Summary of Distribution Learning For Molecular Regression, by Nima Shoghi et al.
Distribution Learning for Molecular Regressionby Nima Shoghi, Pooya Shoghi, Anuroop Sriram, Abhishek DasFirst submitted to…
Summary of Revisiting Agnostic Pac Learning, by Steve Hanneke et al.
Revisiting Agnostic PAC Learningby Steve Hanneke, Kasper Green Larsen, Nikita ZhivotovskiyFirst submitted to arxiv on:…
Summary of Bayesian Meta Learning For Trustworthy Uncertainty Quantification, by Zhenyuan Yuan et al.
Bayesian meta learning for trustworthy uncertainty quantificationby Zhenyuan Yuan, Thinh T. DoanFirst submitted to arxiv…
Summary of How to Train the Teacher Model For Effective Knowledge Distillation, by Shayan Mohajer Hamidi et al.
How to Train the Teacher Model for Effective Knowledge Distillationby Shayan Mohajer Hamidi, Xizhen Deng,…
Summary of Amortized Posterior Sampling with Diffusion Prior Distillation, by Abbas Mammadov et al.
Amortized Posterior Sampling with Diffusion Prior Distillationby Abbas Mammadov, Hyungjin Chung, Jong Chul YeFirst submitted…
Summary of Fast Convergence Of the Expectation Maximization Algorithm Under a Logarithmic Sobolev Inequality, by Rocco Caprio et al.
Fast convergence of the Expectation Maximization algorithm under a logarithmic Sobolev inequalityby Rocco Caprio, Adam…
Summary of Enhanced Feature Learning Via Regularisation: Integrating Neural Networks and Kernel Methods, by Bertille Follain and Francis Bach
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methodsby Bertille Follain, Francis BachFirst…
Summary of Low Dimensional Representation Of Multi-patient Flow Cytometry Datasets Using Optimal Transport For Minimal Residual Disease Detection in Leukemia, by Erell Gachon et al.
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease…
Summary of Provable Benefit Of Annealed Langevin Monte Carlo For Non-log-concave Sampling, by Wei Guo et al.
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Samplingby Wei Guo, Molei Tao, Yongxin…
Summary of Conformally Natural Families Of Probability Distributions on Hyperbolic Disc with a View on Geometric Deep Learning, by Vladimir Jacimovic and Marijan Markovic
Conformally Natural Families of Probability Distributions on Hyperbolic Disc with a View on Geometric Deep…