| Probabilistic logic networks: A comprehensive framework for uncertain inference B Goertzel, M Iklé, IF Goertzel, A Heljakka Springer Science & Business Media, 2008 | 120 | 2008 |
| 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 | 55 | 2008 |
| Pioneer Networks: Progressively Growing Generative Autoencoder A Heljakka, A Solin, J Kannala Asian Conference on Computer Vision (ACCV), 2018 | 50 | 2018 |
| 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 | 36 | 2006 |
| 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 | 17 | 2020 |
| Exploring android developmental psychology in a simulation world B Goertzel, A Heljakka, SV Bugaj, C Pennachin, M Looks Proceedings of ICCS-2006, Vancouver, 2006 | 12 | 2006 |
| 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 | 11 | 2018 |
| 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 | 8 | 2007 |
| 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 | 7 | 2007 |
| 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 | 7 | 2006 |
| 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 | 5 | 2007 |
| Ihmiskehon välineellistämisen etiikka A Heljakka Futura 24 (2005): 1, 2005 | 4 | 2005 |
| Representational multiplicity should be exposed, not eliminated A Heljakka, M Trapp, J Kannala, A Solin arXiv preprint arXiv:2206.08890 3, 2022 | 3 | 2022 |
| Deep Automodulators A Heljakka, Y Hou, J Kannala, A Solin Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 3 | 2020 |
| Disentangling model multiplicity in deep learning A Heljakka, M Trapp, J Kannala, A Solin arXiv preprint arXiv:2206.08890, 2022 | 2 | 2022 |
| 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 | 2 | 2021 |
| 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 | 2 | 2007 |
| Deep Generative Neural Network Models for Capturing Complex Patterns in Visual Data A Heljakka Aalto University, 2020 | 1 | 2020 |
| 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 |
