004.85 — Обучение

Deep learning neural machine translation conversational agent Abhishek Vaid · 2024

On Local Population-Risk Certificates Mingzhi Song · 2026

Explaining Attention with Program Synthesis Amiri Hayes, Belinda Li, Jacob Andreas · 2026

The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning V. Samuel Pérez-Díaz, Vinay L. Kashyap, Joshua D. Ingram, David Fouhey, Juan Rafael Martínez-Galarza, Pavlos Protopapas, Jeremy J. Drake, Dong-Woo Kim, Cecilia Garraffo · 2026

Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States Denis Peskoff, Joe Barrow, Christopher Vu, Diag Davenport · 2026

Filtered Conformal Ellipsoids for Graph-Native Time Series Yannick Limmer · 2026

Learning the Geometry of Data: A Mathematical Review of Shape Space Analysis Gary P. T. Choi, Khanh Dao Duc, Shira Faigenbaum-Golovin, Karen Habermann, Emmanuel Hartman, Christoph von Tycowicz, Chi Zhang, Wenjun Zhao, Felix Zhou · 2026

Mixed-Categorical Black-Box Optimization via Information-Geometric Bilevel Decomposition Marc Ong, Shinichi Shirakawa, Youhei Akimoto · 2026

Toward Simultaneously Optimal Regret in U-Calibration Rafael Frongillo, Haipeng Luo, Nishant A. Mehta, Jon Schneider · 2026

When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning? Xuanfei Ren, Tengyang Xie · 2026

An Optimization Framework for Automated Assessment of Biological Plausibility of Spiking Neurons Sven Nitzsche, Alexandru Ionita, Andreas Faust, Bogdan Ionescu, Juergen Becker · 2026

Attention as Frustrated Synchronization Joshua Nunley · 2026

Combinatorial Landscape Analysis for Dominating Set and Vertex Coloring Johanna Gasse, Antonia Heinen, Felix Knöfel, Timo Kötzing, Maxim Stanko · 2026

Representational Similarity and Model Behavior in Multi-Agent Interaction Yujin Potter, Seun Eisape, Shiyang Lai, Alexander Huth, James Evans, Been Kim, Jacob Eisenstein, Dawn Song, Alane Suhr · 2026

Simple Machine Learning Algorithms Taeho Jo · 2020

ZIVARI-TLBO: A Zero-Cost Inter-Group Evaluated-Elite Relay Mechanism for Teaching-Learning-Based Optimization Pezhman Zivari · 2026

Test-Time Adaptation of Spiking Neural Networks for Intracortical Neural Decoding using Membrane Potential Alignment Guangzhi Tang · 2026

Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks Mo Shakiba, Rana Rokni, Mohammad Mohammadi, Nima Dehghani · 2026

Directing Open-Ended Evolution in Artificial Life via Multi-Scale Path Divergence Mikhail Akhtyrchenko, Mikhail I. Katsnelson, Andrey Ustyuzhanin · 2026

Evaluation of functional training effectiveness based on deep learning Chen Fei, Dong Hao · 2025

Learning Syntactic Structure with Deep Neural Networks Shalom Lappin · 2021

Adaptive Speech-to-Spike Encoding for Spiking Neural Networks Taharim Rahman Anon, Jakaria Islam Emon · 2026

JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling Daochen Zha, Chun How Tan, Xin Liu, Bin Xu, Han Zhao, Xiaowei Liu, Tracy Yu, Hui Gao, Huiji Gao, Liwei He, Stephanie Moyerman, Sanjeev Katariya · 2026

Wasserstein Policy Learning for Distributional Outcomes Yiyan Huang, Cheuk Hang Leung, Qi Wu, Zhiheng Zhang · 2026

Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation Sihan Wang, Xiyao Liu, Lianqing Liu, Zhi Han · 2026

Generalised Eigenvalue Geometry of Semantic Adversarial Attacks Martin Anthony, Kaveh Salehzadeh Nobari · 2026

