Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning. - Theodoros Damoulas; Ignasi Cos-Aguilera; Gillian M. Hayes; Tim Taylor 001 (ECAL, 2005)

Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins. - Theodoros Damoulas; Yiming Ying; Mark A. Girolami; Colin Campbell (ICMLA, 2008)

Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection. - Theodoros Damoulas; Mark A. Girolami (Bioinform., 2008)

Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm. - Yiming Ying; Colin Campbell; Theodoros Damoulas; Mark A. Girolami (PRIB, 2009)

Combining feature spaces for classification. - Theodoros Damoulas; Mark A. Girolami (Pattern Recognit., 2009)

Pattern recognition with a Bayesian kernel combination machine. - Theodoros Damoulas; Mark A. Girolami (Pattern Recognit. Lett., 2009)

Probabilistic multiple kernel learning. - Theodoros Damoulas (2009)

Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel. - Theodoros Damoulas; Samuel Henry 001; Andrew Farnsworth; Michael Lanzone; Carla P. Gomes (ICMLA, 2010)

Multiclass relevance vector machines: sparsity and accuracy. - Ioannis Psorakis; Theodoros Damoulas; Mark A. Girolami (IEEE Trans. Neural Networks, 2010)

Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling. - Ronan LeBras; Theodoros Damoulas; John M. Gregoire; Ashish Sabharwal; Carla P. Gomes; R. Bruce van Dover (CP, 2011)

Protein interaction sentence detection using multiple semantic kernels. - Tamara Polajnar; Theodoros Damoulas; Mark A. Girolami (J. Biomed. Semant., 2011)

eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research. - Steve Kelling; Jeff Gerbracht; Daniel Fink 002; Carl Lagoze; Weng-Keen Wong; Jun Yu; Theodoros Damoulas; Carla P. Gomes (IAAI, 2012)

Adaptive Spatio-Temporal Exploratory Models: Hemisphere-wide species distributions from massively crowdsourced eBird data. - Daniel Fink 002; Theodoros Damoulas; Jaimin Dave (AAAI, 2013)

Improving Your Chances: Boosting Citizen Science Discovery. - Yexiang Xue; Bistra Dilkina; Theodoros Damoulas; Daniel Fink 002; Carla P. Gomes; Steve Kelling (HCOMP, 2013)

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research. - Steve Kelling; Jeff Gerbracht; Daniel Fink 002; Carl Lagoze; Weng-Keen Wong; Jun Yu; Theodoros Damoulas; Carla P. Gomes (AI Mag., 2013)

String Kernels for Complex Time-Series: Counting Targets from Sensed Movement. - Theodoros Damoulas; Jin He; Richard Bernstein; Carla P. Gomes; Anish Arora (ICPR, 2014)

Crowdsourcing Meets Ecology: Hemisphere-Wide Spatiotemporal Species Distribution Models. - Daniel Fink 002; Theodoros Damoulas; Nicholas E. Bruns; Frank A. La Sorte; Wesley M. Hochachka; Carla P. Gomes; Steve Kelling (AI Mag., 2014)

Using Topological Analysis to Support Event-Guided Exploration in Urban Data. - Harish Doraiswamy; Nivan Ferreira; Theodoros Damoulas; Juliana Freire; Cláudio T. Silva (IEEE Trans. Vis. Comput. Graph., 2014)

Mining 911 Calls in New York City: Temporal Patterns, Detection, and Forecasting. - Alex Chohlas-Wood; Aliya Merali; Warren Reed; Theodoros Damoulas (AAAI Workshop: AI for Cities, 2015)

Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa. - Stefano Ermon; Yexiang Xue; Russell Toth; Bistra Dilkina; Richard Bernstein; Theodoros Damoulas; Patrick E. Clark; Steve DeGloria; Andrew Mude; Christopher Barrett; Carla P. Gomes (AAAI, 2015)

Reports from the 2015 AAAI Workshop Program. - Stefano V. Albrecht; J. Christopher Beck; David L. Buckeridge; Adi Botea; Cornelia Caragea; Chi-Hung Chi; Theodoros Damoulas; Bistra Dilkina; Eric Eaton; Pooyan Fazli; Sam Ganzfried; Marius Lindauer; et al. (AI Mag., 2015)

Combining Heterogeneous User Generated Data to Sense Well-being. - Adam Tsakalidis; Maria Liakata; Theodoros Damoulas; Brigitte Jellinek; Weisi Guo; Alexandra I. Cristea (COLING, 2016)

A spatio-temporal, Gaussian process regression, real-estate price predictor. - Henry Crosby; Paul Davis; Theodoros Damoulas; Stephen A. Jarvis (SIGSPATIAL/GIS, 2016)

Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets. - Fernando Chirigati; Harish Doraiswamy; Theodoros Damoulas; Juliana Freire (SIGMOD Conference, 2016)

Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis. - Edward Chuah; Arshad Jhumka; Samantha Alt; Theodoros Damoulas; Nentawe Gurumdimma; Marie-Christine Sawley; William L. Barth; Tommy Minyard; James C. Browne (HiPC, 2017)

Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection. - Jeremias Knoblauch; Theodoros Damoulas (ICML, 2018)

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with beta-Divergences. - Jeremias Knoblauch; Jack Jewson; Theodoros Damoulas (NeurIPS, 2018)

Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation. - Adam Tsakalidis; Maria Liakata; Theo Damoulas; Alexandra I. Cristea (ECML/PKDD (3), 2018)

Log Gaussian Cox Process Networks. - Virginia Aglietti; Theodoros Damoulas; Edwin V. Bonilla (CoRR, 2018)

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences. - Jeremias Knoblauch; Jack Jewson; Theodoros Damoulas (CoRR, 2018)

Road distance and travel time for an improved house price Kriging predictor. - Henry Crosby; Theo Damoulas; Alex Caton; Paul Davis; João Porto de Albuquerque; Stephen A. Jarvis (Geo spatial Inf. Sci., 2018)

Efficient Inference in Multi-task Cox Process Models. - Virginia Aglietti; Theodoros Damoulas; Edwin V. Bonilla (AISTATS, 2019)

Online Transfer Learning for Concept Drifting Data Streams. - Helen McKay; Nathan Griffiths; Phillip Taylor; Theo Damoulas; Zhou Xu (BigMine@KDD, 2019)

Structured Variational Inference in Continuous Cox Process Models. - Virginia Aglietti; Edwin V. Bonilla; Theodoros Damoulas; Sally Cripps (NeurIPS, 2019)

Multi-resolution Multi-task Gaussian Processes. - Oliver Hamelijnck; Theodoros Damoulas; Kangrui Wang; Mark A. Girolami (NeurIPS, 2019)

Generalized Variational Inference. - Jeremias Knoblauch; Jack Jewson; Theodoros Damoulas (CoRR, 2019)

On the Constrained Least-cost Tour Problem. - Patrick O'Hara; M. S. Ramanujan 001; Theodoros Damoulas (CoRR, 2019)

Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization. - Ying Zhang 037; Ömer Deniz Akyildiz; Theo Damoulas; Sotirios Sabanis (CoRR, 2019)

Probabilistic sequential matrix factorization. - Ömer Deniz Akyildiz; Theodoros Damoulas; Mark F. J. Steel (CoRR, 2019)

Embedding road networks and travel time into distance metrics for urban modelling. - Henry Crosby; Theodoros Damoulas; Stephen A. Jarvis (Int. J. Geogr. Inf. Sci., 2019)

Non-separable Non-stationary random fields. - Kangrui Wang; Oliver Hamelijnck; Theodoros Damoulas; Mark F. J. Steel (ICML, 2020)

Multi-task Causal Learning with Gaussian Processes. - Virginia Aglietti; Theodoros Damoulas; Mauricio A. Álvarez; Javier González 002 (NeurIPS, 2020)

Generalised Bayesian Filtering via Sequential Monte Carlo. - Ayman Boustati; Ömer Deniz Akyildiz; Theodoros Damoulas; Adam M. Johansen (NeurIPS, 2020)

Bi-directional online transfer learning: a framework. - Helen McKay; Nathan Griffiths; Phillip Taylor; Theo Damoulas; Zhou Xu (Ann. des Télécommunications, 2020)

Generalized Bayesian Filtering via Sequential Monte Carlo. - Ayman Boustati; Ömer Deniz Akyildiz; Theodoros Damoulas; Adam M. Johansen (CoRR, 2020)

Distribution Regression for Continuous-Time Processes via the Expected Signature. - Maud Lemercier; Cristopher Salvi; Theodoros Damoulas; Edwin V. Bonilla; Terry J. Lyons (CoRR, 2020)

Variational Autoencoding of PDE Inverse Problems. - Daniel J. Tait; Theodoros Damoulas (CoRR, 2020)

Exoplanet Validation with Machine Learning: 50 new validated Kepler planets. - David J. Armstrong; Jevgenij Gamper; Theodoros Damoulas (CoRR, 2020)

An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System. - Chance Haycock; Edward Thorpe-Woods; James Walsh 004; Patrick O'Hara; Oscar Giles; Neil Dhir; Theodoros Damoulas (CoRR, 2020)

Near Real-Time Social Distancing in London. - James Walsh 004; Oluwafunmilola Kesa; Andrew Wang 004; Mihai Ilas; Patrick O'Hara; Oscar Giles; Neil Dhir; Theodoros Damoulas (CoRR, 2020)

Posterior inference for sparse hierarchical non-stationary models. - Karla Monterrubio-Gómez; Lassi Roininen; Sara Wade; Theodoros Damoulas; Mark Girolami (Comput. Stat. Data Anal., 2020)

Road and travel time cross-validation for urban modelling. - Henry Crosby; Theodoros Damoulas; Stephen A. Jarvis (Int. J. Geogr. Inf. Sci., 2020)

Probabilistic Sequential Matrix Factorization. - Ömer Deniz Akyildiz; Gerrit J. J. van den Burg; Theodoros Damoulas; Mark F. J. Steel (AISTATS, 2021)

