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Ari Heljakka
Ari Heljakka
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Title
Cited by
Cited by
Year
Probabilistic logic networks: A comprehensive framework for uncertain inference
B Goertzel, M Iklé, IF Goertzel, A Heljakka
Springer Science & Business Media, 2008
1152008
An integrative methodology for teaching embodied non-linguistic agents, applied to virtual animals in second life
B Goertzel, C Pennachin, N Geissweiller, M Looks, A Senna, W Silva, ...
Frontiers in Artificial Intelligence and Applications 171, 161, 2008
542008
Pioneer Networks: Progressively Growing Generative Autoencoder
A Heljakka, A Solin, J Kannala
Asian Conference on Computer Vision (ACCV), 2018
472018
Using dependency parsing and probabilistic inference to extract relationships between genes, proteins and malignancies implicit among multiple biomedical research abstracts
B Goertzel, H Pinto, A Heljakka, M Ross, C Pennachin, I Goertzel
Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and …, 2006
352006
Towards photographic image manipulation with balanced growing of generative autoencoders
A Heljakka, A Solin, J Kannala
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
172020
Exploring android developmental psychology in a simulation world
B Goertzel, A Heljakka, SV Bugaj, C Pennachin, M Looks
Proceedings of ICCS-2006, Vancouver, 2006
122006
Recursive Chaining of Reversible Image-to-image Translators For Face Aging
A Heljakka, A Solin, J Kannala
Proceedings of Advanced Concepts for Intelligent Vision Systems, 309-320, 2018
92018
Probabilistic logic based reinforcement learning of simple embodied behaviors in a 3D simulation world
A Heljakka, B Goertzel, W Silva, C Pennachin, A Senna, I Goertzel
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS 157, 253, 2007
72007
Toward a pragmatic understanding of the cognitive underpinnings of symbol grounding
B Goertzel, M Looks, A Heljakka, C Pennachin
Semiotics and Intelligent Systems Development, 108-120, 2007
72007
Using dependency parsing and probabilistic inference to extract gene/protein interactions implicit in the combination of multiple biomedical research abstracts
B Goertzel, H Pinto, A Heljakka, M Ross, I Goertzel, C Pennachin
Proceedings of BioNLP-2006 Workshop at ACL-2006, New York, 2006
62006
Reinforcement Learning of Simple Behaviors in a Simulation World Using Probabilistic Logic
A Heljakka, B Goertzel, W Silva, I Goertzel, C Pennachin
Advances in Artificial General Intelligence, 2007
52007
Ihmiskehon välineellistämisen etiikka
A Heljakka
Futura 24 (2005): 1, 2005
42005
Representational multiplicity should be exposed, not eliminated
A Heljakka, M Trapp, J Kannala, A Solin
arXiv preprint arXiv:2206.08890 3, 2022
32022
Deep Automodulators
A Heljakka, Y Hou, J Kannala, A Solin
Advances in Neural Information Processing Systems (NeurIPS) 33, 2020
32020
Disentangling model multiplicity in deep learning
A Heljakka, M Trapp, J Kannala, A Solin
arXiv preprint arXiv:2206.08890, 2022
22022
CassProbabilistic Logic Based Reinforcement Learning of Simple Embodied Behaviors in a 3D Simulation World, Welter Silva, Cassio Pennachin, Andre Senna, Izabela Goertzel, Teemu …
B Goertzel, A Heljakka
Proceedings of International Symposium on Intelligence Computation and …, 2007
22007
Gaussian Process Priors for View-Aware Inference
Y Hou, A Heljakka, A Solin
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7762-7770, 2021
12021
Deep Generative Neural Network Models for Capturing Complex Patterns in Visual Data
A Heljakka
Aalto University, 2020
12020
Conditional image sampling by deep automodulators
A Heljakka, Y Hou, J Kannala, A Solin, PK Juho
Bayesian Deep Learning Workshop, 2019
2019
Knowledge Representation
B Goertzel, M Iklé, IF Goertzel, A Heljakka, B Goertzel, M Iklé, IF Goertzel, ...
Probabilistic Logic Networks: A Comprehensive Framework for Uncertain …, 2009
2009
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