023dual,
  title={Dual-sourcing, dual-mode dynamic stochastic inventory models},
  author={Xin, Linwei and Van Mieghem, Jan A},
  booktitle={{R}esearch {H}andbook on {I}nventory {M}anagement},
  pages={165--190},
  year={2023},
  publisher={Edward Elgar Publishing},
  address={Cheltenham, UK}
}

@inproceedings{dyer2023,
  author       = {Joel Dyer and
                  Arnau Quera{-}Bofarull and
                  Ayush Chopra and
                  J. Doyne Farmer and
                  Anisoara Calinescu and
                  Michael J. Wooldridge},
  title        = {Gradient-assisted calibration for financial agent-based models},
  booktitle    = {4th {ACM} {I}nternational {C}onference on {AI} in {F}inance, {ICAIF} 2023,
                  {B}rooklyn, {NY}, {USA}, {N}ovember 27-29, 2023},
  pages        = {288--296},
  publisher    = {{ACM}},
  year         = {2023}
}

