Centre for AI Fundamentals

Kaski, Samuel (PI)
Pan, Wei (Researcher)
Alvarez, Mauricio (Researcher)
Mu, Tingting (Researcher)
Sun, Mingfei (Researcher)
Mukherjee, Anirbit (Researcher)
Sonee, Amir (Researcher)
Leroy, Arthur (Researcher)
Lee, Jaeyoung (Researcher)
Wang, Jianhong (Researcher)
Parakkal Unni, Midhun (Researcher)
Sloman, Sabina (Researcher)
Menary, Stephen (Researcher)
Quilter, Thomas (Researcher)
Hosseinzadeh, Alireza (PGR student)
Mousa, Amr (PGR student)
Das, Avirup (PGR student)
Glover, Emily (PGR student)
DURSUN, FATIH (PGR student)
Zhu, Hongbo (PGR student)
Abdi, Hossein (PGR student)
Dandago, Khalid (PGR student)
Piriyajitakonkij, Maytus (PGR student)
Rachman, Rifny (PGR student)
Shi, Xinxing (PGR student)
Keany, Thomas (PGR student)
Liu, Xue (PGR student)
Jiang, Yiyu (PGR student)
Wan, Zhang (PGR student)
Evans, Ian (Support team)
Harrison, Matthew (Support team)
Harper, Angel (Support team)

31 Article
19 Conference contribution
9 Preprint
3 Paper
More

1 - 50 out of 70 results

2024
Deep Koopman learning of nonlinear time-varying systems
Hao, W., Huang, B., Pan, W., Wu, D. & Mou, S., Jan 2024, In: Automatica. 159, 111372.
Research output: Contribution to journal › Article › peer-review
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion
Zeng, H., Wang, J., Das, A., He, J., Han, K., Hu, H. & Sun, M., 18 Jun 2024.
Research output: Preprint/Working paper › Preprint

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22 Downloads (Pure)
Enhancing healthcare decision support through explainable AI models for risk prediction
Niu, S., Yin, Q., Ma, J., Song, Y., Xu, Y., Bai, L., Pan, W. & Yang, X., Jun 2024, In: Decision Support Systems. 181, 114228.
Research output: Contribution to journal › Article › peer-review

Open Access
Explore your experimental designs and theories before you exploit them!
Dubova, M., Sloman, S., Andrew, B., Nassar, M. & Musslick, S., 5 Feb 2024, In: Behavioral and Brain Sciences. 47, 70 p., e40.
Research output: Contribution to journal › Commentary/debate › peer-review
Farpls: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation
Lyu, H., Bai, Y., Liang, X., Das, U., Shi, C., Gong, L., Li, Y., Sun, M., Ge, M. & Ma, X., 10 Mar 2024.
Research output: Preprint/Working paper › Preprint

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22 Downloads (Pure)
Fault Detection and Tolerant Control for Aero2 2DOF Two-rotor Helicopter
Dandago, K., Zhang, L. & Pan, W., 1 May 2024, (Accepted/In press) International Conference on Unmanned Aircraft Systems.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
62 Downloads (Pure)
Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets
Gopalani, P., Jha, S. & Mukherjee, A., 25 Feb 2024, In: Transactions on Machine Learning Research . 21 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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13 Downloads (Pure)
Investigating the Ability of PINNs to Solve Burgers' PDE Near Finite-Time Blow-Up
Mukherjee, A. & Kumar, D., 11 Jun 2024, In: Machine Learning: Science and Technology. 5, 2, 22 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Iterative Semantic Transformer by Greedy Distillation for Community Question Answering
Wu, J., Mu, T., Thiyagalingam, J., Hong, H., Hao, Y., Zhang, T. & Goulermas, J. Y., 19 Jun 2024, (E-pub ahead of print) In: IEEE/ACM Transactions on Audio, Speech, and Language Processing. p. 1-13
Research output: Contribution to journal › Article › peer-review

Open Access
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23 Downloads (Pure)
Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion
Bai, C., Yan, P., Piao, H., Pan, W. & Guo, J., 1 Jan 2024, In: IEEE Transactions on Cybernetics. 54, 1, p. 462-475 14 p.
Research output: Contribution to journal › Article › peer-review
Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation
He, J., Cheng, L., Fang, C., Feng, Z., Mu, T. & Song, M., 24 Mar 2024, 38th AAAI Conference on Artificial Intelligence, AAAI-2024. AAAI Press
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
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11 Downloads (Pure)
Resilience-Oriented Coordination of Networked Microgrids: a Shapley Q-Value Learning Approach
Qiu, D., Wang, Y., Wang, J., Zhang, N., Strbac, G. & Kang, C., 1 Mar 2024, In: IEEE Transactions on Power Systems. 39, 2, p. 3401-3416 16 p.
Research output: Contribution to journal › Article › peer-review
Size Lowerbounds for Deep Operator Networks
Mukherjee, A. & Roy, A., 1 Feb 2024, In: Transactions on Machine Learning Research . 25 p.
Research output: Contribution to journal › Article › peer-review

