Amos Storkey - RankMe

40 papers A* 4A 1Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rationality Measurement and Theory for Reinforcement Learning Agents. CoRR Kejiang Qian, Amos Storkey, Fengxiang He
2025	J	`jnl`	DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration. ACM Trans. Archit. Code Optim. Perry Gibson, José Cano, Elliot Crowley, Amos Storkey, Michael F. P. O'Boyle
2025	J	`jnl`	Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images. IEEE Trans. Medical Imaging Alessandro Fontanella, Grant Mair, Joanna M. Wardlaw, Emanuele Trucco, Amos Storkey
2025	J	`jnl`	Forgetting is Everywhere. CoRR Ben Sanati, Thomas L. Lee, Trevor McInroe, Aidan Scannell, Nikolay Malkin, David Abel, Amos Storkey
2025	J	`jnl`	Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report. CoRR Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul E. Chang
2025	J	`jnl`	Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering. CoRR Akash Gupta, Amos Storkey, Mirella Lapata
2025	A*	`conf`	Poster: On Harnessing Idle Compute at the Edge for Foundation Model Training. MobiCom Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos Storkey, Randal C. Burns, Mahesh K. Marina
2025	J	`jnl`	Remembering the Markov Property in Cooperative MARL. CoRR Kale-ab Abebe Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos Storkey
2024	—	`conf`	Chunking: Continual Learning is not just about Distribution Shift. CoLLAs Thomas L. Lee, Amos Storkey
2024	J	`jnl`	Hyperparameter Selection in Continual Learning. CoRR Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J. Crowley, Amos Storkey
2024	A*	`conf`	einspace: Searching for Neural Architectures from Fundamental Operations. NeurIPS Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
2024	J	`jnl`	einspace: Searching for Neural Architectures from Fundamental Operations. CoRR Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
2023	A	`conf`	Adversarial robustness of VAEs through the lens of local geometry. AISTATS Asif Khan, Amos Storkey
2023	J	`jnl`	Chunking: Forgetting Matters in Continual Learning even without Changing Tasks. CoRR Thomas L. Lee, Amos Storkey
2023	J	`jnl`	Class Conditional Gaussians for Continual Learning. CoRR Thomas L. Lee, Amos Storkey
2023	J	`jnl`	Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views. CoRR Asif Khan, Amos Storkey
2023	J	`jnl`	DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack. CoRR Perry Gibson, José Cano, Elliot J. Crowley, Amos Storkey, Michael F. P. O'Boyle
2023	J	`jnl`	Few-Shot Learning With Class Imbalance. IEEE Trans. Artif. Intell. Mateusz Ochal, Massimiliano Patacchiola, Jose Vazquez, Amos Storkey, Sen Wang
2022	J	`jnl`	Adversarial robustness of β-VAE through the lens of local geometry. CoRR Asif Khan, Amos Storkey
2022	J	`jnl`	Meta-Learning in Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos Storkey
2022	—	`conf`	Prediction-Guided Distillation for Dense Object Detection. ECCV (9) Chenhongyi Yang, Mateusz Ochal, Amos Storkey, Elliot J. Crowley
2022	J	`jnl`	Prediction-Guided Distillation for Dense Object Detection. CoRR Chenhongyi Yang, Mateusz Ochal, Amos Storkey, Elliot J. Crowley
2021	J	`jnl`	Hamiltonian Operator Disentanglement of Content and Motion in Image Sequences. CoRR Mohammad Asif Khan, Amos Storkey
2021	A*	`conf`	Neural Architecture Search without Training. ICML Joe Mellor, Jack Turner, Amos Storkey, Elliot J. Crowley
2021	J	`jnl`	Substituting Convolutions for Neural Network Compression. IEEE Access Elliot J. Crowley, Gavin Gray, Jack Turner, Amos Storkey
2020	A*	`conf`	BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget. ICLR Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey, Gavin Gray
2020	J	`jnl`	Neural Architecture Search without Training. CoRR Joseph Charles Mellor, Jack Turner, Amos Storkey, Elliot J. Crowley
2020	—	`conf`	Optimizing Grouped Convolutions on Edge Devices. ASAP Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2020	J	`jnl`	Optimizing Grouped Convolutions on Edge Devices. CoRR Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2020	J	`jnl`	Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. CoRR Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos Storkey, Michael F. P. O'Boyle
2019	J	`jnl`	BlockSwap: Fisher-guided Block Substitution for Network Compression. CoRR Jack Turner, Elliot J. Crowley, Gavin Gray, Amos Storkey, Michael F. P. O'Boyle
2019	J	`jnl`	Deep Kernel Transfer in Gaussian Processes for Few-shot Learning. CoRR Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos Storkey
2019	—	`conf`	Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. IISWC Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos Storkey, Michael F. P. O'Boyle
2019	J	`jnl`	Separable Layers Enable Structured Efficient Linear Substitutions. CoRR Gavin Gray, Elliot J. Crowley, Amos Storkey
2018	—	`conf`	Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. IISWC Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2018	J	`jnl`	Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. CoRR Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2018	J	`jnl`	Dilated DenseNets for Relational Reasoning. CoRR Antreas Antoniou, Agnieszka Slowik, Elliot J. Crowley, Amos Storkey
2018	J	`jnl`	HAKD: Hardware Aware Knowledge Distillation. CoRR Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos Storkey, Michael F. P. O'Boyle
2018	J	`jnl`	Pruning neural networks: is it time to nip it in the bud? CoRR Elliot J. Crowley, Jack Turner, Amos Storkey, Michael F. P. O'Boyle
2017	J	`jnl`	Moonshine: Distilling with Cheap Convolutions. CoRR Elliot J. Crowley, Gavin Gray, Amos Storkey