Neil Dhir

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Activity Recognition

Nonparametric Bayesian Models

Causal Structure

Linear Discriminant Analysis

Top Venues

Publications

James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O'Hara, Oscar Giles, Neil Dhir, Mark Girolami, Theodoros Damoulas
Near Real-Time Social Distance Estimation In London. Comput. J. 67 (1) (2024)
Kim Hammar, Neil Dhir, Rolf Stadler
Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search. CoRR (2024)
Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas
Causal Entropy Optimization. AISTATS (2023)
Kim Hammar, Neil Dhir
Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure. CoRR (2023)
Alex Andrew, Sam Spillard, Joshua Collyer, Neil Dhir
Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation. CoRR (2022)
Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas
Causal Entropy Optimization. CoRR (2022)
Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
Dynamic Causal Bayesian Optimization. NeurIPS (2021)
Neil Dhir
Chronological Causal Bandits. CoRR (2021)
Neil Dhir, Henrique Hoeltgebaum, Niall M. Adams, Mark Briers, Anthony Burke, Paul Jones
Prospective Artificial Intelligence Approaches for Active Cyber Defence. CoRR (2021)
Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
Dynamic Causal Bayesian Optimization. CoRR (2021)
Neil Dhir, Tomasz Rudny, Davide Zilli, Alessandra Tosi
An Automatic Type-Inferential General Latent Feature Model. IJCNN (2020)
Neil Dhir, Mathias Edman, Álvaro Sanchez Ferro, Tom Stafford, Colin J. Bannard
Identifying robust markers of Parkinson's disease in typing behaviour using a CNN-LSTM network. CoNLL (2020)
Chance Haycock, Edward Thorpe-Woods, James Walsh, Patrick O'Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas
An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System. CoRR (2020)
James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O'Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas
Near Real-Time Social Distancing in London. CoRR (2020)
Mathias Edman, Neil Dhir
Boltzmann Exploration Expectation-Maximisation. CoRR (2019)
Neil Dhir, Houman Dallali, Evandro Maicon Ficanha, Guilherme Aramizo Ribeiro, Mo Rastgaar
Locomotion Envelopes for Adaptive Control of Powered Ankle Prostheses. ICRA (2018)
Andrew Warrington, Neil Dhir
Generalising Cost-Optimal Particle Filtering. CoRR (2018)
Neil Dhir, Houman Dallali, Mo Rastgaar
Coregionalised Locomotion Envelopes - A Qualitative Approach. CoRR (2018)
Neil Dhir, Matthijs Vákár, Matthew Wijers, Andrew Markham, Frank D. Wood
Interpreting Lion Behaviour as Probabilistic Programs. UAI (2017)
Neil Dhir, Yura N. Perov, Frank D. Wood
Nonparametric Bayesian models for unsupervised activity recognition and tracking. IROS (2016)
Neil Dhir, Frank D. Wood
Improved activity recognition via Kalman smoothing and multiclass linear discriminant analysis. EMBC (2014)