Open Access
TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions
Piriyajitakonkij, M., Sun, M., Zhang, M. & Pan, W., 4 Mar 2024.
Research output: Preprint/Working paper › Preprint

File

17 Downloads (Pure)
2023
ABC of the future
Kaski, S., Jan 2023, p. 243-268. 26 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance
Rhys jones, H., Popescu, A. C., Sulehman, Y. & Mu, T., 14 Mar 2023, In: IEEE Access. 11, p. 23909-23925
Research output: Contribution to journal › Article › peer-review

Open Access
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63 Downloads (Pure)
Adversarial vulnerability bounds for Gaussian process classification
Smith, M. T., Grosse, K., Backes, M. & Alvarez, M., 1 Mar 2023, In: Machine Learning. 112, 3, p. 971-1009 39 p.
Research output: Contribution to journal › Article › peer-review

Open Access
A fast method to generate hundreds of thousands of synthetic genomes and phenotypes
Kaski, S., Wharrie, S., Yang, Z. & Rai, V., May 2023, p. 291.
Research output: Contribution to conference › Paper › peer-review
A Secure Robot Learning Framework for Cyber Attack Scheduling and Countermeasure
Wu, C., Yao, W., Luo, W., Pan, W., Sun, G., Xie, H. & Wu, L., 5 Jun 2023, In: IEEE Transactions on Robotics. 39, 5, p. 3722-3738 17 p.
Research output: Contribution to journal › Article › peer-review
A Unified Theory of Diversity in Ensemble Learning
Wood, D., Mu, T., Webb, A., Reeve, H. W. J., Luján, M. & Brown, G., 19 Dec 2023, In: Journal of Machine Learning Research. 24, 359, p. 1-49
Research output: Contribution to journal › Article › peer-review

Open Access
Bayesian Active Learning in the Presence of Nuisance Parameters
Sloman, S. J., Bharti, A., Martinelli, J. & Kaski, S., 23 Oct 2023.
Research output: Preprint/Working paper › Preprint

File

111 Downloads (Pure)
Beyond collective intelligence: Collective adaptation
Galesic, M., Barkoczi, D., Berdahl, A., Biro, D., Carbone, G., Giannoccaro, I., Goldstone, R., Gonzalez, C., Kandler, A., Kao, A., Kendal, R., Kline, M., Lee, E., Massari, G., Mesoudi, A., Olsson, H., Pescetelli, N., Sloman, S., Smaldino, P. & Stein, D., 22 Mar 2023, In: Journal of the Royal Society Interface. 20, 200, 19 p., 20220736.
Research output: Contribution to journal › Review article › peer-review
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning
Wang, Z., Hao, Y., Mu, T., Li, O., Wang, S. & He, X., 22 Aug 2023, (E-pub ahead of print) IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) .
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Characterizing personalized effects of family information on disease risk using graph representation learning
Wharrie, S. & Kaski, S., 2023, p. 824-845. 22 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
Chemistry-Based Modeling on Phenotype-Based Drug-Induced Liver Injury Annotation : From Public to Proprietary Data
Moein, M., Heinonen, M., Mesens, N., Chamanza, R., Amuzie, C., Will, Y., Ceulemans, H., Kaski, S. & Herman, D., 21 Aug 2023, In: Chemical Research in Toxicology. 36, 8, p. 1238-1247 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
COMPARING THE EFFICACY OF FINE-TUNING AND META-LEARNING FOR FEW-SHOT POLICY IMITATION
Patacchiola, M., Sun, M., Hofmann, K. & Turner, R. E., 21 Nov 2023, In: Proceedings of Machine Learning Research. 232, p. 878-908 31 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access
Compositional Sculpting of Iterative Generative Processes
Garipov, T., De Peuter, S., Yang, G., Gary, V., Kaski, S. & Jaakkola, T., 10 Dec 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). New Orleans, United States
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Cooperative Bayesian Optimization for Imperfect Agents
Khoshvishkaie, A., Mikkola, P., Kaski, S. & Murena, P. A., 17 Sept 2023, Machine Learning and Knowledge Discovery in Databases : Research Track - European Conference, ECML PKDD 2023, Proceedings. Koutra, D., Plant, C., Rodrigues, M. G., Baralis, E. & Bronchi, F. (eds.). Springer Nature, Vol. 14169 LNAI. p. 475-490 16 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Cooperative Open-ended Learning Framework for Zero-shot Coordination
Li, Y., Zhang, S., Sun, J., Du, Y., Wen, Y., Wang, X. & Pan, W., 2023, In: Proceedings of Machine Learning Research. 202, p. 19837-19854 18 p.
Research output: Contribution to journal › Conference article › peer-review
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning
McDonald, T. M. & Álvarez , M., 24 Nov 2023.
Research output: Preprint/Working paper › Preprint
Deep reinforcement learning control approach to mitigating actuator attacks
Wu, C., Pan, W., Staa, R., Liu, J., Sun, G. & Wu, L., 1 Jun 2023, In: Automatica. 152, 110999.
Research output: Contribution to journal › Article › peer-review
Depth-2 neural networks under a data-poisoning attack
Karmakar, S., Mukherjee, A. & Papamarkou, T., 21 Feb 2023, (E-pub ahead of print) In: Neurocomputing.
Research output: Contribution to journal › Article › peer-review

