Papers

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machine learning Oct 01 Looped Diffusion Transformer by Yong Xien Chng, Tianyi Chen, Wenwen Tong, Haiwen Diao, Zhongang Cai, Lei Yang, Ziwei Liu, Lewei Lu, Dahua Lin, Gao Huang machine learning Sep 30 Cropland PAtteRNS: Parallel Dimensional Attention Networks and Attention to Dataset Disparity for Crop Segmentation in Satellite Imagery Time Series Data by Joseph Metcalfe, Sara Sharifzadeh, Fabio Caraffini ai Sep 30 A Spectral Theory of Distortion in LLM Graph Reconstruction: Sharp Bounds and Empirical Characterization by Jianru Shen ai Sep 30 Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering by Jaewoo Jung, Hyeonseo Yu, Honggyu An, Jisang Han, Mungyeom Kim, Minkyeong Jeon, Heeseong Shin, Wonjun Moon, Federico Tombari, Daniel Barath, Marc Pollefeys, Seungryong Kim, Sunghwan Hong machine learning Sep 30 Breakdown of Local Denoising as Semantic Speciation by Guangkuo Liu, Mert Okyay, Yifan F. Zhang, Fangjun Hu, Rahul Nandkishore, Xun Gao machine learning Sep 30 LeapQuant: Efficient Linear Attention with Accurate Recurrent State Quantization by Yi Pan, Haocheng Xi, Kan Zhu, Xingyang Li, Yibo Wu, Mayank Mishra, Hongtao Zhang, William X.Zheng, Baris Kasikci, Song Han, Kurt Keutzer, Rishabh Iyer, Ion Stoica machine learning Sep 30 Pretraining Latent Information Feedback Transformers with Teacher Supervision by Dor Tirosh, Ido Amos, Mor Geva ai Sep 30 Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning by Paras Dahal, Anton Bakhtin, Taco Cohen, Zhengxing Chen, Carole-Jean Wu, Rob Fergus, Scott Yih, Gabriel Synnaeve, Ruslan Salakhutdinov, Sanjeev Arora, Jason Weston, Anirudh Goyal ai Sep 30 Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI by Cheng Qian, Kunlun Zhu, Beibin Li, Zhenhailong Wang, Heng Ji machine learning Sep 30 Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE by Yu Xu, Yuxin Zhang, Xiao Yang, Haotian Yang, Yizhi Wang, Xinwei Huang, Minxuan Lin, Angtian Wang, Chongyang Ma, Fan Tang