arXiv cs.LG Machine Learning
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Reposted by arXiv cs.LG Machine Learning
Lee, Jung, Chun, Lee, Cai, Huang, Talreja, Dao, Liang, Huang, Huang: TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos https://arxiv.org/abs/2511.21690 https://arxiv.org/pdf/2511.21690 https://arxiv.org/html/2511.21690
November 27, 2025 at 6:35 AM
Lee, Jung, Chun, Lee, Cai, Huang, Talreja, Dao, Liang, Huang, Huang: TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos https://arxiv.org/abs/2511.21690 https://arxiv.org/pdf/2511.21690 https://arxiv.org/html/2511.21690
Reposted by arXiv cs.LG Machine Learning
Su, Diao, Lu, Liu, Xu, Dong, Fu, Belcak, Ye, Yin, Dong, Bakhturina, Yu, Choi, Kautz, Molchanov: ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration https://arxiv.org/abs/2511.21689 https://arxiv.org/pdf/2511.21689 https://arxiv.org/html/2511.21689
November 27, 2025 at 6:30 AM
Su, Diao, Lu, Liu, Xu, Dong, Fu, Belcak, Ye, Yin, Dong, Bakhturina, Yu, Choi, Kautz, Molchanov: ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration https://arxiv.org/abs/2511.21689 https://arxiv.org/pdf/2511.21689 https://arxiv.org/html/2511.21689
Reposted by arXiv cs.LG Machine Learning
Wang, Li, Ni, Yeh, Emad, Lei, Robbins, Padthe, Xu, Li, Celikyilmaz, Raghavendra, Huang, Wu, Li: Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework https://arxiv.org/abs/2511.21686 https://arxiv.org/pdf/2511.21686 https://arxiv.org/html/2511.21686
November 27, 2025 at 6:30 AM
Wang, Li, Ni, Yeh, Emad, Lei, Robbins, Padthe, Xu, Li, Celikyilmaz, Raghavendra, Huang, Wu, Li: Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework https://arxiv.org/abs/2511.21686 https://arxiv.org/pdf/2511.21686 https://arxiv.org/html/2511.21686
Reposted by arXiv cs.LG Machine Learning
Bo, Zhang, Sun, Wu, Xie, Tan, Chen, He, Li, Zhao, Wang, Li: Agentic Learner with Grow-and-Refine Multimodal Semantic Memory https://arxiv.org/abs/2511.21678 https://arxiv.org/pdf/2511.21678 https://arxiv.org/html/2511.21678
November 27, 2025 at 6:29 AM
Bo, Zhang, Sun, Wu, Xie, Tan, Chen, He, Li, Zhao, Wang, Li: Agentic Learner with Grow-and-Refine Multimodal Semantic Memory https://arxiv.org/abs/2511.21678 https://arxiv.org/pdf/2511.21678 https://arxiv.org/html/2511.21678
Reposted by arXiv cs.LG Machine Learning
Sadegh Shirani, Mohsen Bayati: On Evolution-Based Models for Experimentation Under Interference https://arxiv.org/abs/2511.21675 https://arxiv.org/pdf/2511.21675 https://arxiv.org/html/2511.21675
November 27, 2025 at 6:53 AM
Sadegh Shirani, Mohsen Bayati: On Evolution-Based Models for Experimentation Under Interference https://arxiv.org/abs/2511.21675 https://arxiv.org/pdf/2511.21675 https://arxiv.org/html/2511.21675
Reposted by arXiv cs.LG Machine Learning
Paramonov, Ozay, Mystakidis, Tsalikidis, Sotos, Drosou, Tzovaras, Kim, Chang, Mo, Kim, Yoo, Moon, Michieli: Continual Error Correction on Low-Resource Devices https://arxiv.org/abs/2511.21652 https://arxiv.org/pdf/2511.21652 https://arxiv.org/html/2511.21652
November 27, 2025 at 6:32 AM
Paramonov, Ozay, Mystakidis, Tsalikidis, Sotos, Drosou, Tzovaras, Kim, Chang, Mo, Kim, Yoo, Moon, Michieli: Continual Error Correction on Low-Resource Devices https://arxiv.org/abs/2511.21652 https://arxiv.org/pdf/2511.21652 https://arxiv.org/html/2511.21652
