publications.bib

@inproceedings{he2019efficient,
  title={Efficient and scalable multi-task regression on massive number of tasks},
  author={He, Xiao and Alesiani, Francesco and Shaker, Ammar},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={33},
  number={01},
  pages={3763--3770},
  year={2019}
}

@article{abdrabouvtc2013,
  title={VTC2013-Spring Technical Programme Committee},
  author={Abdrabou, Atef and Abraham, Shiny and Adachi, Fumiyuki and Affes, Sofiene and Aguiar, Javier and Ahmed, Mohamed Hossam and Aitsaadi, Nadjib and Akan, Ozgur and Akoum, Salam and Candreva, Enzo Alberto and others}
}

@techreport{solberg2007cvis,
  title={CVIS. D. 3.3 Architecture and System Specifications},
  author={Solberg, Arnor and PTV, Andreas Schmid and Baggen, Mick and Alesiani, Francesco},
  year={2007},
  institution={Technical report, The CVIS project}
}

@article{gkiotsalitis2019robust,
  title={Robust timetable optimization for bus lines subject to resource and regulatory constraints},
  author={Gkiotsalitis, K and Alesiani, F},
  journal={Transportation Research Part E: Logistics and Transportation Review},
  volume={128},
  pages={30--51},
  year={2019},
  publisher={Elsevier}
}

@misc{alesiani2021method,
  title={Method for verifying information},
  author={Alesiani, Francesco and Gajek, Sebastian},
  year={2021},
  month=feb # "~2",
  note={US Patent 10,911,235}
}

@inproceedings{alesiani2001performance,
  title={Performance of adaptive modulation techniques in the UMTS system},
  author={Alesiani, Francesco and Biglieri, Ezio and Taricco, Giorgio and Viterbo, Emanuele},
  booktitle={GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No. 01CH37270)},
  volume={2},
  pages={1272--1276},
  year={2001},
  organization={IEEE}
}

@misc{moreira2018method,
  title={Method for incident detection in a time-evolving system},
  author={Moreira-Matias, Luis and Alesiani, Francesco},
  year={2018},
  month=mar # "~15",
  publisher={Google Patents},
  note={US Patent App. 15/565,693}
}

@inproceedings{alesiani2014probabilistic,
  title={A probabilistic activity model for predicting the mobility patterns of homogeneous social groups based on social network data},
  author={Alesiani, Francesco and Gkiotsalitis, Konstantinos and Baldessari, Roberto},
  booktitle={Proc. 93rd Annu. Meeting Transp. Res. Board},
  year={2014}
}

@inproceedings{franco2009print,
  title={Print--Demonstrator 1 Negotiated Priority at Intersections: The Oslo Case Study},
  author={Franco, Gino and Tveit, Orjan and Alesiani, Francesco},
  booktitle={16th ITS World Congress and Exhibition on Intelligent Transport Systems and ServicesITS AmericaERTICOITS Japan},
  year={2009}
}

@inproceedings{alesiani2009blind,
  title={Blind receiver for space-time differentially-encoded CDMA systems on multipath fading channels},
  author={Alesiani, Francesco and Tarable, Alberto},
  booktitle={2009 7th International Conference on Information, Communications and Signal Processing (ICICS)},
  pages={1--5},
  year={2009},
  organization={IEEE}
}

@article{alesianisubproject,
  title={SubProject No. SP2 SubProject Title Core Technology Integration Workpackage No. WP2. 5 Workpackage Title Integration and Verification Task No. 2.5. 3 Task Title Verification test of},
  author={Alesiani, F and Zahariev, N}
}

@misc{gajek2021method,
  title={Method and system for reliable computation of a program},
  author={Gajek, Sebastian and Alesiani, Francesco},
  year={2021},
  month=mar # "~2",
  note={US Patent 10,936,720}
}

@misc{he2023method,
  title={Method and system for scalable multi-task learning with convex clustering},
  author={He, Xiao and Alesiani, Francesco and Shaker, Ammar},
  year={2023},
  month=may # "~23",
  note={US Patent 11,657,322}
}

