Stebėti
Kshitij Goyal
Kshitij Goyal
ASML
Patvirtintas el. paštas asml.com
Pavadinimas
Cituota
Cituota
Metai
SaDe: Learning Models that Provably Satisfy Domain Constraints
K Goyal, S Dumancic, H Blockeel
ECMLPKDD 2022, 2022
52022
Feature Interactions in XGBoost
K Goyal, S Dumancic, H Blockeel
AIMLAI-ECML-2019, 2020
42020
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming
K Goyal, W Meert, H Blockeel, E Van Wolputte, K Vanderstraeten, ...
BNAIC 2022, 2022
12022
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction
K Goyal, S Dumancic, H Blockeel
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12199 …, 2024
2024
Machine Learning with Constraints: Towards Trustworthy AI
K Goyal, H Blockeel, S Dumancic
2023
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