Reposted by arXiv cs.LG Machine Learning
Dongyang Fan, Diba Hashemi, Sai Praneeth Karimireddy, Martin Jaggi: Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining https://arxiv.org/abs/2511.21613 https://arxiv.org/pdf/2511.21613 https://arxiv.org/html/2511.21613
November 27, 2025 at 6:30 AM
Dongyang Fan, Diba Hashemi, Sai Praneeth Karimireddy, Martin Jaggi: Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining https://arxiv.org/abs/2511.21613 https://arxiv.org/pdf/2511.21613 https://arxiv.org/html/2511.21613
Reposted by arXiv cs.LG Machine Learning
Zarin Tahia Hossain, Mostafa Milani: Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation https://arxiv.org/abs/2511.21607 https://arxiv.org/pdf/2511.21607 https://arxiv.org/html/2511.21607
November 27, 2025 at 6:30 AM
Zarin Tahia Hossain, Mostafa Milani: Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation https://arxiv.org/abs/2511.21607 https://arxiv.org/pdf/2511.21607 https://arxiv.org/html/2511.21607
Reposted by arXiv cs.LG Machine Learning
Yizhou Zhao, Xiang Li, Peter Song, Qi Long, Weijie Su: TAB-DRW: A DFT-based Robust Watermark for Generative Tabular Data https://arxiv.org/abs/2511.21600 https://arxiv.org/pdf/2511.21600 https://arxiv.org/html/2511.21600
November 27, 2025 at 6:30 AM
Yizhou Zhao, Xiang Li, Peter Song, Qi Long, Weijie Su: TAB-DRW: A DFT-based Robust Watermark for Generative Tabular Data https://arxiv.org/abs/2511.21600 https://arxiv.org/pdf/2511.21600 https://arxiv.org/html/2511.21600
Reposted by arXiv cs.LG Machine Learning
Thai-Khanh Nguyen, Uyen Vo, Tan M. Nguyen, Thieu N. Vo, Trung-Hieu Le, Cuong Pham: MMA: A Momentum Mamba Architecture for Human Activity Recognition with Inertial Sensors https://arxiv.org/abs/2511.21550 https://arxiv.org/pdf/2511.21550 https://arxiv.org/html/2511.21550
November 27, 2025 at 6:32 AM
Thai-Khanh Nguyen, Uyen Vo, Tan M. Nguyen, Thieu N. Vo, Trung-Hieu Le, Cuong Pham: MMA: A Momentum Mamba Architecture for Human Activity Recognition with Inertial Sensors https://arxiv.org/abs/2511.21550 https://arxiv.org/pdf/2511.21550 https://arxiv.org/html/2511.21550
Reposted by arXiv cs.LG Machine Learning
Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen: Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities (II) https://arxiv.org/abs/2511.21526 https://arxiv.org/pdf/2511.21526 https://arxiv.org/html/2511.21526
November 27, 2025 at 6:53 AM
Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen: Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities (II) https://arxiv.org/abs/2511.21526 https://arxiv.org/pdf/2511.21526 https://arxiv.org/html/2511.21526
Reposted by arXiv cs.LG Machine Learning
Taehoon Kim, Donghwan Jang, Bohyung Han: Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning https://arxiv.org/abs/2511.21490 https://arxiv.org/pdf/2511.21490 https://arxiv.org/html/2511.21490
November 27, 2025 at 6:32 AM
Taehoon Kim, Donghwan Jang, Bohyung Han: Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning https://arxiv.org/abs/2511.21490 https://arxiv.org/pdf/2511.21490 https://arxiv.org/html/2511.21490
Reposted by arXiv cs.LG Machine Learning
Paischer, Cotteleer, Dreze, Kurle, Rubini, Bleeker, Kronlachner, Brandstetter: Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes https://arxiv.org/abs/2511.21474 https://arxiv.org/pdf/2511.21474 https://arxiv.org/html/2511.21474
