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Total of 999 entries : 1-50 51-100 101-150 151-200 ... 951-999
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Mon, 10 Aug 2026 (showing first 50 of 144 entries )

[1] arXiv:2608.07430 [pdf, html, other]
Title: Diffusion LLMs as Targets and Adversaries: Mechanistic Safety Exploits
Elena Dumitrescu, Gert Lek, Lydia Y. Chen, Jérémie Decouchant
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[2] arXiv:2608.07420 [pdf, html, other]
Title: Beyond Myopic World Models: Long-Horizon End-to-End Training for Direct Future Prediction
Xinyi Li, Zaishuo Xia, Chenjie Hao, Yubei Chen
Subjects: Machine Learning (cs.LG)
[3] arXiv:2608.07419 [pdf, html, other]
Title: Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration
Ruochen Jin, Zhanliang Wang, Zongyu Dai, Jiancong Xiao, Bojian Hou
Comments: Third Conference on Language Modeling (COLM 2026)
Subjects: Machine Learning (cs.LG)
[4] arXiv:2608.07393 [pdf, html, other]
Title: FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity
Deepank Girish, Yi Hao Chan, Yubin Zheng, Sukrit Gupta, Jagath C. Rajapakse
Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Neurons and Cognition (q-bio.NC)
[5] arXiv:2608.07385 [pdf, html, other]
Title: Omni-modal decomposition autoencoders learn full-stack wearable disentangled representations
Ioannis Ziogas, Ensieh Khazaei, Bilal Taha, Aamna Al Shehhi, Ahsan H. Khandoker, Leontios J. Hadjileontiadis, Dimitrios Hatzinakos
Comments: 15 pages, 7 figures, 7 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Audio and Speech Processing (eess.AS); Signal Processing (eess.SP); Machine Learning (stat.ML)
[6] arXiv:2608.07371 [pdf, html, other]
Title: Trajectory-Relative Hindsight Distillation for Agentic Reinforcement Learning
Haoyu Zheng, Yun Zhu, Qing Wang, Wenqiao Zhang
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
[7] arXiv:2608.07349 [pdf, html, other]
Title: Residual Algebra for Representation-Preserving Learning
Yao Wu
Comments: 19 pages, 5 figures
Subjects: Machine Learning (cs.LG)
[8] arXiv:2608.07335 [pdf, html, other]
Title: Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks
Taha Shieenavaz, Shabnam Zareshahraki, Loris Nanni
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[9] arXiv:2608.07333 [pdf, html, other]
Title: When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series
Chen Shao, Yue Wang, Zhenyi Zhu, Zhanbo Huang, Tobias Käfer, Zonghan Wu, Danai Koutra
Comments: 6 figures, 3 tables, 16 pages
Journal-ref: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2026
Subjects: Machine Learning (cs.LG)
[10] arXiv:2608.07323 [pdf, html, other]
Title: Is SwiGLU's Open Positive Tail Necessary? Evidence from Closed-Tail Gating with MemGLU
Yuting Ge, Pengju Yang, Mingkai Nie
Subjects: Machine Learning (cs.LG)
[11] arXiv:2608.07301 [pdf, html, other]
Title: From Optimal Actions to World Models: Identifiability of Transition Kernels in Discounted MDPs
Neal Batra
Comments: 15 pages, 1 figure
Subjects: Machine Learning (cs.LG)
[12] arXiv:2608.07294 [pdf, html, other]
Title: FUSE: Feature-Wise Unified Specialization with Cross-Column Exchange for Mixed-Type Tabular Flow Matching
Suman Cha, Seongchan Lee, Dohyun Ko, Hyunjoong Kim
Comments: 19 pages, 7 figures, 7 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[13] arXiv:2608.07287 [pdf, html, other]
Title: A foundation-model approach to pediatric headache classification from rs-fMRI
Guilherme S. Imai Aldeia, Clara Moon, Julie Shulman, Navil Sethna, Allison Smith, Alyssa Lebel, William G. La Cava, Scott Holmes
Comments: 22 pages, 6 figures. In Proceedings of Machine Learning Research, Volume 340, 2026 (Machine Learning for Healthcare Conference)
Subjects: Machine Learning (cs.LG)
[14] arXiv:2608.07274 [pdf, html, other]
Title: TOFD: Target-Oriented Feature Decoupling against Poisoning Attacks in Split Federated Learning
Yuhan Xie, Jingrong Huang, Chen Lyu
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[15] arXiv:2608.07228 [pdf, html, other]
Title: Learning Suffers More Than the Policy Class Under Partial Observability: A Closed-Form Analysis
Idil Gözel (University College London)
Comments: 26 pages, 4 figures. Code and data: this https URL
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)
[16] arXiv:2608.07224 [pdf, html, other]
Title: Stochastic Autoregressive Learning
Ilan Doron-Arad, Idan Mehalel, Elchanan Mossel
Subjects: Machine Learning (cs.LG)
[17] arXiv:2608.07193 [pdf, html, other]
