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Journal Articles
- 2024
[j1]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): 95-109 (2024)
Conference and Workshop Papers
- 2023
- [c8]Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas:
Causal Entropy Optimization. AISTATS 2023: 8586-8605 - 2021
- [c7]Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas:
Dynamic Causal Bayesian Optimization. NeurIPS 2021: 10549-10560 - 2020
- [c6]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: 578-595 - [c5]Neil Dhir, Tomasz Rudny, Davide Zilli, Alessandra Tosi:
An Automatic Type-Inferential General Latent Feature Model. IJCNN 2020: 1-8 - 2018
- [c4]Neil Dhir, Houman Dallali, Evandro Maicon Ficanha, Guilherme Aramizo Ribeiro, Mo Rastgaar:
Locomotion Envelopes for Adaptive Control of Powered Ankle Prostheses. ICRA 2018: 1488-1495 - 2017
- [c3]Neil Dhir, Matthijs Vákár, Matthew Wijers, Andrew Markham, Frank D. Wood:
Interpreting Lion Behaviour as Probabilistic Programs. UAI 2017 - 2016
- [c2]Neil Dhir, Yura N. Perov, Frank D. Wood:
Nonparametric Bayesian models for unsupervised activity recognition and tracking. IROS 2016: 4040-4045 - 2014
- [c1]Neil Dhir, Frank D. Wood:
Improved activity recognition via Kalman smoothing and multiclass linear discriminant analysis. EMBC 2014: 582-585
Informal and Other Publications
- 2024
- [i12]Kim Hammar, Neil Dhir, Rolf Stadler:
Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search. CoRR abs/2407.11070 (2024) - 2023
- [i11]Kim Hammar, Neil Dhir:
Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure. CoRR abs/2309.02287 (2023) - 2022
- [i10]Alex Andrew, Sam Spillard, Joshua Collyer, Neil Dhir:
Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation. CoRR abs/2207.12355 (2022) - [i9]Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas:
Causal Entropy Optimization. CoRR abs/2208.10981 (2022) - 2021
- [i8]Neil Dhir, Henrique Hoeltgebaum, Niall M. Adams, Mark Briers, Anthony Burke, Paul Jones:
Prospective Artificial Intelligence Approaches for Active Cyber Defence. CoRR abs/2104.09981 (2021) - [i7]Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas:
Dynamic Causal Bayesian Optimization. CoRR abs/2110.13891 (2021) - [i6]Neil Dhir:
Chronological Causal Bandits. CoRR abs/2112.01819 (2021) - 2020
- [i5]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 abs/2012.07574 (2020) - [i4]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 abs/2012.07751 (2020) - 2019
- [i3]Mathias Edman, Neil Dhir:
Boltzmann Exploration Expectation-Maximisation. CoRR abs/1912.08869 (2019) - 2018
- [i2]Neil Dhir, Houman Dallali, Mo Rastgaar:
Coregionalised Locomotion Envelopes - A Qualitative Approach. CoRR abs/1803.04965 (2018) - [i1]Andrew Warrington, Neil Dhir:
Generalising Cost-Optimal Particle Filtering. CoRR abs/1805.00890 (2018)
Coauthor Index
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