Distribution Regression for Sequential Data. - Maud Lemercier; Cristopher Salvi; Theodoros Damoulas; Edwin V. Bonilla; Terry J. Lyons (AISTATS, 2021)

Transforming Gaussian Processes With Normalizing Flows. - Juan Maroñas; Oliver Hamelijnck; Jeremias Knoblauch; Theodoros Damoulas (AISTATS, 2021)

SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data. - Maud Lemercier; Cristopher Salvi; Thomas Cass; Edwin V. Bonilla; Theodoros Damoulas; Terry J. Lyons (ICML, 2021)

Dynamic Causal Bayesian Optimization. - Virginia Aglietti; Neil Dhir; Javier González 002; Theodoros Damoulas (NeurIPS, 2021)

Spatio-Temporal Variational Gaussian Processes. - Oliver Hamelijnck; William J. Wilkinson; Niki Andreas Lopi; Arno Solin; Theodoros Damoulas (NeurIPS, 2021)

Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes. - Cristopher Salvi; Maud Lemercier; Chong Liu; Blanka Horvath; Theodoros Damoulas; Terry J. Lyons (NeurIPS, 2021)

A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities. - Shanaka Perera; Virginia Aglietti; Theodoros Damoulas (CoRR, 2021)

Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap. - Charita Dellaporta; Jeremias Knoblauch; Theodoros Damoulas; François-Xavier Briol (AISTATS, 2022)

Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification. - Joel Jaskari; Jaakko Sahlsten; Theodoros Damoulas; Jeremias Knoblauch; Simo Särkkä; Leo Kärkkäinen; Kustaa Hietala; Kimmo K. Kaski (IEEE Access, 2022)

Towards Computing an Optimal Abstraction for Structural Causal Models. - Fabio Massimo Zennaro; Paolo Turrini; Theodoros Damoulas (CoRR, 2022)

An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference. - Jeremias Knoblauch; Jack Jewson; Theodoros Damoulas (J. Mach. Learn. Res., 2022)

Causal Entropy Optimization. - Nicola Branchini; Virginia Aglietti; Neil Dhir; Theodoros Damoulas (AISTATS, 2023)

Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. - Fabio Massimo Zennaro; Máté Drávucz; Geanina Apachitei; Widanalage Dhammika Widanage; Theodoros Damoulas (CLeaR, 2023)

Quantifying Consistency and Information Loss for Causal Abstraction Learning. - Fabio Massimo Zennaro; Paolo Turrini; Theodoros Damoulas (IJCAI, 2023)

Interventionally Consistent Surrogates for Agent-based Simulators. - Joel Dyer; Nicholas Bishop; Yorgos Felekis; Fabio Massimo Zennaro; Anisoara Calinescu; Theodoros Damoulas; Michael J. Wooldridge (CoRR, 2023)

Routing on Sparse Graphs with Non-metric Costs for the Prize-collecting Travelling Salesperson Problem. - Patrick O'Hara; Ramanujan Sridharan; Theo Damoulas (ATT@ECAI, 2024)

Causal Optimal Transport of Abstractions. - Yorgos Felekis; Fabio Massimo Zennaro; Nicola Branchini; Theodoros Damoulas (CLeaR, 2024)

Interventionally Consistent Surrogates for Complex Simulation Models. - Joel Dyer; Nicholas Bishop; Yorgos Felekis; Fabio Massimo Zennaro; Anisoara Calinescu; Theodoros Damoulas; Michael J. Wooldridge (NeurIPS, 2024)

Physics-Informed Variational State-Space Gaussian Processes. - Oliver Hamelijnck; Arno Solin; Theodoros Damoulas (NeurIPS, 2024)

Generating Origin-Destination Matrices in Neural Spatial Interaction Models. - Ioannis Zachos; Mark Girolami; Theodoros Damoulas (NeurIPS, 2024)

Causally Abstracted Multi-armed Bandits. - Fabio Massimo Zennaro; Nicholas Bishop; Joel Dyer; Yorgos Felekis; Anisoara Calinescu; Michael J. Wooldridge; Theodoros Damoulas (UAI, 2024)

Distributionally Robust Optimisation with Bayesian Ambiguity Sets. - Charita Dellaporta; Patrick O'Hara; Theodoros Damoulas (CoRR, 2024)

Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets. - Charita Dellaporta; Patrick O'Hara; Theodoros Damoulas (CoRR, 2024)

Near Real-Time Social Distance Estimation In London. - James Walsh 004; Oluwafunmilola Kesa; Andrew Wang 004; Mihai Ilas; Patrick O'Hara; Oscar Giles; Neil Dhir; Mark Girolami; Theodoros Damoulas (Comput. J., 2024)

Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework. - Terje Mildner; Oliver Hamelijnck; Paris Giampouras; Theodoros Damoulas (CoRR, 2025)

Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets. - Charita Dellaporta; Patrick O'Hara; Theodoros Damoulas (CoRR, 2025)