Summary of Nn2poly: An R Package For Converting Neural Networks Into Interpretable Polynomials, by Pablo Morala (1 and 2) et al.
nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomialsby Pablo Morala, Jenny Alexandra…
Summary of Tilting the Odds at the Lottery: the Interplay Of Overparameterisation and Curricula in Neural Networks, by Stefano Sarao Mannelli and Yaraslau Ivashynka and Andrew Saxe and Luca Saglietti
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networksby…
Summary of Timecma: Towards Llm-empowered Multivariate Time Series Forecasting Via Cross-modality Alignment, by Chenxi Liu et al.
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignmentby Chenxi Liu, Qianxiong Xu, Hao…
Summary of Automatic Fused Multimodal Deep Learning For Plant Identification, by Alfreds Lapkovskis et al.
Automatic Fused Multimodal Deep Learning for Plant Identificationby Alfreds Lapkovskis, Natalia Nefedova, Ali BeikmohammadiFirst submitted…
Summary of Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters, by Ya-wei Eileen Lin et al.
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filtersby Ya-Wei Eileen Lin, Ronen Talmon, Ron…
Summary of On the Nonlinearity Of Layer Normalization, by Yunhao Ni et al.
On the Nonlinearity of Layer Normalizationby Yunhao Ni, Yuxin Guo, Junlong Jia, Lei HuangFirst submitted…
Summary of From Feature Visualization to Visual Circuits: Effect Of Adversarial Model Manipulation, by Geraldin Nanfack et al.
From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulationby Geraldin Nanfack, Michael Eickenberg,…
Summary of Effective Subset Selection Through the Lens Of Neural Network Pruning, by Noga Bar and Raja Giryes
Effective Subset Selection Through The Lens of Neural Network Pruningby Noga Bar, Raja GiryesFirst submitted…
Summary of State Space Models on Temporal Graphs: a First-principles Study, by Jintang Li et al.
State Space Models on Temporal Graphs: A First-Principles Studyby Jintang Li, Ruofan Wu, Xinzhou Jin,…
Summary of Confidence-based Task Prediction in Continual Disease Classification Using Probability Distribution, by Tanvi Verma and Lukas Schwemer and Mingrui Tan and Fei Gao and Yong Liu and Huazhu Fu
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distributionby Tanvi Verma, Lukas Schwemer, Mingrui…