Open Access
Differentiable user models
Hämäläinen, A., Celikok, M. M. & Kaski, S., 4 Aug 2023, Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023). Journal of Machine Learning Research, Vol. 216. p. 798-808 11 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
DPVIm: Differentially Private Variational Inference Improved
Jälkö, J., Prediger, L., Honkela, A. & Kaski, S., 20 Sept 2023, In: Transactions on Machine Learning Research. 2023
Research output: Contribution to journal › Article › peer-review

Open Access
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization
Deng, Y. & Mu, T., 17 Feb 2023, (Accepted/In press) In: Machine Learning.
Research output: Contribution to journal › Article › peer-review
2 Downloads (Pure)
HAPNEST : efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes
Wharrie, S., Yang, Z., Raj, V., Monti, R., Gupta, R., Wang, Y. Y., Martin, A. R., O'Connor, L. J., Kaski, S., Marttinen, P., Palamara, P. F., Lippert, C. & Ganna, A., 1 Sept 2023, In: Bioinformatics. 39, 9, 10 p., btad535.
Research output: Contribution to journal › Article › peer-review

Open Access
Imitating Human Behaviour with Diffusion Models
Pearce, T., Rashid, T., Kanervisto, A., Bignell, D., Sun, M., Georgescu, R., Macua, S. V., Tan, S. Z., Momennejad, I., Hofmann, K. & Devlin, S., 1 Feb 2023, (E-pub ahead of print) The Eleventh International Conference on Learning Representations (ICLR 2023).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Intensivist Physicians' Knowledge and Attitudes About Bayesian Adaptive Clinical Trials
Malley, B., Levin, J., Althouse, A., Sloman, S., Kahn, J. & Huang, D., Jan 2023, In: Critical Care Medicine. 51, 1, p. 29-29 1 p.
Research output: Contribution to journal › Meeting Abstract › peer-review
Investigating the Ability of PINNs To Solve Burgers’ PDE Near Finite-Time BlowUp
Kumar, D. & Mukherjee, A., 15 Dec 2023. 21 p.
Research output: Contribution to conference › Poster › peer-review

Open Access
Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization
Sloman, S. J., Cavagnaro, D. & Broomell, S. B., 22 Mar 2023.
Research output: Preprint/Working paper › Preprint

File

16 Downloads (Pure)
Large scale multi-output multi-class classification using Gaussian processes
Ma, C. & Alvarez, M., 1 Apr 2023, In: Machine Learning. 112, 4, p. 1077-1106 30 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Learning relevant contextual variables within Bayesian Optimization
Martinelli, J., Bharti, A., Tiihonen, A., John, S. T., Filstroff, L., Sloman, S. J., Rinke, P. & Kaski, S., 23 May 2023.
Research output: Preprint/Working paper › Preprint

File

24 Downloads (Pure)
Likelihood-Free Inference in State-Space Models with Unknown Dynamics
Aushev, A., Tran, T., Pesonen, H., Howes, A. & Kaski, S., 20 Feb 2023, pre-print. 23 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class
Zhu, H., Cangelosi, A., Sen, P. & Mukherjee, A., 7 Oct 2023, (E-pub ahead of print).
Research output: Preprint/Working paper › Preprint

File

26 Downloads (Pure)
Maintaining Visibility of Dynamic Objects in Cluttered Environments Using Mobile Manipulators and Vector Field Inequalities
DURSUN, F., Adorno, B. V., Watson, S. & Pan, W., 13 Dec 2023, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023. IEEE, p. 6371-6378 8 p. (IEEE International Conference on Intelligent Robots and Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
File
29 Downloads (Pure)
Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement
Wu, J., Mu, T., Thiyagalingam, J. & Goulermas, J. Y., 24 Jan 2023, (E-pub ahead of print) In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. p. 1-14
Research output: Contribution to journal › Article › peer-review

Open Access
File
86 Downloads (Pure)
Modeling Adaptive Expression of Robot Learning Engagement and Exploring Its Effects on Human Teachers
Ma, S., Sun, M. & MA, X., 1 Oct 2023, In: ACM Transactions on Computer-Human Interaction. 30, 5, 48 p., 70.
Research output: Contribution to journal › Article › peer-review
Modeling needs user modeling
Celikok, M. M., Murena, P.-A. & Kaski, S., 6 Apr 2023, In: Frontiers in Artificial Intelligence. 6, p. 1-6 6 p., 1097891.
Research output: Contribution to journal › Article › peer-review

Open Access
Modelling and analysis of Parkinsonian gait
Parakkal Unni, M. & Menon, P. P., 1 Jan 2023, In: Nonlinear Dynamics. 111, 1, p. 753-769 17 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
Mikkola, P., Martinelli, J., Filstroff, L. & Kaski, S., 25 Apr 2023, Proceedings of the 26th International Conference on Artificial Intelligence and Statistics. Journal of Machine Learning Research, p. 7425-7454 30 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Centre for AI Fundamentals

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