001 Ptolemy's Equant Equates to a Universal Dynamical Clock via Machine Learning arXiv Paper Jingdong Zhang, Luan Yang et al. Jul 16 002 Self-Healing Coordination in Cognitive Swarm Agents with Bloch-Type Perceptual Memory arXiv Paper Jyotiranjan Beuria Jul 12 003 Electronic Bursting Neuron: design, equations and hardware implementation arXiv Paper Lev V. Takaishvili et al. Jul 2 004 Identifiability Limits of Physics-Informed Inference for Spatial Stochastic Dynamics from Static Snapshots arXiv Paper Rujie Gu et al. Jul 2 005 Extended pseudo-spectral physics-informed neural networks for phase-field models arXiv Paper Callum Marsh, Radek Erban et al. Jun 23 006 Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries arXiv Paper Jannik Drotleff, S. Tovey et al. Jun 23 007 Latent space mapping of interpretable structural coordinates from stochastic single-molecule signals arXiv Paper M. Cartiglia, Sandro Kuppel et al. Jun 15 008 Temperature transferable Machine Learned Coarse Grained model for proteins arXiv Paper Jacopo Venturin et al. Jun 12 009 POPSICLE: Benchmark Datasets for Segmentation and Localization in CryoET arXiv Paper Jonathan Schwartz, U. Ermel et al. Jun 8 010 Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events arXiv Paper Rishal Aggarwal, D. Koes et al. Jun 4 011 Evidence-Guided Neural Architecture Selection under Uncertainty for Subject-Specific Blood Glucose Forecasting arXiv Paper Md Azharul Islam, Dwyer Deighan et al. Jun 3 012 Topological texture analysis of microscopy images of dynamic casein gelation and its relation to rheological properties arXiv Paper Zahra Tabatabaei, Diana Soto Aguilar et al. Jun 1 013 AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translation arXiv Paper D.-M. Mei, K. Acharya et al. May 20 014 Clock-state olfactory search in turbulent flows using Q-learning: The geometry of plume recovery arXiv Paper Marco Rando, R. Heinonen et al. May 15 015 Thermodynamic Networks: Harnessing Non-Equilibrium Steady States for Computation arXiv Paper Patryk Lipka-Bartosik et al. May 15 016 Exact Fixed-Point Constraints in Neural-ODEs with Provable Universality arXiv Paper Feliciano Giuseppe Pacifico, Duccio Fanelli et al. May 11 017 Continuous quantification of viral plaque dynamics using ultra-large-area label-free imaging enables rapid antiviral susceptibility testing arXiv Paper Merve Eryilmaz et al. May 3 018 Learning biophysical models of gene regulation with probability flow matching arXiv Paper S. Maddu, Victor Chardès et al. Apr 27 019 Impact of leaky dynamics on predictive path integration accuracy in recurrent neural networks arXiv Paper Yanlin Zhang, Yan Zhang et al. Apr 17 020 Unraveling the Mechanism of Drug Binding to SARS-CoV-2 RNA Pseudoknot with Thermodynamics-Driven Machine Learning arXiv Paper Mariia V. Ivonina, Jakub Rydzewski Apr 16 021 VertAX: a differentiable vertex model for learning epithelial tissue mechanics arXiv Paper A. Pasqui, Jim Martin Catacora Ocana et al. Apr 8 022 Gradient estimators for parameter inference in discrete stochastic kinetic models arXiv Paper Ludwig Burger, A. Kofler et al. Apr 2 023 When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs arXiv Paper Hidenori Tanaka Mar 25 024 When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells arXiv Paper Qiaorong S. Yu, Zhaoze Wang et al. Mar 22 025 Stochastic Resetting Accelerates Reinforcement Learning Beyond Random Search arXiv Paper Jello Zhou, Wave Ngampruetikorn et al. Mar 17 026 A Variational Latent Equilibrium for Learning in Neuronal Circuits arXiv Paper Simon Brandt, Paul Haider et al. Mar 10 027 Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models arXiv Paper Yu Xie, Ludwig Winkler et al. Feb 18 028 UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems arXiv Paper Lin Huang, Arthur Jiang et al. Feb 13 029 Protein Language Model Embeddings Improve Generalization of Implicit Transfer Operators arXiv Paper Panagiotis Antoniadis, Beatrice Pavesi et al. Feb 11 030 Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics arXiv Paper Nima Shoghi et al. Feb 2 031 Landing-Induced Viscoelastic Changes in an Anthropomimetic Foot Joint Structure are Modulated by Foot Structure and Posture arXiv Paper Satoru Hashimoto et al. Jan 21 032 One scale to rule them all: interpretable