@inproceedings{alesiani2009optimal,
  title={Optimal Speed Profile Trajectory Computation for Vehicle Approach at Intersection with Adaptive Traffic Control},
  author={Alesiani, Francesco and Franco, Gino},
  booktitle={16th ITS World Congress and Exhibition on Intelligent Transport Systems and ServicesITS AmericaERTICOITS Japan},
  year={2009}
}

@inproceedings{alesiani2009regional,
  title={Regional Scale Real-Time Origin-Destination Matrix Estimation Technique and Deployment Results},
  author={Alesiani, Francesco and Deflorio, Francesco Paolo},
  booktitle={16th ITS World Congress and Exhibition on Intelligent Transport Systems and ServicesITS AmericaERTICOITS Japan},
  year={2009}
}

@misc{wuthishuwong2022method,
  title={Method for predicting a motion of an object},
  author={Wuthishuwong, Chairit and Alesiani, Francesco},
  year={2022},
  month=apr # "~12",
  note={US Patent 11,300,663}
}

@inproceedings{alesiani2016locally,
  title={Locally growing rapid tree (LGRT) motion planning for autonomous driving},
  author={Alesiani, Francesco and Wuthishuwong, Chairit},
  booktitle={2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)},
  pages={1120--1125},
  year={2016},
  organization={IEEE}
}

@misc{alesiani2020method,
  title={Method for motion planning for autonomous moving objects},
  author={Alesiani, Francesco and Wuthishuwong, Chairit},
  year={2020},
  month=oct # "~13",
  note={US Patent 10,802,494}
}

@inproceedings{gkiotsalitis2014opportunistic,
  title={Opportunistic solution-space reduction techniques for reducing the time complexity of dynamic speed control with microsimulation on motorways},
  author={Gkiotsalitis, Konstantinos and Alesiani, Francesco},
  booktitle={17th International IEEE Conference on Intelligent Transportation Systems (ITSC)},
  pages={1788--1795},
  year={2014},
  organization={IEEE}
}

@inproceedings{moreira2015drift3flow,
  title={Drift3flow: Freeway-incident prediction using real-time learning},
  author={Moreira-Matias, Luis and Alesiani, Francesco},
  booktitle={2015 IEEE 18th international conference on intelligent transportation systems},
  pages={566--571},
  year={2015},
  organization={IEEE}
}

@techreport{baggen2007d,
  title={D. FOAM. 3.1 Architecture and System Specifications},
  author={Baggen, Mick and Withagen, Gijs and Venema, Nol and Larsson, Christer and Alesiani, Francesco and Wildschutte, Florian and Kung, Antonio},
  year={2007},
  institution={Technical report, The CVIS project}
}

@misc{alesiani2019method,
  title={Method for robust control of a machine learning system and robust control system},
  author={Alesiani, Francesco and Gkiotsalitis, Konstantinos},
  year={2019},
  month=dec # "~31",
  publisher={Google Patents},
  note={US Patent 10,522,036}
}

@misc{gkiotsalitis2018method,
  title={Method and system for providing demand-responsive dispatching of a fleet of transportation vehicles, and a mobility-activity processing module for providing a mobility trace database},
  author={Gkiotsalitis, Konstantinos and Alesiani, Francesco and Maslekar, Nitin},
  year={2018},
  month=apr # "~24",
  publisher={Google Patents},
  note={US Patent 9,953,539}
}

@inproceedings{alesiani2003differential,
  title={Differential space-time CDMA with turbo decoding},
  author={Alesiani, Francesco and Tarable, Alberto},
  booktitle={GLOBECOM'03. IEEE Global Telecommunications Conference (IEEE Cat. No. 03CH37489)},
  volume={2},
  pages={616--620},
  year={2003},
  organization={IEEE}
}

@inproceedings{alesiani2016remote,
  title={Remote testimony: How to trust an autonomous vehicle},
  author={Alesiani, Francesco and Gajek, Sebastian},
  booktitle={2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)},
  pages={1--5},
  year={2016},
  organization={IEEE}
}

