14 papers
Causal State-Space Model for Causal Inference: Estimating Longitudinal Individual Treatment Effects
Abisoye Abidakun, Mingjun Zhong, Georgios Leontidis
Estimating counterfactual outcomes over time from longitudinal observational data is central to clinical decision support. Existing methods rely on domain confusion -- adversarial…
Group-Equivariant Poincaré Convolutional Networks
Aiden Durrant, Rahul Baburajan, Georgios Leontidis
While recent advancements like the Poincaré ResNet have demonstrated the potential of learning visual representations directly in hyperbolic space, their optimisation remains hamp…
HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers
Andy Li, Aiden Durrant, Milan Markovic +1
Vision Transformers require significant computational resources and memory bandwidth, severely limiting their deployment on resource-constraint hardware. Most structured pruning me…
Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning
Tewodros Alemu Ayall, Andy Li, Matthew Beddows +2
Rapid global population growth underscores the need for digitally enabled agricultural systems that support sustainable food production and data-driven resource management for farm…
The Impact of Semantic Pairs on Self-Supervised Representation Learning
Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong
Instance discrimination learns visual representations by treating different augmented views of the same image as positive pairs. While this encourages invariance to handcrafted tra…
NOFE - Neural Operator Function Embedding
Lars Uebbing, Harald L. Joakimsen, Siyan Chen +6
Most dimensionality reduction methods treat data as discrete point clouds, ignoring the continuous domain structure inherent to many real-world processes. To bridge this gap, we in…