multi-scale Deep Learning for predicting cell survival after proton and carbon ion irradiation arXiv Paper Giulio Bordieri, G. Cartechini et al. Jan 21 033 Searching for Quantum Effects in the Brain: A Bell-Type Test for Nonclassical Latent Representations in Autoencoders arXiv Paper I. Kominis, Can Xie et al. Jan 15 034 Scalable Machine Learning Force Fields for Macromolecular Systems Through Long-Range Aware Message Passing arXiv Paper Chu Wang, Lin Huang et al. Jan 7 035 Multi-Scale Negative Coupled Information Systems (MNCIS): A Unified Spectral Topology Framework for Stability in Turbulence, AI, and Biology arXiv Paper Pengyue Hou Jan 6 036 Large language models and the entropy of English arXiv Paper Colin Scheibner, Lindsay M. Smith et al. Dec 31, 2025 037 Lessons from Neuroscience for AI: How integrating Actions, Compositional Structure and Episodic Memory could enable Safe, Interpretable and Human-Like AI arXiv Paper Rajesh P. N. Rao, V. Sathish et al. Dec 27, 2025 038 Autonomous Uncertainty Quantification for Computational Point-of-care Sensors arXiv Paper Artem Goncharov et al. Dec 24, 2025 039 Deep learning-enhanced dual-mode multiplexed optical sensor for point-of-care diagnostics of cardiovascular diseases arXiv Paper Gyeo-Re Han, Merve Eryilmaz et al. Dec 24, 2025 040 Error Bound Analysis of Physics-Informed Neural Networks-Driven T2 Quantification in Cardiac Magnetic Resonance Imaging arXiv Paper Mengxue Zhang, Qingrui Cai et al. Dec 16, 2025 041 Tracking large chemical reaction networks and rare events by neural networks arXiv Paper Jiayu Weng, Xinyi Zhu et al. Dec 11, 2025 042 Meta-learning three-factor plasticity rules for structured credit assignment with sparse feedback arXiv Paper Dimitra Maoutsa Dec 10, 2025 043 Data-Efficient Learning of Anomalous Diffusion with Wavelet Representations: Enabling Direct Learning from Experimental Trajectories arXiv Paper Gongyi Wang et al. Dec 9, 2025 044 Modular connectivity in neural networks emerges from Poisson noise-motivated regularisation, and promotes robustness and compositional generalisation arXiv Paper Daoyuan Qian, Qiyao Liang et al. Dec 5, 2025 045 Tuning Universality in Deep Neural Networks arXiv Paper Arsham Ghavasieh Nov 28, 2025 046 Many-Eyes and Sentinels in Selfish and Cooperative Groups arXiv Paper Charlie Pilgrim et al. Nov 24, 2025 047 Modeling Bioelectric State Transitions in Glial Cells: An ASAL-Inspired Computational Approach to Glioblastoma Initiation arXiv Paper Wiktoria Agata Pawlak Nov 24, 2025 048 Reconstruction of three-dimensional shapes of normal and disease-related erythrocytes from partial observations using multi-fidelity neural networks arXiv Paper Haizhou Wen, He Li et al. Nov 18, 2025 049 Completion of partial structures using Patterson maps with the CrysFormer machine learning model arXiv Paper Tom Pan, Evan Dramko et al. Nov 13, 2025 050 Fractional neural attention for efficient multiscale sequence processing arXiv Paper Cheng Kevin Qu et al. Nov 13, 2025 051 Thermo-responsive closing and reopening artificial Venus Flytrap utilizing shape memory elastomers arXiv Paper Shun Yoshida et al. Nov 3, 2025 052 AI-driven Large-scale Electron Microscopy enables Whole-tissue Subcellular Digitization arXiv Paper Li Xiao et al. Nov 2, 2025 053 Octopus-like Reaching Motion: A Perspective Inspired by Whipping arXiv Paper Shengyao Zhang et al. Oct 29, 2025 054 Machine learning approaches for interpretable antibody property prediction using structural data arXiv Paper Kevin Michalewicz, Mauricio Barahona et al. Oct 28, 2025 055 Learning noisy tissue dynamics across time scales arXiv Paper Ming Han et al. Oct 21, 2025 056 Protein generation with embedding learning for motif diversification arXiv Paper Kevin Michalewicz et al. Oct 21, 2025 057 A mathematical theory for understanding when abstract representations emerge in neural networks arXiv Paper Bin Wang et al. Oct 10, 2025 058 Statistics of correlations in nonlinear recurrent neural networks arXiv Paper Germán Mato, Facundo Rigatuso et al. Oct 6, 2025 059 Inferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference arXiv Paper Jens Behrmann, M. R. Cervera et al. Oct 2, 2025 060 Toward a Physics of Deep Learning and Brains arXiv Paper Arsham Ghavasieh, Meritxell Vila-Miñana et al. Sep 26, 2025