Summary of Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space, by Minji Lee et al.
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Spaceby Minji Lee, Luiz…
Summary of It’s Not a Modality Gap: Characterizing and Addressing the Contrastive Gap, by Abrar Fahim et al.
It’s Not a Modality Gap: Characterizing and Addressing the Contrastive Gapby Abrar Fahim, Alex Murphy,…
Summary of Cf-opt: Counterfactual Explanations For Structured Prediction, by Germain Vivier-ardisson et al.
CF-OPT: Counterfactual Explanations for Structured Predictionby Germain Vivier-Ardisson, Alexandre Forel, Axel Parmentier, Thibaut VidalFirst submitted…
Summary of Efficient Prior Calibration From Indirect Data, by O. Deniz Akyildiz et al.
Efficient Prior Calibration From Indirect Databy O. Deniz Akyildiz, Mark Girolami, Andrew M. Stuart, Arnaud…
Summary of Crystal-lsbo: Automated Design Of De Novo Crystals with Latent Space Bayesian Optimization, by Onur Boyar et al.
Crystal-LSBO: Automated Design of De Novo Crystals with Latent Space Bayesian Optimizationby Onur Boyar, Yanheng…
Summary of Locally Testing Model Detections For Semantic Global Concepts, by Franz Motzkus et al.
Locally Testing Model Detections for Semantic Global Conceptsby Franz Motzkus, Georgii Mikriukov, Christian Hellert, Ute…
Summary of Latent Energy-based Odyssey: Black-box Optimization Via Expanded Exploration in the Energy-based Latent Space, by Peiyu Yu and Dinghuai Zhang and Hengzhi He and Xiaojian Ma and Ruiyao Miao and Yifan Lu and Yasi Zhang and Deqian Kong and Ruiqi Gao and Jianwen Xie and Guang Cheng and Ying Nian Wu
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Spaceby Peiyu Yu,…
Summary of Transport Of Algebraic Structure to Latent Embeddings, by Samuel Pfrommer et al.
Transport of Algebraic Structure to Latent Embeddingsby Samuel Pfrommer, Brendon G. Anderson, Somayeh SojoudiFirst submitted…
Summary of Noisy Data Meets Privacy: Training Local Models with Post-processed Remote Queries, by Kexin Li et al.
Noisy Data Meets Privacy: Training Local Models with Post-Processed Remote Queriesby Kexin Li, Aastha Mehta,…
Summary of From Orthogonality to Dependency: Learning Disentangled Representation For Multi-modal Time-series Sensing Signals, by Ruichu Cai et al.
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signalsby Ruichu Cai, Zhifang…