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        Machine Learning

        Authors and titles for recent submissions

          * Mon, 10 Aug 2026
          * Fri, 7 Aug 2026
          * Thu, 6 Aug 2026
          * Wed, 5 Aug 2026
          * Tue, 4 Aug 2026

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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
          Showing up to 50 entries per page: fewer | more | all
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