I am a postdoc working at the Institute for Neural Computation (INI), Bochum. I received a PhD degree from Università della Svizzera Italiana (USI) for my work on Slowness Learning for Curiosity-Driven Agents. I had carried out my PhD research under the supervision of Prof. Juergen Schmidhuber at the Swiss AI Lab IDSIA. Prior to that, I had received my Masters of Science (MS) in informatics with specialization in graphics, vision and robotics from Institut Nationale Polytechnique de Grenoble(INPG). I carried out my Master's Thesis at the PERCEPTION group, INRIA - Rhone-Alpes under the supervision of Prof. Peter Sturm. I also worked as a research intern at the Honda Research Institute (HRI), Germany and at the Indian Institute of Science, Bangalore. Thank you for visiting my site.
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Utilizing Slow Feature Analysis for LipreadingFreiwald, J., Karbasi, M., Zeiler, S., Melchior, J., Kompella, V., Wiskott, L., & Kolossa, D.In Speech Communication; 13th ITG-Symposium (pp. 191–195) VDE Verlag GmbH
@inproceedings{FreiwaldKarbasiZeilerEtAl2018, author = {Freiwald, J. and Karbasi, M. and Zeiler, S. and Melchior, J. and Kompella, V. and Wiskott, L. and Kolossa, D.}, title = {Utilizing Slow Feature Analysis for Lipreading}, booktitle = {Speech Communication; 13th ITG-Symposium}, pages = {191–195}, publisher = {VDE Verlag GmbH}, month = {October}, year = {2018}, }Freiwald, J., Karbasi, M., Zeiler, S., Melchior, J., Kompella, V., Wiskott, L., & Kolossa, D. (2018). Utilizing Slow Feature Analysis for Lipreading. In Speech Communication; 13th ITG-Symposium (pp. 191–195). VDE Verlag GmbH. Retrieved from https://ieeexplore.ieee.org/document/85780212017
Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary EnvironmentsKompella, V. R., & Wiskott, L.arXiv preprint arXiv:1701.04663@article{KompellaWiskott2017, author = {Kompella, Varun Raj and Wiskott, Laurenz}, title = {Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments}, journal = {arXiv preprint arXiv:1701.04663}, year = {2017}, }Kompella, V. R., & Wiskott, L.. (2017). Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments. arXiv preprint arXiv:1701.04663.2015
Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robotsKompella, V. R., Stollenga, M., Luciw, M., & Schmidhuber, J.Artificial Intelligence@article{KompellaStollengaLuciwEtAl2015, author = {Kompella, Varun Raj and Stollenga, Marijn and Luciw, Matthew and Schmidhuber, Juergen}, title = {Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots}, journal = {Artificial Intelligence}, year = {2015}, }Kompella, V. R., Stollenga, M., Luciw, M., & Schmidhuber, J. (2015). Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots. Artificial Intelligence.2014
Slow Feature Analysis for Curiosity-Driven Agents, 2014 IEEE WCCI Tutorial@misc{Kompella2014, author = {Kompella, Varun R}, title = {Slow Feature Analysis for Curiosity-Driven Agents, 2014 IEEE WCCI Tutorial}, year = {2014}, }Kompella, V. R. (2014). Slow Feature Analysis for Curiosity-Driven Agents, 2014 IEEE WCCI Tutorial.Slowness Learning for Curiosity-Driven AgentsKompella, V. R.Doctoral thesis, Università della svizzera italiana (USI)@phdthesis{Kompella2014b, author = {Kompella, Varun Raj}, title = {Slowness Learning for Curiosity-Driven Agents}, school = {Università della svizzera italiana (USI)}, year = {2014}, }Kompella, V. R. (2014). Slowness Learning for Curiosity-Driven Agents. Doctoral thesis, Università della svizzera italiana (USI).An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement LearningKompella, V. R., Kazerounian, S., & Schmidhuber, J.In From Animals to