Machine Unlearning for the XGBoost Model with Network Intrusion Datasets Diana Magalhães, Eva Maia, João Vitorino, Isabel Praça · 2026

Mechanism-Guided Selective Unlearning for RLVR-Induced Reasoning Chenyu Zhou, Qiliang Jiang, Shuning Wu, Xu Zhou · 2026

A Human-in-the-Loop Bayesian Optimization Framework for Constraint-Aware Bioprocess Development Samuel Stricker, Claus Wirnsperger, Alessandro Butté, Laura Helleckes, Gonzalo Guillén Gosálbez, Antonio del Rio Chanona, Mehmet Mercangöz · 2026

Zero-Shot Active Feature Acquisition via LLM-Elicitation Binyamin Perets, Natalie Mendelson, Shiran Vainberg, Yehuda Chowers, Shai Shen-Orr, Shie Mannor · 2026

Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization Lanqing Li, Shentong Mo, Yang Yu, Pheng-Ann Heng · 2026

Online Reward-Punishment Learning from Fixed-Channel Perceptual Event Streams without Environment Rewards Zirong Li · 2026

EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts Minseo Kim, Minjae Lee, Seunghyuk Oh, Kevin Galim, Donghoon Kim, Coleman Hooper, Harman Singh, Amir Gholami, Hyung Il Koo, Wonjun Kang · 2026

Boosted Supervised Intensional Learning Supported by Unsupervised Learning A. C. M. Fong, G. Hong · 2021

One-Step Generalization Ratio Guided Optimization for Domain Generalization Sumin Cho, Dongwon Kim, Kwangsu Kim · 2026

Scalable and Interpretable Representation Alignment with Ordinal Similarity Diogo Soares, Pankhil Gawade, Andrea Dittadi, Ewa Szczurek · 2026

Neural Bayesian Anomaly Mitigation: A Robust Loss that Doubles as an Unsupervised Contamination Classifier S. A. K. Leeney, W. J. Handley, H. T. J. Bevins, E. de Lera Acedo · 2026

Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus · 2026

Monotonic Kolmogorov-Arnold Networks: A Theoretical and Empirical Study of Monotonicity as an Inductive Bias Mikhail Krasnov, Carolina Fortuna, Blaž Bertalanič · 2026

Dimensionality Controls When Modularity Helps in Continual Learning Kathrin Korte, Christian Medeiros Adriano, Joachim Winther Pedersen, Eleni Nisioti, Sebastian Risi · 2026

KANLib -- An Modular, Extensible and Fast Kolmogorov-Arnold Network Implementation Julian Hoever, Gregor Schiele · 2026

Predictive Analytics in E-Commerce for CustomerBehavior Forecasting using hybrid Ret-DNN withXGBoost Model Degala Pushpa Sri, Mayank Atreya, Lakshmi. H, Navin Chhibber, Mukesh Soni · 2026

Handling Feature Heterogeneity with Learnable Graph Patches Yifei Sun, Yang Yang, Xiao Feng, Zijun Wang, Haoyang Zhong, Chunping Wang, Lei Chen · 2026

ASTEROID: A Spatiotemporal Information Transformer for Forecasting Multi-Step Time Series of Molecular Dynamics Kexin Wu, Luonan Chen, Renxiao Wang · 2026

EnvRL: Learn from Environment Dynamics in Agentic Reinforcement Learning Zhitong Wang, Songze Li, Hao Peng, Shuzheng Si, Yi Wang, Maosong Sun, Juanzi Li · 2026

Geometrical fairness in graph neural networks Arturo Pérez-Peralta, Sandra Benítez-Peña, Blas Kolic, Rosa E. Lillo · 2026

Conformal Candidate Certification for Offline Model-Based Optimization Seungjin Choi · 2026

Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang · 2026

LLMs on Tabular Data with Limited Semantics: Evidence from Industrial Car Retrofit Prediction Aina Vila Pons, Ioannis Tzachristas, Constantinos Antoniou · 2026

Impedance MPC with Patient-Torque Estimation for Knee Rehabilitation Exoskeletons Yongyan Cao, Jinshan Tang · 2026

Neural dynamical systems on ferroelectric compute-in-memory for real-time forecasting Keshava Katti, Adithya Selvakumar, Pratik Chaudhari, Deep Jariwala · 2026

Dynestyx: A Probabilistic Programming Library for Dynamical Systems Daniel Waxman, Dmitry Batenkov, John Feser, Andy Zane, Eli Bingham, Youssef Marzouk, Matthew E. Levine · 2026

Agent trajectories as programs: fingerprinting and programming coding-agent behavior Hamidah Oderinwale · 2026

Analytic Torsion and Spectral Gap Capture Persistent-Laplacian Performance Jernej Grlj, Aaron D. Lauda · 2026

Unsupervised and Supervised Approaches for Breast Cancer Subtype Classification: Hierarchical Clustering and Machine Learning with Hyperparameter Optimization Ana Beatriz Miranda Valentin, Glaucia Maria Bressan, Elisângela Lizzi · 2025

Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs Tianhao Wu, Matthew Zurek, Weina Wang, Qiaomin Xie · 2026

Temperature transferable Machine Learned Coarse Grained model for proteins Jacopo Venturin, Cecilia Clementi · 2026

Beyond Defensive Reporting: Machine Learning for Active Anti-Money Laundering Control in Insurance Dara Goldar, Geir Kjetil Ferkingstad Sandve, Martin Jullum · 2026

Multimodal Evaluator Preference Collapse: Cross-Modal Contagion in Self-Evolving Agents Zewen Liu · 2026

Conformal calibration and look-elsewhere effect in anomaly detection for new-physics searches Jack Y. Araz, Michael Spannowsky · 2026

Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization Naïl B. Khelifa, Richard E. Turner, Ramji Venkataramanan · 2026

A Stationarity-and-Coupling Criterion for Training-Free Time-Lagged Spectral Embeddings of Multivariate Time Series Siddharth Pal, Viktoria Rojkova · 2026

The Whale That Outswam Evolution: Swarm Intelligence Maximises Memory in Connectome Reservoirs Anmol Guragain, Savvas Kakalis, Juan Ignacio Godino-Llorente · 2026

Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias Annie Ulichney, Amanda Coston · 2026

Free Heavy-Tailed Lunch for Muon: A Theoretical Justification of Empirical Success Florian Hübler, Thomas Pethick, Suvrit Sra · 2026

Optimal Hidden-Target Learning for Online Inventory Optimization on General Convex Sets Anthony Pineci, Yunzong Xu · 2026

Co-Evolved Spiking Neural Network Ensembles via Marginal Contribution Fitness Catherine Rodriquez, James Ghawaly · 2026

A Programmer's Guide to Cascaded Adaptive Combiners: Online Learning by Biologically Accurate Models of Multilayer Neuron Networks Martin Nilsson, Denis Kleyko · 2026

Continuous biome representations from Earth observation embeddings Maxwell B. Joseph, Flávia De Souza Mendes, Dieu My T. Nguyen, Camile Sothe, Christopher B. Anderson · 2026

Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records Feiqing Huang, Zongqi Xia, Rong Ma, Tianxi Cai · 2026

Tree-Structured Orthonormal Decomposition of the Aitchison Simplex Daisuke Yamada, Qijun Zhang, Travis Pence, Barbara B. Bendlin, Federico Rey, Vikas Singh · 2026

Where Black-box Drug-Target Interaction Prediction Models Look: Cross-Method Explainability Ali Vefghi, Zahed Rahmati, Mohammad Akbari · 2026