November 27, 2025 at 6:29 AM
Paischer, Cotteleer, Dreze, Kurle, Rubini, Bleeker, Kronlachner, Brandstetter: Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes https://arxiv.org/abs/2511.21474 https://arxiv.org/pdf/2511.21474 https://arxiv.org/html/2511.21474
Reposted by arXiv cs.LG Machine Learning
O\u{g}uz Ka\u{g}an Hitit, Leander Girrbach, Zeynep Akata: A Systematic Study of Model Merging Techniques in Large Language Models https://arxiv.org/abs/2511.21437 https://arxiv.org/pdf/2511.21437 https://arxiv.org/html/2511.21437
November 27, 2025 at 6:30 AM
O\u{g}uz Ka\u{g}an Hitit, Leander Girrbach, Zeynep Akata: A Systematic Study of Model Merging Techniques in Large Language Models https://arxiv.org/abs/2511.21437 https://arxiv.org/pdf/2511.21437 https://arxiv.org/html/2511.21437
Reposted by arXiv cs.LG Machine Learning
Kaifeng Hong, Yinglong Zhang, Xiaoying Hong, Xuewen Xia, Xing Xu: Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning https://arxiv.org/abs/2511.21416 https://arxiv.org/pdf/2511.21416 https://arxiv.org/html/2511.21416
November 27, 2025 at 6:30 AM
Kaifeng Hong, Yinglong Zhang, Xiaoying Hong, Xuewen Xia, Xing Xu: Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning https://arxiv.org/abs/2511.21416 https://arxiv.org/pdf/2511.21416 https://arxiv.org/html/2511.21416
Reposted by arXiv cs.LG Machine Learning
Jiyun Bae, Hyunjong Ok, Sangwoo Mo, Jaeho Lee: Do Reasoning Vision-Language Models Inversely Scale in Test-Time Compute? A Distractor-centric Empirical Analysis https://arxiv.org/abs/2511.21397 https://arxiv.org/pdf/2511.21397 https://arxiv.org/html/2511.21397
November 27, 2025 at 6:32 AM
Jiyun Bae, Hyunjong Ok, Sangwoo Mo, Jaeho Lee: Do Reasoning Vision-Language Models Inversely Scale in Test-Time Compute? A Distractor-centric Empirical Analysis https://arxiv.org/abs/2511.21397 https://arxiv.org/pdf/2511.21397 https://arxiv.org/html/2511.21397
Reposted by arXiv cs.LG Machine Learning
Xue, Ooi, Ge, Leong, Li, Kang: Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations https://arxiv.org/abs/2511.21369 https://arxiv.org/pdf/2511.21369 https://arxiv.org/html/2511.21369
November 27, 2025 at 6:47 AM
Xue, Ooi, Ge, Leong, Li, Kang: Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations https://arxiv.org/abs/2511.21369 https://arxiv.org/pdf/2511.21369 https://arxiv.org/html/2511.21369
Reposted by arXiv cs.LG Machine Learning
Kazuki Nakajima, Yuya Sasaki, Takeaki Uno, Masaki Aida: Learning Multi-Order Block Structure in Higher-Order Networks https://arxiv.org/abs/2511.21350 https://arxiv.org/pdf/2511.21350 https://arxiv.org/html/2511.21350
November 27, 2025 at 6:35 AM
Kazuki Nakajima, Yuya Sasaki, Takeaki Uno, Masaki Aida: Learning Multi-Order Block Structure in Higher-Order Networks https://arxiv.org/abs/2511.21350 https://arxiv.org/pdf/2511.21350 https://arxiv.org/html/2511.21350
Reposted by arXiv cs.LG Machine Learning
Chin-Hung Chen, Ivana Nikoloska, Wim van Houtum, Yan Wu, Alex Alvarado: Phase-Aware Code-Aided EM Algorithm for Blind Channel Estimation in PSK-Modulated OFDM https://arxiv.org/abs/2511.21340 https://arxiv.org/pdf/2511.21340 https://arxiv.org/html/2511.21340
November 27, 2025 at 6:36 AM
