P. Newman and D. D. Martini, B. Ramtoula et al. (2023) Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
L. Li, M. W. Spratling (2023) Understanding and combating robust overfitting via input loss landscape analysis and regularization, Pattern Recognition
L. Li, M. W. Spratling (2023) Data Augmentation Alone Can Improve Adversarial Training, International Conference on Learning Representations (ICLR)
C. Lu, T. Willi, C. S. de Witt, J. Foerster. (2022) Model-Free Opponent Shaping In International Conference on Machine Learning. ICML(Spotlight) (pp. 14398-14411). PMLR.
C. Lu, J. G. Kuba, A. Letcher et al. (2022) Discovered Policy Optimisation NeurIPS Decision Awareness in Reinforcement Learning Workshop ICML
C. Lu, T. Willi, A. Letcher, J. Foerster. (2022) Adversarial Cheap Talk Workshop on Machine Learning for Cybersecurity, Decision Awareness in Reinforcement Learning Workshop, ICML
D. Granziol, S. Zohren, S. Roberts (2022). Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training, Journal of Machine Learning Research 23(173):1-65
A. Proudman, M. Ramezani, S.T. Digumarti, N. Chebrolu & M. Fallon. (2022) Towards real-time forest inventory using handheld LiDAR, Robotics and Autonomous Systems, 157.
Y. Wang, M. Ramezani, M. Mattamala, S.T.’Digumarti & M. Fallon (2022) Strategies for large scale elastic and semantic LiDAR reconstruction, Robotics and Autonomous Systems, 155.
S. Gangapurwala, M. Geisert, R. Orsolino et al. (2022) RLOC: terrain-aware legged locomotion using reinforcement learning and optimal control, IEEE Transactions on Robotics, IEEE.
J. Scheen, M. Mackey, J. Michel (2022) Data-driven generation of perturbation networks for relative binding free energy calculations, Digital Discovery, 1, 870-885.
S. Joutard, R. Dorent, S.Ourselin, T. Vercauteren, M. Modat (2022) Driving Points Prediction For Abdominal Probabilistic Registration, MLMI
A. Darkhalil, D. Shan, et al. (2022) EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations, Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track.
W. Price, C. Vondrick, D. Damen (2022) UnweaveNet: Unweaving Activity Stories, IEEE/CVF Computer Vision and Pattern Recognition (CVPR).
J Ma, D Damen. Hand-Object Interaction Reasoning. (2022) IEEE Conf. on Advanced Video and Signal-Based Surveillance (AVSS).
D. Damen, H. Doughty et al. (2022) Rescaling Egocentric Vision: Collection Pipeline and Challenges for EPIC-KITCHENS-100, International Journal of Computer Vision (IJCV).
Abhra Chaudhuri et al. (2022) Relational Proxies: Emergent Relationships as Fine-Grained Discriminators, In the Proceedings of Neural Information Processing Systems (NeurIPS), New Orleans, USA
Turner et al. (2022) Neuromorphic Computing and Engineering, Accelerating SNN inference using GPU-enabled neural networks
Knight et al. (2022) Neuro-Inspired Computational Elements Conference, Efficient GPU training of LSNNs using eProp.
Nowotny et al. (2022) Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks
Y. Zhou, B. Li, J Wang, E. Rocco & Q. Meng (2022) Discovering unknowns: Context-enhanced anomaly detection for curiosity-driven autonomous underwater exploration, Pattern Recognition, 131, p.108860.
L. Jiang, G. Schaefer, & Q. Meng (2022) An Improved Novel View Synthesis Approach Based on Feature Fusion and Channel Attention. IEEE International Conference on Systems Man, and Cybernetics (SMC) (pp. 2459-2464).
J. Huo, H. Cai, & Q. Meng (2022) Graph Instinctive Attention Convolutional Network for Skeleton-Based Action Recognition. IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1606-1611).
S. Sarkar, E. Benetos, M.Sandler (2021) Vocal Harmony Separation Using Time-Domain Neural Networks, Proc. Interspeech 2021, 3515-3519, doi: 10.21437/Interspeech.2021-1531
Ali Akbari et al. (2021) How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation, ICML, 141-151.
E. Kazakos, A. Nagrani, A. Zisserman, D. Damen (2021) Slow-Fast Auditory Streams for Audio Recognition IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
E. Kazakos, J. Huh, A. Nagrani, A. Zisserman, D. Damen (2021) With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition British Machine Vision Conference (BMVC).
D. Damen, H. Doughty et al. (2021) The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 43, no. 11, pp. 4125-4141.
G. Lucas, S. Jeub, G. Colavizza, X. Dong et al. (2021) Local2global: Scaling global representation learning on graphs via local training, In KDD 2021 workshop on Deep Learning on Graphs, DLG-KDD’21