@incollection{alesiani2008mapping,
  title={MAPPING TRAFFIC MANAGEMENT SYSTEMS DATA INTO DETAILED NAVIGATION NETWORKS.},
  author={Alesiani, Francesco and Deflorio, Francesco and others},
  booktitle={Titolo volume non avvalorato},
  pages={1--12},
  year={2008}
}

@article{alesianid242,
  title={D242. 213 (D2. 13) Final report ecoMessages},
  author={Alesiani, Francesco and Martin, Ola}
}

@inproceedings{gkiotsalitis2014educated,
  title={Educated rules for the prediction of human mobility patterns based on sparse social media and mobile phone data},
  author={Gkiotsalitis, Konstantinos and Alesiani, Francesco and Baldessari, Roberto},
  booktitle={Transportation Research Board 93rd Annual Meeting},
  number={14-0745},
  year={2014}
}

@inproceedings{zahariev2013real,
  title={Real-Time Eco-Driving Prototype},
  author={Zahariev, Nikola and Alesiani, Francesco},
  booktitle={20th ITS World CongressITS Japan},
  year={2013}
}

@article{alesiani2018learning,
  title={On learning from inaccurate and incomplete traffic flow data},
  author={Alesiani, Francesco and Moreira-Matias, Luis and Faizrahnemoon, Mahsa},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={19},
  number={11},
  pages={3698--3708},
  year={2018},
  publisher={IEEE}
}

@inproceedings{alesiani2018reinforcement,
  title={Reinforcement learning-based bus holding for high-frequency services},
  author={Alesiani, Francesco and Gkiotsalitis, Konstantinos},
  booktitle={2018 21st International Conference on Intelligent Transportation Systems (ITSC)},
  pages={3162--3168},
  year={2018},
  organization={IEEE}
}

@article{alesiani2014optimization,
  title={Optimization of charging stops for fleet of electric vehicles: A genetic approach},
  author={Alesiani, Francesco and Maslekar, Nitin},
  journal={IEEE Intelligent transportation systems magazine},
  volume={6},
  number={3},
  pages={10--21},
  year={2014},
  publisher={IEEE}
}

@misc{alesiani2019system,
  title={System and method for real-time large image homography processing},
  author={Alesiani, Francesco and Singh, Ankur},
  year={2019},
  month=dec # "~3",
  publisher={Google Patents},
  note={US Patent 10,497,145}
}

@misc{alesiani2018method,
  title={Method for the continuous processing of two-level data on a system with a plurality of nodes},
  author={Alesiani, Francesco and Maslekar, Nitin},
  year={2018},
  month=may # "~1",
  publisher={Google Patents},
  note={US Patent 9,959,290}
}

@article{agamennoni20142014,
  title={2014 Index IEEE Intelligent Transportation Systems Magazine Vol. 6},
  author={Agamennoni, G and Alesiani, F and Altintas, O and Alvarez-Pardo, S and Anagnostopoulos, C and Anagnostopoulos, CNE and Anaya, J and Appenrodt, N and Baouche, F and Barth, M and others},
  year={2014}
}

@inproceedings{gkiotsalitis2018reliable,
  title={Reliable bus dispatching times by coupling Monte Carlo evaluations with a Genetic Algorithm},
  author={Gkiotsalitis, Konstantinos and Alesiani, Francesco},
  booktitle={2018 21st International Conference on Intelligent Transportation Systems (ITSC)},
  pages={926--932},
  year={2018},
  organization={IEEE}
}

@misc{alesiani2019method,
  title={Method and system for determining a path of an object for moving from a starting state to an end state set avoiding one or more obstacles},
  author={Alesiani, Francesco},
  year={2019},
  month=jul # "~30",
  publisher={Google Patents},
  note={US Patent 10,365,110}
}