Title: An AI4AI Framework for Visual Token Pruning
Zhen Liu, Wenli Huang, Wei Song, Yuhan Liu, Zhiqin Yang, Jingwen Fu
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[18] arXiv:2608.07192 [pdf, html, other]
Title: MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor
Beatrice Alessandra Motetti, Tanguy Dugas du Villard, Matteo Risso, Alessio Burrello, Francesco Daghero, Enrico Macii, Massimo Poncino, Marco Castellano, Alfio Basile, Daniele Jahier Pagliari
Comments: Accepted for publication in IEEE Embedded Systems Letters
Subjects: Machine Learning (cs.LG)
[19] arXiv:2608.07183 [pdf, html, other]
Title: Conformal Fusion Under Missing Modalities
Alireza Moayedikia
Subjects: Machine Learning (cs.LG)
[20] arXiv:2608.07180 [pdf, html, other]
Title: Momba: Network Modernization Improves Multi-Objective Reinforcement Learning
Adam Štafa, Santeri Heiskanen, Petr Novotný, Joni Pajarinen
Comments: 21 pages, 10 figures; Accepted to RLC 2026
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[21] arXiv:2608.07161 [pdf, html, other]
Title: Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning
Shentong Mo, Guolin Ke
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE)
[22] arXiv:2608.07158 [pdf, html, other]
Title: Edge Sparsification via Temporal Forman-Ricci Curvature for Dynamic Graph Learning
Poupak Azad, Cuneyt Gurcan Akcora, Kiarash Shamsi
Subjects: Machine Learning (cs.LG)
[23] arXiv:2608.07157 [pdf, other]
Title: Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning
Alireza Moayedikia, Alicia Troncoso Lora
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
[24] arXiv:2608.07155 [pdf, html, other]
Title: Machine Learning-Based Inter-Crystal Scatter Recovery for Ultra-High Resolution PET Imaging
Alexandre Bernier, Roger Lecomte, Jean-Baptiste Michaud
Comments: 19 pages, to b published in Physic in Medecine and Biology
Subjects: Machine Learning (cs.LG); Medical Physics (physics.med-ph)
[25] arXiv:2608.07151 [pdf, html, other]
Title: Interpretable reinforcement learning with decision-tree pruning
Mark Leon Ringer, Michel Tokic
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[26] arXiv:2608.07139 [pdf, html, other]
Title: Online Conformal Prediction Beyond Feedback
Joar Skalse, Edoardo Pona, Osvaldo Simeone, Nicola Paoletti
Subjects: Machine Learning (cs.LG)
[27] arXiv:2608.07110 [pdf, html, other]
Title: Modular TTT: Rethinking Test-Time Training as Composable Modules
Bohao Tang, Zhen Qin, Yuqi Pan, Zheng Li, Pengfei Liu, Ya Zhang
Comments: Code: this https URL
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
[28] arXiv:2608.07106 [pdf, html, other]
Title: Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge
Niclas Meyer, Stefan Reitmann
Subjects: Machine Learning (cs.LG); Robotics (cs.RO)
[29] arXiv:2608.07086 [pdf, html, other]
Title: Beyond Isolation: Unlocking Reinforcement Learning Component Synergy for Sample-Efficient Continuous Control
Qi Zhao, Guozheng Ma, Yilun Kong, Lu Li, Haoyu Wang, Zilin Wang, Tiantian Zhang, Yuxing Wang, Jian Sha, Yongzhe Chang, Xueqian Wang, Dacheng Tao
Comments: 27 pages including appendix, 10 figures, 12 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[30] arXiv:2608.07037 [pdf, html, other]
Title: Accounting Graph Transformer for Short-History Multi-KPI Forecasting in Small Businesses
Shrutendra Harsola, Vignesh Subrahmaniam
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[31] arXiv:2608.07029 [pdf, html, other]
Title: Hyperbolic Graph Embedders for Link Prediction and Topology Reconstruction
Robert Jankowski, Maksim Kitsak, Dorota Celińska-Kopczyńska
Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI); Physics and Society (physics.soc-ph)
[32] arXiv:2608.07001 [pdf, html, other]
Title: Every Cache Entry Earns Its Place: Global Allocation of Resolution and Coverage for KV Cache Compression
Haolin Tian, Yuzhe Liu, Tonghan Wang
Subjects: Machine Learning (cs.LG)
[33] arXiv:2608.06993 [pdf, html, other]
Title: Beyond Foundation Models: Dimension-Aware Neural Architecture Search with Small-Data Representation Models for Cryocooler Lifetime Prediction
Gregor Molan (1), Grafika Jati (1), (4), Francesco Barchi (4), Andrea Acquaviva (4), Aljaž Osterman (3), Martin Molan (2), (1), (4) ((1) Comtrade 360 d.o.o., Letališka cesta 29b, Ljubljana, 1000, Slovenia, (2) Comtrade AI GmbH, Grafenauweg 8, Zug, 6300, Switzerland, (3) LE-Tehnika d.o.o., Šuceva 27, Kranj, 4000, Slovenia, (4) Alma Mater Studiorum - Universita di Bologna, Department of Electrical, Electronic, and Information Engineering (DEI), Viale del Risorgimento 2, Bologna, 40136, Italy)