Animats 13 (pp. 176–187) Springer International Publishing@incollection{KompellaKazerounianSchmidhuber2014, author = {Kompella, Varun Raj and Kazerounian, Sohrob and Schmidhuber, Jürgen}, title = {An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning}, booktitle = {From Animals to Animats 13}, pages = {176–187}, publisher = {Springer International Publishing}, year = {2014}, }Kompella, V. R., Kazerounian, S., & Schmidhuber, J. (2014). An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning. In From Animals to Animats 13 (pp. 176–187). Springer International Publishing.Explore to See, Learn to Perceive, Get the Actions for Free: SKILLABILITYKompella, V. R., Stollenga, M. F., Luciw, M. D., & Schmidhuber, J.In Proceedings of IEEE Joint Conference of Neural Networks (IJCNN)@inproceedings{KompellaStollengaLuciwEtAl2014, author = {Kompella, Varun R and Stollenga, Marijn F and Luciw, Matthew D and Schmidhuber, Juergen}, title = {Explore to See, Learn to Perceive, Get the Actions for Free: SKILLABILITY}, booktitle = {Proceedings of IEEE Joint Conference of Neural Networks (IJCNN)}, year = {2014}, }Kompella, V. R., Stollenga, M. F., Luciw, M. D., & Schmidhuber, J. (2014). Explore to See, Learn to Perceive, Get the Actions for Free: SKILLABILITY. In Proceedings of IEEE Joint Conference of Neural Networks (IJCNN).2013
An intrinsic value system for developing multiple invariant representations with incremental slowness learningLuciw*, M., Kompella*, V., Kazerounian, S., & Schmidhuber, J.Frontiers in neurorobotics, 7, *Joint first authors@article{Luciw*Kompella*KazerounianEtAl2013, author = {Luciw*, Matthew and Kompella*, Varun and Kazerounian, Sohrob and Schmidhuber, Juergen}, title = {An intrinsic value system for developing multiple invariant representations with incremental slowness learning}, journal = {Frontiers in neurorobotics}, volume = {7, *Joint first authors}, year = {2013}, }Luciw*, M., Kompella*, V., Kazerounian, S., & Schmidhuber, J. (2013). An intrinsic value system for developing multiple invariant representations with incremental slowness learning. Frontiers in neurorobotics, 7, *Joint first authors.2012
Incremental slow feature analysis: Adaptive low-complexity slow feature updating from high-dimensional input streamsKompella, V. R., Luciw, M., & Schmidhuber, J.Neural Computation, 24(11), 2994–3024@article{KompellaLuciwSchmidhuber2012, author = {Kompella, Varun Raj and Luciw, Matthew and Schmidhuber, Jürgen}, title = {Incremental slow feature analysis: Adaptive low-complexity slow feature updating from high-dimensional input streams}, journal = {Neural Computation}, volume = {24}, number = {11}, pages = {2994–3024}, year = {2012}, }Kompella, V. R., Luciw, M., & Schmidhuber, J. (2012). Incremental slow feature analysis: Adaptive low-complexity slow feature updating from high-dimensional input streams. Neural Computation, 24(11), 2994–3024.Autonomous learning of abstractions using curiosity-driven modular incremental slow feature analysisKompella, V. R., Luciw, M., Stollenga, M., Pape, L., & Schmidhuber, J.In Development and Learning and Epigenetic Robotics (ICDL), 2012 IEEE International Conference on (pp. 1–8) IEEE@inproceedings{KompellaLuciwStollengaEtAl2012, author = {Kompella, Varun Raj and Luciw, Matthew and Stollenga, Marijn and Pape, Leo and Schmidhuber, Jürgen}, title = {Autonomous learning of abstractions using curiosity-driven modular incremental slow feature analysis}, booktitle = {Development and Learning and Epigenetic Robotics (ICDL), 2012 IEEE International Conference on}, pages = {1–8}, organization = {IEEE}, year = {2012}, }Kompella, V. R., Luciw, M., Stollenga, M., Pape, L., & Schmidhuber, J. (2012). Autonomous learning of abstractions using curiosity-driven modular incremental slow feature analysis. In Development and Learning and Epigenetic Robotics (ICDL), 2012 IEEE International Conference on (pp. 1–8). IEEE.Collective-reward based approach for detection of semi-transparent objects in single imagesKompella, V. R., & Sturm, P.Computer Vision and Image Understanding, 116(4), 484–499@article{KompellaSturm2012, author = {Kompella, Varun Raj and Sturm, Peter}, title = {Collective-reward based approach for detection of semi-transparent objects in single images}, journal = {Computer Vision and Image Understanding}, volume = {116}, number = {4}, pages = {484–499}, year = {2012}, }Kompella, V. R., & Sturm, P. (2012). Collective-reward based approach for detection of semi-transparent objects in single images. Computer Vision and Image Understanding, 116(4), 484–499.Hierarchical incremental slow feature analysisLuciw, M., Kompella, V. R., & Schmidhuber, J.Workshop on Deep Hierarchies in Vision@article{LuciwKompellaSchmidhuber2012, author = {Luciw, Matthew and Kompella, Varun Raj and Schmidhuber, Juergen}, title = {Hierarchical incremental slow feature analysis}, journal = {Workshop on Deep Hierarchies in Vision}, year = {2012}, }Luciw, M., Kompella, V. R., & Schmidhuber, J. (2012). Hierarchical incremental slow feature analysis. Workshop on Deep Hierarchies in Vision.2011
Incremental Slow Feature Analysis.Kompella, V. R., Luciw, M. D., & Schmidhuber, J.IJCAI, 11, 1354–1359@article{KompellaLuciwSchmidhuber2011, author = {Kompella, Varun Raj and Luciw, Matthew D and Schmidhuber, Jürgen}, title = {Incremental Slow Feature Analysis.}, journal = {IJCAI}, volume = {11}, pages = {1354–1359}, year = {2011}, }Kompella, V. R., Luciw, M. D., & Schmidhuber, J. (2011). Incremental Slow Feature Analysis. IJCAI, 11, 1354–1359.Autoincsfa and vision-based developmental learning for humanoid robotsKompella, V. R., Pape, L., Masci, J., Frank, M., & Schmidhuber, J.In Humanoid Robots (Humanoids), 2011 11th IEEE-RAS International Conference on (pp. 622–629) IEEE@inproceedings{KompellaPapeMasciEtAl2011, author = {Kompella, Varun Raj and Pape, Leo and Masci, Jonathan and Frank, Mikhail and Schmidhuber, Jürgen}, title = {Autoincsfa and vision-based developmental learning for humanoid robots}, booktitle = {Humanoid Robots (Humanoids), 2011 11th IEEE-RAS International Conference on}, pages = {622–629}, organization = {IEEE}, year = {2011}, }Kompella, V. R., Pape, L., Masci, J., Frank, M., & Schmidhuber, J. (2011). Autoincsfa and vision-based developmental learning for humanoid robots. In Humanoid Robots (Humanoids), 2011 11th IEEE-RAS International Conference on (pp. 622–629). IEEE.Detection and avoidance of semi-transparent obstacles using a collective-reward based approachKompella, V. R., & Sturm, P.In Robotics and Automation (ICRA), 2011 IEEE International Conference on (pp. 3469–3474) IEEE@inproceedings{KompellaSturm2011, author = {Kompella, Varun Raj and Sturm, Peter}, title = {Detection and avoidance of semi-transparent obstacles using a collective-reward based approach}, booktitle = {Robotics and Automation (ICRA), 2011 IEEE International Conference on}, pages = {3469–3474}, organization = {IEEE}, year = {2011}, }Kompella, V. R., & Sturm, P. (2011). Detection and avoidance of semi-transparent obstacles using a collective-reward based approach. In Robotics and Automation (ICRA), 2011 IEEE International Conference on (pp. 3469–3474). IEEE.The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
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