@article{alesiani12d2,
  title={D2. 13-Final report eCoMessages},
  author={Alesiani, Francesco and Martin, Ola},
  journal={eCoMove, June},
  volume={12}
}

@inproceedings{alesiani2012cooperative,
  title={Cooperative ITS messages for green mobility: an overview from the eCoMove project},
  author={Alesiani, Francesco and Lykkja, Ola Martin and Festag, Andreas and Baldessari, Roberto},
  booktitle={Proceedings of 19th ITS world congress},
  pages={1--8},
  year={2012}
}

@inproceedings{alesiani2015scenario,
  title={A Scenario-Oriented Approach for Noise Detection on Traffic Flow Data},
  author={Alesiani, Mahsa Francesco and Faizrahnemoon, Mahsa and Moreira-Matias, Luis},
  booktitle={2015 IEEE 18th International Conference on Intelligent Transportation Systems},
  pages={143--148},
  year={2015},
  organization={IEEE}
}

@article{yu2020measuring,
  title={Measuring the discrepancy between conditional distributions: Methods, properties and applications},
  author={Yu, Shujian and Shaker, Ammar and Alesiani, Francesco and Principe, Jose C},
  journal={arXiv preprint arXiv:2005.02196},
  year={2020}
}

@misc{alesiani2020method,
  title={Method and system for hyperparameter and algorithm selection for mixed integer linear programming problems using representation learning},
  author={Alesiani, Francesco and Malone, Brandon and Niepert, Mathias},
  year={2020},
  month=jun # "~18",
  note={US Patent App. 16/223,155}
}

@article{yu2020learning,
  title={Learning an interpretable graph structure in multi-task learning},
  author={Yu, Shujian and Alesiani, Francesco and Shaker, Ammar and Yin, Wenzhe},
  journal={arXiv preprint arXiv:2009.05618},
  year={2020}
}

@inproceedings{alesiani2021towards,
  title={Towards interpretable multi-task learning using bilevel programming},
  author={Alesiani, Francesco and Yu, Shujian and Shaker, Ammar and Yin, Wenzhe},
  booktitle={Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14--18, 2020, Proceedings, Part II},
  pages={593--608},
  year={2021},
  organization={Springer International Publishing}
}

@inproceedings{shaker2022modular,
  title={Modular-relatedness for continual learning},
  author={Shaker, Ammar and Alesiani, Francesco and Yu, Shujian},
  booktitle={International Symposium on Intelligent Data Analysis},
  pages={290--301},
  year={2022},
  organization={Springer International Publishing Cham}
}

@inproceedings{yu2021measuring,
  title={Measuring dependence with matrix-based entropy functional},
  author={Yu, Shujian and Alesiani, Francesco and Yu, Xi and Jenssen, Robert and Principe, Jose},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={35},
  number={12},
  pages={10781--10789},
  year={2021}
}

@misc{shaker2023continual,
  title={Continual learning of artificial intelligence systems based on bi-level optimization},
  author={Shaker, Ammar and Alesiani, Francesco and He, Xiao},
  year={2023},
  month=jan # "~3",
  note={US Patent 11,544,558}
}

@misc{alesiani2021constrained,
  title={Constrained vehicle routing using clusters},
  author={Alesiani, Francesco and Ermis, Gulcin},
  year={2021},
  month=mar # "~18",
  note={US Patent App. 16/570,018}
}

@misc{alesiani2023method,
  title={Method for verifying information},
  author={Alesiani, Francesco and Gajek, Sebastian},
  year={2023},
  month=oct # "~24",
  note={US Patent 11,799,655}
}

@article{alesiani2023continual,
  title={Continual Invariant Risk Minimization},
  author={Alesiani, Francesco and Yu, Shujian and Niepert, Mathias},
  journal={arXiv preprint arXiv:2310.13977},
  year={2023}
}

@inproceedings{jacobs2021reinforcement,
  title={Reinforcement Learning for Route Optimization with Robustness Guarantees.},
  author={Jacobs, Tobias and Alesiani, Francesco and Ermis, G{\"u}lcin and Zhou, ZH},
  booktitle={IJCAI},
  pages={2592--2598},
  year={2021}
}

