Publications

(2024). Bayesian neural networks and dimensionality reduction. In Chapman & Hall/CRC Press.

Cite Source Document

(2023). Combinatorial complexes: bridging the gap between cell complexes and hypergraphs. In 57th Asilomar Conference on Signals, Systems, and Computers.

Cite Source Document

(2023). Towards efficient MCMC sampling in Bayesian neural networks by exploiting symmetry. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), Research Track.

Cite Source Document

(2023). Approximate blocked Gibbs sampling for Bayesian neural networks. In Statistics and Computing.

Cite Source Document

(2023). Mapping the state of the art: artificial intelligence for decision making in financial crime. In Taylor & Francis/CRC Press.

Cite Source Document

(2023). Towards faster gene expression prediction via dimensionality reduction and feature selection. In 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Cite Source Document

(2023). Depth-2 neural networks under a data-poisoning attack. In Neurocomputing.

Cite Source Document

(2022). A random persistence diagram generator. In Statistics and Computing.

Cite Source Document

(2022). Challenges in Markov chain Monte Carlo for Bayesian neural networks. In Statistical Science.

Cite Source Document

(2022). Adapting random forests to predict obesity-associated gene expression. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Cite Source Document

(2022). Inferring the spread of COVID-19: the role of time-varying reporting rate in epidemiological modelling. In Scientific Reports.

PDF Cite Source Document

(2021). Hidden Markov models as recurrent neural networks: an application to Alzheimer's disease. In IEEE 21th International Conference on Bioinformatics and Bioengineering (BIBE).

Cite Source Document

(2021). Distributions.jl: definition and modeling of probability distributions in the JuliaStats ecosystem. In Journal of Statistical Software.

PDF Cite Source Document

(2021). Geometric adaptive Monte Carlo in random environment. In Foundations of Data Science.

Cite Source Document

(2021). Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks. In Nuclear Engineering and Technology.

Cite Source Document

(2020). Wide neural networks with bottlenecks are deep Gaussian processes. In Journal of Machine Learning Research.

PDF Cite Code Source Document

(2019). The efficiency of geometric samplers for exoplanet transit timing variation models. In Monthly Notices of the Royal Astronomical Society.

Cite Source Document

(2018). Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations. In Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF Cite Source Document

(2017). Gender differences in equity crowdfunding. In Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing (HCOMP).

Cite Source Document

(2017). Lapatinib potentiates cytotoxicity of YM155 in neuroblastoma via inhibition of the ABCB1 efflux transporter. In Scientific Reports.

Cite Source Document

(2017). Synchronized laser chaos communication: statistical investigation of an experimental system. In IEEE Journal of Quantum Electronics.

Cite Source Document

(2017). Combinatorial drug screening identifies Ewing sarcoma-specific sensitivities. In Molecular Cancer Therapeutics.

Cite Source Document

(2016). The controlled thermodynamic integral for Bayesian model evidence evaluation. In Journal of the American Statistical Association.

Cite Source Document

(2016). RNA editing generates cellular subsets with diverse sequence within populations. In Nature Communications.

Cite Source Document

(2016). The second European interdisciplinary Ewing sarcoma research summit – A joint effort to deconstructing the multiple layers of a complex disease. In Oncotarget.

Cite Source Document

(2015). EWS-FLI1 employs an E2F switch to drive target gene expression. In Nucleic Acids Research.

Cite Source Document

(2015). Monte Carlo methods and zero variance principle. In Chapman & Hall/CRC Press.

Cite Source Document

(2014). Nonlinear dynamics of trajectories generated by fully-stretching piecewise linear maps. In International Journal of Bifurcation and Chaos.

Cite Source Document

(2014). Zero variance differential geometric Markov chain Monte Carlo algorithms. In Bayesian Analysis.

PDF Cite Source Document

(2014). The silicon trypanosome: a test case of iterative model extension in systems biology. In Academic Press.

Cite Source Document

(2013). Discovery and refinement of loci associated with lipid levels. In Nature Genetics.

Cite Source Document

(2013). Paired Bernoulli circular spreading: attaining the BER lower bound in a CSK setting. In Circuits, Systems, and Signal Processing.

PDF Cite Source Document

(2012). Genetic determinants of lipid homeostasis. In Best Practice and Research Clinical Endocrinology and Metabolism.

Cite Source Document

(2011). Meta analysis of candidate gene variants outside the LPA locus with Lp(a) plasma levels in 14,500 participants of six White European cohorts. In Atherosclerosis.

Cite Source Document

(2007). Optimal spreading sequences for chaos-based communication systems. In International Symposium on Nonlinear Theory and its Applications (NOLTA).

Cite Source Document

(2006). Higher order dependency of chaotic maps. In International Symposium on Nonlinear Theory and its Applications (NOLTA).

PDF Cite