Publications | Lund University Publications

11 – 20 of 24

show: 10
|
sort: year (new to old)

News feed Embed this list Save this search Mark all Export

Cancel

Embed this list

copy and paste the html snippet below into your own page:

<iframe src="https://lup.lub.lu.se/search/publication?embed=1&q=author+exact+%2297840952-e696-48b0-87e5-9301ac073dd1%22&amp;hide_pagination=1&amp;hide_info=1&amp;hide_options=1"
  width="100%"
  height="400"
  allowtransparency="true"
  frameborder="0">
</iframe>

2023
Mark Bounce : Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
Papenmeier, Leonard ^LU ; Nardi, Luigi ^LU and Poloczek, Matthias (2023) 37th Conference on Neural Information Processing Systems, NeurIPS 2023 In Advances in Neural Information Processing Systems 36.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2022
Mark Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration
Mayr, Matthias ^LU ; Ahmad, Faseeh ^LU ; Chatzilygeroudis, Konstantinos ; Nardi, Luigi ^LU and Krueger, Volker ^LU (2022) 2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022 p.1995-2002
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark LassoBench : A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
Šehić, Kenan ^LU ; Gramfort, Alexandre ; Salmon, Joseph and Nardi, Luigi ^LU (2022) 1st International Conferenceon Automated Machine Learning, AutoML 2022 188.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
Nardi, Luigi ^LU ; Gramfort, Alexandre ; Salmon, Joseph and Sehic, Kenan ^LU (2022) 1st International Conference on Automated Machine Learning (AutoML)
- Contribution to conference › Paper, not in proceeding
Mark πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
Hvarfner, Carl ^LU ; Stoll, Danny ; Souza, Artur ; Lindauer, Marius ; Hutter, Frank and Nardi, Luigi ^LU (2022) Tenth International Conference of Learning Representations, ICLR 2022
- Contribution to conference › Paper, not in proceeding
Mark HPVM2FPGA: Enabling True Hardware-Agnostic FPGA Programming
Ejjeh, Adel ; Medvinsky, Leon ; Councilman, Aaron ; Nehra, Hemang ; Sharma, Suraj ; Adve, Vikram ; Nardi, Luigi ^LU ; Nurvitadhi, Eriko and Rutenbar, Rob A (2022) 33rd IEEE International Conference on Application-specific Systems, Architectures, and Processors (ASAP 2022)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Papenmeier, Leonard ^LU ; Nardi, Luigi ^LU and Poloczek, Matthias (2022) Advances in Neural Information Processing Systems 35, NeurIPS 2022
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Joint Entropy Search for Maximally-Informed Bayesian Optimization
Hvarfner, Carl ^LU ; Hutter, Frank and Nardi, Luigi ^LU (2022) 36th Conference on Neural Information Processing Systems, NeurIPS 2022
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Learning Skill-based Industrial Robot Tasks with User Priors
Mayr, Matthias ^LU ; Hvarfner, Carl ^LU ; Chatzilygeroudis, Konstantinos ; Nardi, Luigi ^LU and Krueger, Volker ^LU (2022) IEEE 18th International Conference on Automation Science and Engineering (IEEE CASE2022) p.1485-1492
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark How to Set Up & Learn New Robot Tasks with Explainable Behaviors?
Mayr, Matthias ^LU ; Ahmad, Faseeh ^LU ; Chatzilygeroudis, Konstantinos ; Nardi, Luigi ^LU and Krueger, Volker ^LU (2022) European Robotics Forum
- Contribution to conference › Poster

your query:: Remove author: Nardi, Luigi (LU)