Summary of Neural Methods For Amortized Inference, by Andrew Zammit-mangion et al.
Neural Methods for Amortized Inferenceby Andrew Zammit-Mangion, Matthew Sainsbury-Dale, Raphaël HuserFirst submitted to arxiv on:…
Summary of Lean Copilot: Large Language Models As Copilots For Theorem Proving in Lean, by Peiyang Song et al.
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Leanby Peiyang Song, Kaiyu…
Summary of Kdk: a Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning, by Marco Arazzi et al.
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learningby Marco Arazzi, Serena…
Summary of Bayesian Evidence Estimation From Posterior Samples with Normalizing Flows, by Rahul Srinivasan et al.
Bayesian evidence estimation from posterior samples with normalizing flowsby Rahul Srinivasan, Marco Crisostomi, Roberto Trotta,…
Summary of Triforce: Lossless Acceleration Of Long Sequence Generation with Hierarchical Speculative Decoding, by Hanshi Sun et al.
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decodingby Hanshi Sun, Zhuoming Chen,…
Summary of Ld-pruner: Efficient Pruning Of Latent Diffusion Models Using Task-agnostic Insights, by Thibault Castells et al.
LD-Pruner: Efficient Pruning of Latent Diffusion Models using Task-Agnostic Insightsby Thibault Castells, Hyoung-Kyu Song, Bo-Kyeong…
Summary of Variational Bayesian Last Layers, by James Harrison et al.
Variational Bayesian Last Layersby James Harrison, John Willes, Jasper SnoekFirst submitted to arxiv on: 17…
Summary of Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models, by Shivvrat Arya et al.
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Modelsby Shivvrat Arya,…
Summary of Deep Dependency Networks and Advanced Inference Schemes For Multi-label Classification, by Shivvrat Arya et al.
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classificationby Shivvrat Arya, Yu Xiang, Vibhav…
Summary of Towards Reliable Empirical Machine Unlearning Evaluation: a Cryptographic Game Perspective, by Yiwen Tu et al.
Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspectiveby Yiwen Tu, Pingbang Hu, Jiaqi…