Beyond a Single Explanation of the Adam--SGD Gap Chenxiang Zhang, Rustem Islamov, Enea Monzio Compagnoni, Jun Pang, Aurelien Lucchi, Antonio Orvieto · 2026

Gradient boosting for extremes: sampling theory and application to insurance Stéphane Lhaut, Olivier Lopez · 2026

DIFF-ERO: A Conformance-Aware Loss for Deep Learning in Process Mining Johannes De Smedt, Jari Peeperkorn, Artem Polyvyanyy, Jochen De Weerdt · 2026

MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design Zishang Qiu, Xinan Chen, Rong Qu, Ruibin Bai · 2026

Operator Calculus for Population-Based Optimization: A Mean-Field Convergence Theory Pekka Malo, Lauri Viitasaari, Patrik Nummi, Antti Suominen, Ankur Sinha, Olli Tahvonen · 2026

CARE: Controlling LLM-Generated Policies through Auditable Review of Evidence in Scientific Experimentation Guanyu Liu, Weiyi Kong, Zeyu Wang, Boer Zhang, Baiqing Li, Peiyu Zhang, Tianyu Shi · 2026

Cluster LOCO: Feature Importance For Interpreting Clusters Claire M. He, Genevera I. Allen · 2026

Analog Quantum Asynchronous Event-Based Graph Neural Network Kristian Sotirov, Shaheen Acheche, Antonio A. Gentile, Osvaldo Simeone · 2026

A Spiking Neural Architecture for Coordinating Arm and Locomotor Control Lea Steffen, Kathryn Simone, Graeme Damberger, Travis DeWolf, Hudson Ly, Chris Eliasmith · 2026

Attention by Synchronization in Coupled Oscillator Networks Fabio Pasqualetti, Taosha Guo · 2026

A Complexity Measure for Active Learning in Multi-group Mean Estimation Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub · 2026

A Low-Rank Subspace Analysis of LLM Interventions Angira Sharma, Christian Schroeder de Witt, Philip Torr, Anisoara Calinescu, Jialin Yu · 2026

Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments Mykola Vysotskyi, Runqi Lin, Grzegorz Biziel, Michal Zakrzewski, Sebastian Montagna, Damian Rynczak, Shreyansh Padarha, Kumail Alhamoud, Zihao Fu, William Lugoloobi, Kai Rawal, Hanna Yershova, Xander Davies, Taras Rumezhak, Guohao Li, Fazl Barez, Baoyuan Wu, Arkadiusz Drohomirecki, Yarin Gal, Chris Russell, Christopher Summerfield, Adam Mahdi, Volodymyr Karpiv, Philip Torr, Adel Bibi · 2026

A theoretical model for task routing in mixture-of-expert transformers Yongli Xiang, Vinoth Nandakumar, Yunzhi Yao, Peike Li, Tongliang Liu · 2026

Federated Learning for Feature Generalization with Convex Constraints Dongwon Kim, Donghee Kim, Sung Kuk Shyn, Kwangsu Kim · 2026

Deep Neural Networks in Healthcare Systems Biswajit R Bhowmik, Shrinidhi Anil Varna, Adarsh Kumar, Rahul Kumar · 2022

Epistemic Uncertainty Is Not the Reducible Kind Robin Young · 2026

Computationally tractable robust differentially private mean estimation Kelly Ramsay · 2026

Chapter 6: Deep Neural Networks · 2024

Signed Compression Progress on a Sealed Audit is Goodhart-Resistant Ayush Mittal, Dhruv Gupta · 2026

Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin Luyuan Yang, Shayan Shafaei, Chao Lan · 2026

The $(1 + 1)$-EA in Dynamic Environments Georg Hasebe, Johannes Lengler, Raghu Raman Ravi · 2026

Adaptive-Frequency Resonate-and-Fire Neurons for Spectral Estimation of Streaming Radar Signals Stefano Chiavazza, Sen Yuan, Marc Geilen, Francesco Fioranelli, Federico Corradi · 2026

Symmetry-electronic fingerprints reveal competing magnetic phases in two-dimensional materials Addis Fuhr, Zachary R. Fox, David Parker, Ayana Ghosh · 2026

Majority-of-Three is Optimal Divit Rawal, Nikita Zhivotovskiy · 2026

Valid Inference with Synthetic Data via Task Exchangeability Lezhi Tan, Tijana Zrnic · 2026

Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability Riya Bisht, Dhruv Agarwal · 2026

Operadic consistency: a label-free signal for compositional reasoning failures in LLMs Nathaniel Bottman, Yinhong Liu, Kyle Richardson · 2026

Dense Supervision, Sparse Updates: On the Sparsity and Geometry of On-Policy Distillation Guo Yu, Wenlin Liu, Yulan Hu, Hao-Xuan Ma, Jun-Peng Jiang, Han-Jia Ye · 2026

Understanding Truncated Positional Encodings for Graph Neural Networks James Flora, Mitchell Black, Weng-Keen Wong, Amir Nayyeri · 2026

A Mean-Field Analysis of Multi-Head Self-Attention under Cross-Entropy Training Cheng Huan, Hongfwei Yuan · 2026

Advancing the State-of-the-Art in Empirical Privacy Auditing Nicole Mitchell, Galen Andrew, Arun Ganesh, Brendan McMahan, Peter Kairouz · 2026

Deterministic Denominator Design for Localized Tamed Stochastic-Gradient Langevin Dynamics Yiwei Zhou, Ziheng Chen · 2026

Beyond Static Priors: Dynamic Neural Guidance for Large-Scale Ant Colony Optimization Dat Thanh Tran, Van Khu Vu, Yining Ma · 2026

The Power of Test-Time Training for Approximate Sampling Noah Golowich, Ankur Moitra, Dhruv Rohatgi · 2026

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching Jamie Heredge, Mattia J. Villani, Pranav Deshpande, Akshay Seshadri, Niraj Kumar · 2026

Synthetic Benchmarks Overstate Forward-Forward Scaling: Real-Data Limits of Layer-Local Training Yucheng Chen · 2026

Unbiased Derivative Estimation for Stationary Mean of Parameterized Markov chains Jeffrey Wang, Chang-han Rhee · 2026

Quality-Diversity Search in Sound Generation: Investigating Innovation Engines for Audio Exploration Björn Þór Jónsson, Çağrı Erdem, Stefano Fasciani, Kyrre Glette · 2026

Spiking Neural Network inference on FPGAs with hls4ml Barry M. Dillon · 2026

Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning Tai Nguyen, Phong Le, Carola Doerr, Nguyen Dang · 2026

My Chemical Harness: Evolutionary Molecular Design over Synthetic Pathways with Large Language Model Agents César Ojeda, Darius A. Faroughy, Maryam Karimi, Payam Zarrintaj, Mir Mehdi Seyedebrahimi, Martín Carballo-Pacheco · 2026

A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding Sophia Tang, Yuchen Zhu, Molei Tao, Pranam Chatterjee · 2026

Adjusted Cup-Product Neural Layer Snigdha Chandan Khilar · 2026

Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting Yifan Hu, Hongzhou Chen, Peiyuan Liu, Yiding Liu, Zewei Dong, Jiang-Ming Yang · 2026

Supervised and Unsupervised Learning Bradley C. Love · 2026

WHAR Arena: Benchmarking the State of the Art in Efficient Wearable Human Activity Recognition Maximilian Burzer, Tobias King, Till Riedel, Michael Beigl, Tobias Röddiger · 2026

Understanding helpfulness and harmless tension in reward models Eshaan Tanwar, Pepa Atanasova · 2026

Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization Mariia Onyshchuk, Maksym-Vasyl Tarnavskyi, Marta Sumyk · 2026

LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem Diagnosis Fabrizio Marozzo, Pietro Liò · 2026

