Summary of Deep Activity Model: a Generative Approach For Human Mobility Pattern Synthesis, by Xishun Liao et al.
Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesisby Xishun Liao, Qinhua Jiang,…
Summary of A Retrospective Of the Tutorial on Opportunities and Challenges Of Online Deep Learning, by Cedric Kulbach et al.
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learningby Cedric Kulbach,…
Summary of Beamvq: Aligning Space-time Forecasting Model Via Self-training on Physics-aware Metrics, by Hao Wu et al.
BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metricsby Hao Wu, Xingjian Shi, Ziyue…
Summary of Scorch: a Library For Sparse Deep Learning, by Bobby Yan et al.
Scorch: A Library for Sparse Deep Learningby Bobby Yan, Alexander J. Root, Trevor Gale, David…
Summary of Recurrent and Convolutional Neural Networks in Classification Of Eeg Signal For Guided Imagery and Mental Workload Detection, by Filip Postepski et al.
Recurrent and Convolutional Neural Networks in Classification of EEG Signal for Guided Imagery and Mental…
Summary of Large Deviations Of Gaussian Neural Networks with Relu Activation, by Quirin Vogel
Large Deviations of Gaussian Neural Networks with ReLU activationby Quirin VogelFirst submitted to arxiv on:…
Summary of A Unified Law Of Robustness For Bregman Divergence Losses, by Santanu Das et al.
A unified law of robustness for Bregman divergence lossesby Santanu Das, Jatin Batra, Piyush SrivastavaFirst…
Summary of Anycbms: How to Turn Any Black Box Into a Concept Bottleneck Model, by Gabriele Dominici et al.
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Modelby Gabriele Dominici, Pietro…
Summary of Exploring a Multimodal Fusion-based Deep Learning Network For Detecting Facial Palsy, by Heng Yim Nicole Oo et al.
Exploring a Multimodal Fusion-based Deep Learning Network for Detecting Facial Palsyby Heng Yim Nicole Oo,…
Summary of Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning, by Gabriele Dominici et al.
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learningby Gabriele Dominici, Pietro Barbiero, Mateo…