Neil Dhir - RankMe

23 papers A* 3A 3B 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	General Autonomous Cybersecurity Defense: Learning Robust Policies for Dynamic Topologies and Diverse Attackers. CoRR Arun Ramamurthy, Neil Dhir
2025	A*	`conf`	Neurosymbolic World Models for Sequential Decision Making. ICML Leonardo Hernandez Cano, Maxine Perroni-Scharf, Neil Dhir, Arun Ramamurthy, Armando Solar-Lezama
2024	J	`jnl`	Near Real-Time Social Distance Estimation In London. Comput. J. James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O'Hara, Oscar Giles, Neil Dhir, Mark Girolami, Theodoros Damoulas
2024	J	`jnl`	Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search. CoRR Kim Hammar, Neil Dhir, Rolf Stadler
2023	A	`conf`	Causal Entropy Optimization. AISTATS Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas
2023	J	`jnl`	Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure. CoRR Kim Hammar, Neil Dhir
2022	J	`jnl`	Causal Entropy Optimization. CoRR Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas
2022	J	`jnl`	Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation. CoRR Alex Andrew, Sam Spillard, Joshua Collyer, Neil Dhir
2021	J	`jnl`	Chronological Causal Bandits. CoRR Neil Dhir
2021	A*	`conf`	Dynamic Causal Bayesian Optimization. NeurIPS Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
2021	J	`jnl`	Dynamic Causal Bayesian Optimization. CoRR Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
2021	J	`jnl`	Prospective Artificial Intelligence Approaches for Active Cyber Defence. CoRR Neil Dhir, Henrique Hoeltgebaum, Niall M. Adams, Mark Briers, Anthony Burke, Paul Jones
2020	B	`conf`	An Automatic Type-Inferential General Latent Feature Model. IJCNN Neil Dhir, Tomasz Rudny, Davide Zilli, Alessandra Tosi
2020	J	`jnl`	An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System. CoRR Chance Haycock, Edward Thorpe-Woods, James Walsh, Patrick O'Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas
2020	B	`conf`	Identifying robust markers of Parkinson's disease in typing behaviour using a CNN-LSTM network. CoNLL Neil Dhir, Mathias Edman, Álvaro Sanchez Ferro, Tom Stafford, Colin J. Bannard
2020	J	`jnl`	Near Real-Time Social Distancing in London. CoRR James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O'Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas
2019	J	`jnl`	Boltzmann Exploration Expectation-Maximisation. CoRR Mathias Edman, Neil Dhir
2018	J	`jnl`	Coregionalised Locomotion Envelopes - A Qualitative Approach. CoRR Neil Dhir, Houman Dallali, Mo Rastgaar
2018	J	`jnl`	Generalising Cost-Optimal Particle Filtering. CoRR Andrew Warrington, Neil Dhir
2018	A*	`conf`	Locomotion Envelopes for Adaptive Control of Powered Ankle Prostheses. ICRA Neil Dhir, Houman Dallali, Evandro Maicon Ficanha, Guilherme Aramizo Ribeiro, Mo Rastgaar
2017	A	`conf`	Interpreting Lion Behaviour as Probabilistic Programs. UAI Neil Dhir, Matthijs Vákár, Matthew Wijers, Andrew Markham, Frank D. Wood
2016	A	`conf`	Nonparametric Bayesian models for unsupervised activity recognition and tracking. IROS Neil Dhir, Yura N. Perov, Frank D. Wood
2014	—	`conf`	Improved activity recognition via Kalman smoothing and multiclass linear discriminant analysis. EMBC Neil Dhir, Frank D. Wood