@inproceedings{ermis2021optimization,
  title={Optimization of collection and consolidation operations in cross-border multi-modal distribution networks},
  author={Ermis, Gulcin and Alesiani, Francesco and Gkiotsalitis, Konstantinos},
  booktitle={2021 IEEE International Intelligent Transportation Systems Conference (ITSC)},
  pages={1004--1010},
  year={2021},
  organization={IEEE}
}

@misc{jacobs2021method,
  title={Method and system for generating robust solutions to optimization problems using machine learning},
  author={Jacobs, Tobias and Ermis, Guelcin and Alesiani, Francesco},
  year={2021},
  month=sep # "~23",
  note={US Patent App. 16/924,213}
}

@misc{alesiani2021methods,
  title={Methods and systems for graph approximation},
  author={Alesiani, Francesco and Yu, Shujian},
  year={2021},
  month=sep # "~30",
  note={US Patent App. 16/823,455}
}

@article{alesiani2023gated,
  title={Gated information bottleneck for generalization in sequential environments},
  author={Alesiani, Francesco and Yu, Shujian and Yu, Xi},
  journal={Knowledge and Information Systems},
  volume={65},
  number={2},
  pages={683--705},
  year={2023},
  publisher={Springer London London}
}

@inproceedings{alesiani2022bigrad,
  title={BiGrad: Differentiating through bilevel optimization programming},
  author={Alesiani, Francesco},
  booktitle={The AAAI-22 Workshop on Adversarial Machine Learning and Beyond},
  year={2022}
}

@misc{goyal2024machine,
  title={Machine learning knowledge management based on lifelong boosting in presence of less data},
  author={Goyal, Anil and Shaker, Ammar and Alesiani, Francesco},
  year={2024},
  month=may # "~28",
  note={US Patent 11,995,566}
}

@article{alesiani2022constrained,
  title={Constrained clustering for the capacitated vehicle routing problem (cc-cvrp)},
  author={Alesiani, Francesco and Ermis, Gulcin and Gkiotsalitis, Konstantinos},
  journal={Applied artificial intelligence},
  volume={36},
  number={1},
  pages={1995658},
  year={2022},
  publisher={Taylor \& Francis}
}

@inproceedings{alesiani2022constrained,
  title={Constrained clustering for the capacitated vehicle routing problem},
  author={Alesiani, Francesco and Ermis, Gulcin and Gkiotsalitis, Konstantinos},
  booktitle={101st Transportation Research Board (TRB) Annual Meeting 2022},
  year={2022}
}

@misc{yu2022scalable,
  title={Scalable, accurate and reliable measure of variable dependence and independence, and utilization of the measure to train a neural network},
  author={Yu, Shujian and Alesiani, Francesco},
  year={2022},
  month=mar # "~3",
  note={US Patent App. 17/161,728}
}

@misc{shaker2022modular,
  title={Modular-related methods for machine learning algorithms including continual learning algorithms},
  author={Shaker, Ammar and Yu, Shujian and Alesiani, Francesco},
  year={2022},
  month=mar # "~10",
  note={US Patent App. 17/123,178}
}

@inproceedings{yu2022principle,
  title={Principle of relevant information for graph sparsification},
  author={Yu, Shujian and Alesiani, Francesco and Yin, Wenzhe and Jenssen, Robert and Principe, Jose C},
  booktitle={Uncertainty in Artificial Intelligence},
  pages={2331--2341},
  year={2022},
  organization={PMLR}
}

@article{takamoto2022pdebench,
  title={Pdebench: An extensive benchmark for scientific machine learning},
  author={Takamoto, Makoto and Praditia, Timothy and Leiteritz, Raphael and MacKinlay, Daniel and Alesiani, Francesco and Pfl{\"u}ger, Dirk and Niepert, Mathias},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={1596--1611},
  year={2022}
}