Comments: 48 pages
Journal-ref: Reliability Engineering and System Safety 277 (2027) 113105
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[34] arXiv:2608.06990 [pdf, html, other]
Title: Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs
Yuning Yu, José Rodríguez-Piñeiro, Xuefeng Yin, Bin Feng
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[35] arXiv:2608.06956 [pdf, html, other]
Title: How Molecular Generative Models Organize Molecular Identity
Raul Ortega-Ochoa, Tejs Vegge, Jens S. Bakander, Luis Mantilla Calderon, Alan Aspuru-Guzik, Tonio Buonassisi
Comments: 22 pages (14 main text + 8 supporting information)
Subjects: Machine Learning (cs.LG); Chemical Physics (physics.chem-ph)
[36] arXiv:2608.06951 [pdf, html, other]
Title: A Rate Separation for Agnostic Direct Sums
Mihir More, Aritra Das, Debayan Gupta
Subjects: Machine Learning (cs.LG)
[37] arXiv:2608.06942 [pdf, html, other]
Title: ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink
Woojin Cho, Junghwan Park, Sangcheol Sim, Steve Andreas Immanuel, Junhyuk Heo, Darongsae Kwon
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[38] arXiv:2608.06934 [pdf, html, other]
Title: Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning
Moloud Damandeh, Meead Saberi
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[39] arXiv:2608.06916 [pdf, html, other]
Title: MiCoPro: End-to-End Mixed Precision HW/SW Co-design with HW-aware Proxy Model
Zijun Jiang, Yangdi Lyu
Comments: 14 pages, 9 figures, under review
Subjects: Machine Learning (cs.LG)
[40] arXiv:2608.06896 [pdf, html, other]
Title: Recent advances in weakly supervised learning: New supervision paradigms, assumption relaxations, and practical solutions
Wei Wang, Gang Niu, Masashi Sugiyama
Comments: Preprint of an invited review article. In Neural Networks, Handbook of Statistics, vol. 55, pp. 289-320, Elsevier, 2026
Subjects: Machine Learning (cs.LG)
[41] arXiv:2608.06893 [pdf, html, other]
Title: PRISM: Principled Reference Identification for Schrodinger Bridge Model
Forouzan Fallah, Yezhou Yang
Subjects: Machine Learning (cs.LG)
[42] arXiv:2608.06880 [pdf, html, other]
Title: SkillAligner: Treating Retrieved Skills as Adaptable Drafts at Execution Time
Qinfeng Li, Dalin He, Yuntai Bao, Ying Yang, Ruoxi Chen, Xinyan Yu, Lizhou Liang, Ge Su, Wenqi Zhang, Xuhong Zhang
Comments: 21 pages, 5 figures
Subjects: Machine Learning (cs.LG)
[43] arXiv:2608.06860 [pdf, html, other]
Title: Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method
Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin, Xiaofan Yu, Tajana Rosing
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[44] arXiv:2608.06839 [pdf, other]
Title: Mathematical Principles and Experimental Discoveries of the Emergence of Symbolic Patterns in Artificial Neural Networks
Quanshi Zhang, Qihan Ren, Siyu Lou
Subjects: Machine Learning (cs.LG)
[45] arXiv:2608.06834 [pdf, html, other]
Title: Graph Machine: Exploring Edge Mechanisms as an Inductive Bias
Lintai Hou
Subjects: Machine Learning (cs.LG)
[46] arXiv:2608.06825 [pdf, html, other]
Title: Multiscale Reward Hedging from Correct Demonstrations
Pahan Dewasurendra
Subjects: Machine Learning (cs.LG)
[47] arXiv:2608.06809 [pdf, html, other]
Title: Understanding Differentiable Embeddings Through Differential and Integral Geometry
Xinyu Zhang, Klaus Mueller
Comments: 19 pages in total, 12 for the main and 7 for the appendices. 9 figures in the main and 7 in the appendices
Subjects: Machine Learning (cs.LG)
[48] arXiv:2608.06776 [pdf, html, other]
Title: Faster Query-Key Learning Sharpens Attention in Self-Attention Models
Rahul Vashisht, Harish G. Ramaswamy
Comments: Accepted to the 43rd International Conference on Machine Learning (ICML 2026)
Subjects: Machine Learning (cs.LG)
[49] arXiv:2608.06772 [pdf, html, other]
Title: ArchEGraph: A Large-Scale Graph Dataset for Geometry-Topology-Physics Aligned Building Energy Modeling
Yihui Li, Yihui Chen, Kaidi Zha, Xiaoyue Yan, Zhexuan Yu, Shiqi Dai, Jun Xiao, Jun Yin, Ramon Elias Weber, Borong Lin
Comments: 26 pages, 13 figures, submitted to a conference
Subjects: Machine Learning (cs.LG)
[50] arXiv:2608.06766 [pdf, html, other]
Title: Hidden Gauge Controls Feature Specialization in ReLU Networks
Tongxi Wang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
Total of 999 entries : 1-50 51-100 101-150 151-200 ... 951-999
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