Summary of Scaling Gaussian Processes For Learning Curve Prediction Via Latent Kronecker Structure, by Jihao Andreas Lin et al.
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structureby Jihao Andreas Lin, Sebastian…
Summary of M3hop-cot: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-thought, by Gitanjali Kumari et al.
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thoughtby Gitanjali Kumari, Kirtan Jain, Asif EkbalFirst submitted…
Summary of Nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder, by Maksim Kuznetsov et al.
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoderby Maksim Kuznetsov, Airat Valiev, Alex Aliper,…
Summary of Benchmark Inflation: Revealing Llm Performance Gaps Using Retro-holdouts, by Jacob Haimes and Cenny Wenner and Kunvar Thaman and Vassil Tashev and Clement Neo and Esben Kran and Jason Schreiber
Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdoutsby Jacob Haimes, Cenny Wenner, Kunvar Thaman, Vassil…
Summary of Dfm: Interpolant-free Dual Flow Matching, by Denis Gudovskiy and Tomoyuki Okuno and Yohei Nakata
DFM: Interpolant-free Dual Flow Matchingby Denis Gudovskiy, Tomoyuki Okuno, Yohei NakataFirst submitted to arxiv on:…
Summary of Predicting Drug Effects From High-dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: a Comprehensive Analysis Of Multitarget Drug Effect Prediction, By Avishek Bose and Guojing Cong
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive…
Summary of Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-based Thresholding, by Sofiane Laridi et al.
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholdingby Sofiane Laridi, Gregory Palmer, Kam-Ming…
Summary of Ranking Over Regression For Bayesian Optimization and Molecule Selection, by Gary Tom et al.
Ranking over Regression for Bayesian Optimization and Molecule Selectionby Gary Tom, Stanley Lo, Samantha Corapi,…
Summary of Deeposets: Non-autoregressive In-context Learning Of Supervised Learning Operators, by Shao-ting Chiu et al.
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operatorsby Shao-Ting Chiu, Junyuan Hong, Ulisses Braga-NetoFirst submitted…
Summary of Hierarchical Uncertainty Estimation For Learning-based Registration in Neuroimaging, by Xiaoling Hu et al.
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimagingby Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte…