Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Tekn. toht., tietotekniikka
Award Date: 31 Dec 2024
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Dive into the research topics where Paul Chang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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FUNCTION-SPACE PARAMETERIZATION OF NEURAL NETWORKS FOR SEQUENTIAL LEARNING
Scannell, A., Mereu, R., Chang, P., Tamir, E., Pajarinen, J. & Solin, A., 2024, 12th International Conference on Learning Representations (ICLR 2024). Curran Associates Inc., 29 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access1 Citation (Scopus) -
Rethinking Inference in Gaussian Processes: A Dual Parameterization Approach
Chang, P. E., 2024, Aalto University. 105 p.Research output: Thesis › Doctoral Thesis › Collection of Articles
Open Access -
Memory-Based Dual Gaussian Processes for Sequential Learning
Chang, P. E., Verma, P., John, S. T., Solin, A. & Emtiyaz Khan, M., Jul 2023, Proceedings of the 40th International Conference on Machine Learning. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). JMLR, p. 4035-4054 20 p. (Proceedings of Machine Learning Research; vol. 202).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile23 Downloads (Pure) -
Sparse Function-space Representation of Neural Networks
Scannell, A., Mereu, R., Chang, P., Tamir, E., Pajarinen, J. & Solin, A., 2023. 6 p.Research output: Contribution to conference › Poster › Scientific › peer-review
Open Access -
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning
Chang, P., Verma, P., John, T., Picheny, V., Moss, H. & Solin, A., 2022.Research output: Contribution to conference › Paper › Scientific › peer-review
Open Access
Projects
- 1 Finished
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-: Shallow models meet deep vision
Solin, A. (Principal investigator), Wang, H. (Project Member), Tamir, E. (Project Member), Trapp, M. (Project Member), Verma, P. (Project Member), Chang, P. (Project Member), Li, R. (Project Member) & Mereu, R. (Project Member)
01/09/2019 → 31/08/2023
Project: Academy of Finland: Other research funding