@article{kotnis2022human,
  title={Human-centric research for nlp: Towards a definition and guiding questions},
  author={Kotnis, Bhushan and Gashteovski, Kiril and Gastinger, Julia and Serra, Giuseppe and Alesiani, Francesco and Sztyler, Timo and Shaker, Ammar and Gong, Na and Lawrence, Carolin and Xu, Zhao},
  journal={arXiv preprint arXiv:2207.04447},
  year={2022}
}

@article{yuprinciple,
  title={Principle of Relevant Information for Graph Sparsification (Supp. Material)},
  author={Yu, Shujian and Alesiani, Francesco and Yin, Wenzhe and Jenssen, Robert and Principe, Jose C}
}

@misc{alesiani2022method,
  title={Method and system to differentiate through bilevel optimization problems using machine learning},
  author={Alesiani, Francesco},
  year={2022},
  month=sep # "~1",
  note={US Patent App. 17/361,339}
}

@misc{alesiani2022end,
  title={End-to-end channel estimation in communication networks},
  author={Alesiani, Francesco},
  year={2022},
  month=sep # "~22",
  note={US Patent App. 17/348,830}
}

@inproceedings{alesiani2022hyperfno,
  title={HyperFNO: Improving the generalization behavior of Fourier Neural Operators},
  author={Alesiani, Francesco and Takamoto, Makoto and Niepert, Mathias},
  booktitle={NeurIPS 2022 Workshop on Machine Learning and Physical Sciences},
  year={2022}
}

@inproceedings{ammar2021bilevel,
  title={Bilevel Continual Learning},
  author={Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin},
  booktitle={2021 IEEE International Joint Conference on Neural Networks (IJCNN)},
  year={2021},
  organization={IEEE}
}

@article{takamoto2023cape,
  title={CAPE: channel-attention-based PDE parameter embeddings for SciML},
  author={Takamoto, Makoto and Alesiani, Francesco and Niepert, Mathias},
  year={2023}
}

@inproceedings{alesiani2023implicit,
  title={Implicit bilevel optimization: Differentiating through bilevel optimization programming},
  author={Alesiani, Francesco},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={37},
  number={12},
  pages={14683--14691},
  year={2023}
}

@misc{onoro2023mechanism,
  title={Mechanism for reducing information lost in set neural networks},
  author={Onoro-Rubio, Daniel and Alesiani, Francesco},
  year={2023},
  month=mar # "~16",
  note={US Patent App. 17/560,322}
}

@misc{alesiani2023systems,
  title={Systems and methods for learning human-understandable logical rules from data},
  author={Alesiani, Francesco and Zopf, Markus},
  year={2023},
  month=nov # "~21",
  note={US Patent 11,822,577}
}

@misc{alesiani2023partial,
  title={Partial planar point cloud matching using machine learning with applications in biometric systems},
  author={Alesiani, Francesco and Onoro-Rubio, Daniel},
  year={2023},
  month=apr # "~6",
  note={US Patent App. 17/666,598}
}

@misc{shaker2023affinity,
  title={Affinity graph extraction and updating systems and methods},
  author={Shaker, Ammar and Alesiani, Francesco},
  year={2023},
  month=apr # "~27",
  note={US Patent App. 17/557,231}
}

@inproceedings{takamoto2023learning,
  title={Learning neural pde solvers with parameter-guided channel attention},
  author={Takamoto, Makoto and Alesiani, Francesco and Niepert, Mathias},
  booktitle={International Conference on Machine Learning},
  pages={33448--33467},
  year={2023},
  organization={PMLR}
}

@article{nicolasmetabags,
  title={MetaBags: Bagged Meta-Decision Trees for Regression},
  author={Nicolas, Sebastien and Sch{\"u}lke, Anett and Sztyler, Timo and Gastinger, Julia and Gong, Na and Machart, Pierre and Tartarelli, Sandra and Chaput, Catherine and Pileggi, Giampaolo and Baker, Oliver and others}
}

