Summary of Unsupervised Optimisation Of Gnns For Node Clustering, by William Leeney and Ryan Mcconville
Unsupervised Optimisation of GNNs for Node Clusteringby William Leeney, Ryan McConvilleFirst submitted to arxiv on:…
Summary of Generative Modeling Of Discrete Joint Distributions by E-geodesic Flow Matching on Assignment Manifolds, By Bastian Boll et al.
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifoldsby Bastian Boll,…
Summary of Multiscale Neuroimaging Features For the Identification Of Medication Class and Non-responders in Mood Disorder Treatment, by Bradley T. Baker et al.
Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatmentby…
Summary of Neuralsentinel: Safeguarding Neural Network Reliability and Trustworthiness, by Xabier Echeberria-barrio et al.
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthinessby Xabier Echeberria-Barrio, Mikel Gorricho, Selene Valencia, Francesco ZolaFirst…
Summary of Show Me How It’s Done: the Role Of Explanations in Fine-tuning Language Models, by Mohamad Ballout et al.
Show Me How It’s Done: The Role of Explanations in Fine-Tuning Language Modelsby Mohamad Ballout,…
Summary of Transaxx: Efficient Transformers with Approximate Computing, by Dimitrios Danopoulos et al.
TransAxx: Efficient Transformers with Approximate Computingby Dimitrios Danopoulos, Georgios Zervakis, Dimitrios Soudris, Jörg HenkelFirst submitted…
Summary of Only the Curve Shape Matters: Training Foundation Models For Zero-shot Multivariate Time Series Forecasting Through Next Curve Shape Prediction, by Cheng Feng et al.
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through…
Summary of Weisfeiler-leman at the Margin: When More Expressivity Matters, by Billy J. Franks et al.
Weisfeiler-Leman at the margin: When more expressivity mattersby Billy J. Franks, Christopher Morris, Ameya Velingker,…
Summary of Near-minimax-optimal Distributional Reinforcement Learning with a Generative Model, by Mark Rowland et al.
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Modelby Mark Rowland, Li Kevin Wenliang, Rémi Munos,…
Summary of Zero-shot Imputation with Foundation Inference Models For Dynamical Systems, by Patrick Seifner et al.
Zero-shot Imputation with Foundation Inference Models for Dynamical Systemsby Patrick Seifner, Kostadin Cvejoski, Antonia Körner,…