Chin-Hung Chen, Ivana Nikoloska, Wim van Houtum, Yan Wu, Alex Alvarado: Phase-Aware Code-Aided EM Algorithm for Blind Channel Estimation in PSK-Modulated OFDM https://arxiv.org/abs/2511.21340 https://arxiv.org/pdf/2511.21340 https://arxiv.org/html/2511.21340
Reposted by arXiv cs.LG Machine Learning
Xiaohang Yu, William Knottenbelt: On the Periodic Orbits of the Dual Logarithmic Derivative Operator https://arxiv.org/abs/2511.21283 https://arxiv.org/pdf/2511.21283 https://arxiv.org/html/2511.21283
November 27, 2025 at 6:38 AM
Xiaohang Yu, William Knottenbelt: On the Periodic Orbits of the Dual Logarithmic Derivative Operator https://arxiv.org/abs/2511.21283 https://arxiv.org/pdf/2511.21283 https://arxiv.org/html/2511.21283
Reposted by arXiv cs.LG Machine Learning
Sullivan Hu\'e, S\'ebastien Laurent, Ulrich Aiounou, Emmanuel Flachaire: Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso https://arxiv.org/abs/2511.21257 https://arxiv.org/pdf/2511.21257 https://arxiv.org/html/2511.21257
November 27, 2025 at 6:35 AM
Sullivan Hu\'e, S\'ebastien Laurent, Ulrich Aiounou, Emmanuel Flachaire: Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso https://arxiv.org/abs/2511.21257 https://arxiv.org/pdf/2511.21257 https://arxiv.org/html/2511.21257
Reposted by arXiv cs.LG Machine Learning
Martinez, et al.: The Spheres Dataset: Multitrack Orchestral Recordings for Music Source Separation and Information Retrieval https://arxiv.org/abs/2511.21247 https://arxiv.org/pdf/2511.21247 https://arxiv.org/html/2511.21247
November 27, 2025 at 6:36 AM
Martinez, et al.: The Spheres Dataset: Multitrack Orchestral Recordings for Music Source Separation and Information Retrieval https://arxiv.org/abs/2511.21247 https://arxiv.org/pdf/2511.21247 https://arxiv.org/html/2511.21247
Reposted by arXiv cs.LG Machine Learning
Muhammed Yildirim, Ozcan Ozturk: RISC-V Based TinyML Accelerator for Depthwise Separable Convolutions in Edge AI https://arxiv.org/abs/2511.21232 https://arxiv.org/pdf/2511.21232 https://arxiv.org/html/2511.21232
November 27, 2025 at 6:29 AM
Muhammed Yildirim, Ozcan Ozturk: RISC-V Based TinyML Accelerator for Depthwise Separable Convolutions in Edge AI https://arxiv.org/abs/2511.21232 https://arxiv.org/pdf/2511.21232 https://arxiv.org/html/2511.21232
Reposted by arXiv cs.LG Machine Learning
Jasraj Singh, Shelvia Wongso, Jeremie Houssineau, Badr-Eddine Ch\'erief-Abdellatif: Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference https://arxiv.org/abs/2511.21223 https://arxiv.org/pdf/2511.21223 https://arxiv.org/html/2511.21223
November 27, 2025 at 6:53 AM
Jasraj Singh, Shelvia Wongso, Jeremie Houssineau, Badr-Eddine Ch\'erief-Abdellatif: Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference https://arxiv.org/abs/2511.21223 https://arxiv.org/pdf/2511.21223 https://arxiv.org/html/2511.21223
Reposted by arXiv cs.LG Machine Learning
Umang Agarwal, Rudraksh Sangore, Sumit Laddha: From Diffusion to One-Step Generation: A Comparative Study of Flow-Based Models with Application to Image Inpainting https://arxiv.org/abs/2511.21215 https://arxiv.org/pdf/2511.21215 https://arxiv.org/html/2511.21215
November 27, 2025 at 6:31 AM
Umang Agarwal, Rudraksh Sangore, Sumit Laddha: From Diffusion to One-Step Generation: A Comparative Study of Flow-Based Models with Application to Image Inpainting https://arxiv.org/abs/2511.21215 https://arxiv.org/pdf/2511.21215 https://arxiv.org/html/2511.21215