Publications

2021

1. CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator

   Alek Dimitriev and Mingyuan Zhou

   NeurIPS: Neural Information Processing Systems, Dec 2021

   Bib PDF Code

   @inproceedings{dimitriev2021carms,
     title = {CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator},
     author = {Dimitriev, Alek and Zhou, Mingyuan},
     booktitle = {NeurIPS: Neural Information Processing Systems},
     volume = {34},
     month = dec,
     year = {2021},
     pdf = {https://arxiv.org/pdf/2110.14002.pdf},
     code = {https://github.com/alekdimi/carms},
     selected = {true},
     bibtex_show = {true}
   }

2. ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables

   Alek Dimitriev and Mingyuan Zhou

   ICML: International Conference on Machine Learning, Jul 2021

   Bib PDF Code

   @inproceedings{dimitriev2021arms,
     title = {ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables},
     author = {Dimitriev, Alek and Zhou, Mingyuan},
     booktitle = {ICML: International Conference on Machine Learning},
     pages = {2717--2727},
     year = {2021},
     editor = {Meila, Marina and Zhang, Tong},
     volume = {139},
     series = {Proceedings of Machine Learning Research},
     month = jul,
     publisher = {PMLR},
     pdf = {https://arxiv.org/pdf/2105.14141.pdf},
     url = {https://proceedings.mlr.press/v139/dimitriev21a.html},
     code = {https://github.com/alekdimi/arms},
     selected = {true},
     bibtex_show = {true}
   }

2017

1. Predicting Human Olfactory Perception from Chemical Features of Odor Molecules

   Andreas et al. Keller

   Science Jul 2017

   Bib PDF

   @article{keller2017predicting,
     title = {Predicting Human Olfactory Perception from Chemical Features of Odor Molecules},
     author = {Keller, Andreas et al.},
     journal = {Science},
     volume = {355},
     number = {6327},
     pages = {820--826},
     year = {2017},
     publisher = {American Association for the Advancement of Science},
     pdf = {https://www.science.org/doi/full/10.1126/science.aal2014},
     bibtex_show = {true}
   }

2016

1. Approximate Bayesian Binary and Ordinal Regression with Structured Uncertainty in the Inputs

   Alek Dimitriev and Erik Štrumbelj

   NeurIPS Workshop: Advances in Approximate Bayesian Inference, Jul 2016

   Bib PDF

   @inproceedings{dimitriev2016approximate,
     title = {Approximate Bayesian Binary and Ordinal Regression with Structured Uncertainty in the Inputs},
     author = {Dimitriev, Alek and {\v{S}}trumbelj, Erik},
     booktitle = {NeurIPS Workshop: Advances in Approximate Bayesian Inference},
     pdf = {http://approximateinference.org/2016/accepted/DimitrievStrumbelj2016.pdf},
     year = {2016},
     bibtex_show = {true}
   }

2. A Regularization Based Approach for Unsupervised Image Segmentation

   Alek Dimitriev and Matej Kristan

   Elektrotehniški vestnik Jul 2016

   Bib PDF

   @article{dimitriev2016regularization,
     title = {A Regularization Based Approach for Unsupervised Image Segmentation},
     author = {Dimitriev, Alek and Kristan, Matej},
     journal = {Elektrotehni{\v{s}}ki vestnik},
     volume = {83},
     number = {3},
     pages = {138--143},
     year = {2016},
     pdf = {https://arxiv.org/pdf/1603.02649.pdf},
     bibtex_show = {true}
   }

2015

1. Learning From Microarray Gene Expression Data

   Alek Dimitriev and Zoran Bosnič

   IS: Information Society Multiconference, Jul 2015

   Bib PDF

   @inproceedings{dimitriev2015learning,
     title = {Learning From Microarray Gene Expression Data},
     author = {Dimitriev, Alek and Bosni{\v{c}}, Zoran},
     booktitle = {IS: Information Society Multiconference},
     year = {2015},
     pages = {17--20},
     editor = {Gams, Matja{\v{z}} and Piltaver, Rok},
     volume = {A},
     pdf = {http://library.ijs.si/Stacks/Proceedings/InformationSociety/2015/IS2015_Volume_A%20-%20Inteligentni%20sistemi.pdf#page=27},
     bibtex_show = {true}
   }

2014

1. The Visual Object Tracking VOT2014 Challenge Results

   Matej et. al Kristan

   ECCV: European Conference on Computer Vision Workshop, Jul 2014

   Bib PDF

   @inproceedings{kristan2014visual,
     title = {The Visual Object Tracking VOT2014 Challenge Results},
     author = {Kristan, Matej et. al},
     booktitle = {ECCV: European Conference on Computer Vision Workshop},
     pages = {191--217},
     year = {2014},
     publisher = {Springer International Publishing},
     pdf = {https://www.votchallenge.net/vot2014/download/visual-object-tracking.pdf},
     bibtex_show = {true}
   }

2. Napredne Metode Računalniškega Vida za Avtonomno Navigacijo Robotskega Plovila

   Alek Dimitriev Franci Oven Tina Strgar Aleš Cerne Jošt Novak Duško Vranac Matej Kristan and Janez Perš

   ERK: Electrotechnical and Computer Science Conference, Jul 2014

   Bib PDF

   @inproceedings{dimitriev2014advanced,
     title = {Napredne Metode Ra{\v{c}}unalni{\v{s}}kega Vida za Avtonomno Navigacijo Robotskega Plovila},
     author = {Dimitriev, Alek and Oven, Franci and Strgar, Tina and Cerne, Ale{\v{s}} and Novak, Jo{\v{s}}t and Vranac, Du{\v{s}}ko and Kristan, Matej and Per{\v{s}}, Janez},
     booktitle = {ERK: Electrotechnical and Computer Science Conference},
     year = {2014},
     pdf = {https://erk.fe.uni-lj.si/2014/pers(napredne_metode)p.pdf},
     bibtex_show = {true}
   }