@article{nicolasbert,
  title={BERT cannot directly be used as a sequence generation model. This is because its biggest advantage, the bidirectionality, prevents it from being directly used for sequence generation.},
  author={Nicolas, Sebastien and Sch{\"u}lke, Anett and Sztyler, Timo and Gastinger, Julia and Gong, Na and Machart, Pierre and Tartarelli, Sandra and Chaput, Catherine and Pileggi, Giampaolo and Baker, Oliver and others}
}

@incollection{burzio2007satellite,
  title={Satellite-Aided Navigation and Related Applications for Dangerous Transport},
  author={Burzio, G and Damiani, S and Sommariva, F and Orgiazzi, D and Tomatis, Andrea and Deflorio, FRANCESCO PAOLO and Carrai, F and Murro, A and Alesiani, F and Trincone, B and others},
  booktitle={Titolo volume non avvalorato},
  year={2007}
}

@inproceedings{alesiani2023differentiable,
  title={Differentiable MaxSAT Message Passing},
  author={Alesiani, Francesco and Morbiducci, Crist{\'o}bal Corval{\'a}n and Zopf, Markus},
  booktitle={ICML 2023 Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators}
}

@article{christiansen2023self,
  title={Self-tuning Hamiltonian Monte Carlo for accelerated sampling},
  author={Christiansen, Henrik and Errica, Federico and Alesiani, Francesco},
  journal={The Journal of Chemical Physics},
  volume={159},
  number={23},
  year={2023},
  publisher={AIP Publishing}
}

@article{corvalancontinuous,
  title={Continuous-Discrete Message Passing for Graph Logic Reasoning},
  author={Corval{\'a}n, Crist{\'o}bal and Alesiani, Francesco and Zopf, Markus}
}

@article{zaverkin2024uncertainty,
  title={Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials},
  author={Zaverkin, Viktor and Holzm{\"u}ller, David and Christiansen, Henrik and Errica, Federico and Alesiani, Francesco and Takamoto, Makoto and Niepert, Mathias and K{\"a}stner, Johannes},
  journal={npj Computational Materials},
  volume={10},
  number={1},
  pages={83},
  year={2024},
  publisher={Nature Publishing Group UK London}
}

@misc{alesiani2023hyper,
  title={Hyper network machine learning architecture for simulating physical systems},
  author={Alesiani, Francesco and Takamoto, Makoto},
  year={2023},
  month=nov # "~16",
  note={US Patent App. 17/969,721}
}

@article{alesianileo,
  title={LEO Satellite Orbit Prediction with Physics Informed Machine Learning},
  author={Alesiani, Francesco and Takamoto, Makoto and Kamiya, Toshio and Etou, Daisuke}
}

@article{errica2023adaptive,
  title={Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching},
  author={Errica, Federico and Christiansen, Henrik and Zaverkin, Viktor and Maruyama, Takashi and Niepert, Mathias and Alesiani, Francesco},
  journal={arXiv preprint arXiv:2312.16560},
  year={2023}
}

@misc{alesiani2023machine,
  title={Machine learning for optimized learning of human-understandable logical rules from medical or other data},
  author={Alesiani, Francesco and Zopf, Markus},
  year={2023},
  month=dec # "~28",
  note={US Patent App. 18/462,454}
}

@incollection{alesiani2001performance,
  title={Performance of Adaptive Modulation Techniques in the UMTS System Globecom 2001, San Antonio, Texas, USA, November, 2001, pp. CTS 16-5.},
  author={Alesiani, F and Biglieri, E and Taricco, Giorgio and Viterbo, Emanuele and others},
  booktitle={Titolo volume non avvalorato},
  pages={16--5},
  year={2001}
}

@inproceedings{maruyama2024hierarchy,
  title={Hierarchy-based Clifford Group Equivariant Message Passing Neural Networks},
  author={Maruyama, Takashi and Alesiani, Francesco},
  booktitle={ICLR 2024 Workshop on AI4DifferentialEquations In Science}
}

