Conditional Image Synthesis with Diffusion Models: A Survey. Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang. Action editor: Robert Legenstein. #denoising #generative #synthesis.

Exploring Weak-to-Strong Generalization for CLIP-based Classification. Jinhao Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu. Action editor: Weijian Deng. #generalization #models #classification.

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning. Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon. Action editor: Han Bao. #augmentation #augmentations #deep.

Forecasting Company Fundamentals. Felix Divo, Eric Endress, Kevin Endler, Kristian Kersting, Devendra Singh Dhami. Action editor: Yan Liu. #forecasting #forecasts #stock.

ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control. Ehsan Futuhi, Shayan Karimi, Chao Gao, Martin Müller. Action editor: Kamil Ciosek. #reinforcement #exploration #reward.

Music Foundation Model as Generic Booster for Music Downstream Tasks. Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya et al. Action editor: Brian Kulis. #music #leveraging #features.

Studying Exploration in RL: An Optimal Transport Analysis of Occupancy Measure Trajectories. Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra. Action editor: Pan Xu. #exploration #paths #sequential.

LASP: Linear Attention Sequence Parallelism. Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong. Action editor: Shuangfei Zhai. #attention #memory #parallel.

MOORL: A Framework for Integrating Offline-Online Reinforcement Learning. Gaurav Chaudhary, Washim Uddin Mondal, Laxmidhar Behera. Action editor: Steffen Udluft. #learns #reinforcement #exploration.

Time-Uniform Confidence Spheres for Means of Random Vectors. Ben Chugg, Hongjian Wang, Aaditya Ramdas. Action editor: Benjamin Guedj. #robbins #estimation #gaussian.

Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling . Davide Carbone. Action editor: Alberto Bietti. #generative #gans #autoencoders.

A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models. Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, Rene Vidal. Action editor: Ali Ramezani-Kebrya. #overparameterized #gradient.

Pruning Feature Extractor Stacking for Cross-domain Few-shot Learning. Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoff Holmes. Action editor: Kevin Swersky. #snapshots #snapshot #extractors.

Uniform Noise Distribution and Compact Clusters: Unveiling the Success of Self-Supervised Learnin. Pengcheng Xu, Li Yi, Gezheng Xu, Xi Chen, Ian McLeod, Charles Ling, Boyu Wang. Action editor: Gang Niu. #supervised #labels #classif.

RefinedFields: Radiance Fields Refinement for Planar Scene Representations. Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi et al. Action editor: Mathieu Salzmann. #scenes #planes #images.

M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Class. Raja Kumar, Raghav Singhal, Pranamya Prashant Kulkarni, Deval Mehta, Kshitij Sharad Jadhav. Action editor: Jiangchao Yao. #multimoda.

Guided Discrete Diffusion for Electronic Health Record Generation. Jun Han, Zixiang Chen, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu. Action editor: Amit Sharma. #generative #gan #data.

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs wi. Zifeng Ding, Yifeng Li, Yuan He et al. Action editor: Mark Coates. #temporal #dynamic #node.

Towards identifiability of micro total effects in summary causal graphs with latent confounding: . Charles K. Assaad. Action editor: Francesco Locatello. #causal #graphs #observational.

Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning. Numair Sani, Daniel Malinsky, Ilya Shpitser. Action editor: Francesco Locatello. #explanations #explainability #causally.