@misc{alesiani2024learning,
  title={Learning logical rules over graph structured data using message passing},
  author={Alesiani, Francesco and Zopf, Markus and Morbiducci, Cristobal Felipe Corvalan},
  year={2024},
  month=mar # "~28",
  note={US Patent App. 18/161,107}
}

@misc{goyal2024machine,
  title={Machine learning knowledge management based on lifelong boosting in presence of less data},
  author={Goyal, Anil and Shaker, Ammar and Alesiani, Francesco},
  year={2024},
  month=apr # "~11",
  note={US Patent App. 18/530,349}
}

@article{faizrahnemoonscenario,
  title={A Scenario-Oriented approach for Noise detection on Traffic Flow data},
  author={Faizrahnemoon, Mahsa and Alesiani, Francesco and Moreira-Matias, Luis}
}

@misc{goyal2024machine,
  title={Machine learning knowledge management based on lifelong boosting in presence of less data},
  author={Goyal, Anil and Shaker, Ammar and Alesiani, Francesco},
  year={2024},
  month=apr # "~18",
  note={US Patent App. 18/530,871}
}

@misc{goyal2024machine,
  title={Machine learning knowledge management based on lifelong boosting in presence of less data},
  author={Goyal, Anil and Shaker, Ammar and Alesiani, Francesco},
  year={2024},
  month=apr # "~18",
  note={US Patent App. 18/530,331}
}

@article{zaverkin2024higher,
  title={Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing},
  author={Zaverkin, Viktor and Alesiani, Francesco and Maruyama, Takashi and Errica, Federico and Christiansen, Henrik and Takamoto, Makoto and Weber, Nicolas and Niepert, Mathias},
  journal={arXiv preprint arXiv:2405.14253},
  year={2024}
}

@misc{alesiani2024information,
  title={Information system for generation of complex molecule by using graph representing molecule},
  author={Alesiani, Francesco and Zopf, Markus},
  year={2024},
  month=may # "~23",
  note={US Patent App. 18/415,836}
}

@misc{alesiani2024information,
  title={Information system for generation of new molecule by using graph representing molecule},
  author={Alesiani, Francesco and Zopf, Markus},
  year={2024},
  month=jun # "~6",
  note={US Patent App. 18/414,526}
}

@inproceedings{shaker2021bilevel,
  title={Bilevel Continual Learning},
  author={Shaker, Ammar and Alesiani, Francesco and Yu, Shujian and Yin, Wenzhe},
  booktitle={2021 International Joint Conference on Neural Networks (IJCNN)},
  pages={1--8},
  year={2021},
  organization={IEEE}
}

@article{zopf2024graph,
  title={Graph Reasoning Networks},
  author={Zopf, Markus and Alesiani, Francesco},
  journal={arXiv preprint arXiv:2407.05816},
  year={2024}
}

@article{acharyaafshin,
  title={Afshin Abdi, Qualcomm Milad Abolpour, University of Oulu Ibrahim Abou-Faycal, American University of Beirut Maria Abu-Sini, Technion},
  author={Acharya, Jayadev and Achlioptas, Dimitris and Adikari, Tharindu and Aggarwal, Shubham and Agrawal, Shubhada and Ahmadipour, Mehrasa and Ahrens, Knud and Aishwarya, Gautam and Akar, Nail and Akbari, Sina and others}
}

@misc{alesiani2024learning,
  title={Learning a sequential diffusion model for the forward and inverse problem in simulation of physical systems},
  author={Alesiani, Francesco and Takamoto, Makoto and Christiansen, Henrik},
  year={2024},
  month=sep # "~5",
  note={US Patent App. 18/350,831}
}

@misc{takamoto2024accelerating,
  title={ACCELERATING PARTICLE SIMULATIONS USING MACHINE LEARNING AND MOLECULAR DYNAMIC SIMULATIONS},
  author={Takamoto, Makoto and Christiansen, Henrik and Alesiani, Francesco},
  year={2024},
  month=sep # "~26",
  note={US Patent App. 18/324,199}
}