Enhanced Low-Density Region Exploration in Classifier-Guided Diffusion Models Through Modified Reverse Diffusion Sampling Jagriti Singh, Shekhar Verma, Muneendra Ojha · 2026

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision Amir Mann, Gal Michael Harari, Merav Keidar, Or Litany · 2026

Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition Benedikt Hilmes, Nick Rossenbach, Ralf Schlüter · 2026

Hölder++: Improving the Quality-Coherence Trade-off in Multimodal VAEs Huyen Vo, María Martínez-García, Isabel Valera · 2026

What Uncertainties Do We Need for Dynamical Systems? Yusuf Sale, Christopher Bülte, Felix Czaja, Joshua Stiller, Eyke Hüllermeier · 2026

Metadata-Aware Multi-Prompt Reasoning for Zero-Shot Accident Understanding Tarandeep Singh, Soumyanetra Pal, Soham Biswas, Nishanth Chandran · 2026

Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence Itay Lavie, Kirsten Fischer, Andrey Lekov, Frederic Van Maele, Zohar Ringel, Moritz Helias · 2026

Itô maps for any-step SDEs Zhengkai Pan, Peter Potaptchik, Wenxi Yao, Michael S. Albergo, Jakiw Pidstrigach · 2026

Quantized Stochastic Primal-Dual Methods for Distributed Optimization under Relaxed Global Geometry Susmit Sarkar, Abhinav Raghuvanshi, Kushal Chakrabarti, Mayank Baranwal · 2026

Generalization in Nonlinear Least Squares via Learned Feature Geometry Ayub Kharel, Ilja Kuzborskij, Patrick Rebeschini, Yasin Abbasi-Yadkori · 2026

Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability Giorgio Giannone, Mustafa Eyceoz, Shabana Baig, Shivchander Sudalairaj, Anna C. Doris, Faez Ahmed, Akash Srivastava, Kai Xu · 2026

sGPO: Trading Inference FLOPs for Training Efficiency in RLVR Shivchander Sudalairaj, Kai Xu, Akash Srivastava, Giorgio Giannone · 2026

Backward Coherence and Hidden-State Stability in Recurrent Neural Networks: A Quasi-Reverse-Martingale Theory Yuan-chin Ivan Chang · 2026

GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs Hengyi Feng, Zeang Sheng, Meiyi Qiang, Meiyi Qiang, Wentao Zhang · 2026

From Persistence to Survival: Hypothesis Testing, Effect Sizes and Vectorisation for Topological Features Juliette Murris, Bernadette Stolz, Karsten Borgwardt · 2026

NARRAS: Edge-Triggered Distributed Inference for CSI-Based Localization in Vehicular IoT Networks Rodrigo Oliver, Ricardo Vazquez Alvarez, Alejandro Lancho, Stefano Rini · 2026

Corpus Augmentation for Sign Language Translation via LLM-Guided Video Stitching Zsolt Robotka, Ádám Rák, Jalal Al-Afandi, András Horváth, György Cserey · 2026

Supervised and Unsupervised Machine Learning to Understanding Reactive-transport Data [Slides] Bulbul Ahmmed · 2020

Comparative Studies of Unsupervised and Supervised Learning Methods based on Multimedia Applications Amitesh singam · 2023

$k$-Nearest Neighbors in Gromov--Wasserstein Space Kaitlyn Hohmeier, Nicolas Fraiman, Caroline Moosmueller · 2026

Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimization Yifan Wang, Lifeng Shen, Shuyin Xia, Yi Wang · 2026

IntElicit: Eliciting and Assessing Contextualized Creativity via Dialogue Policy Optimization Mingjia Li, Jin Wu, Hong Qian, Wenhao Huang, Yiyang Huang, Yiwen Zhang, Chanjin Zheng, Xiangfeng Wang, Aimin Zhou, Jiajun Guo · 2026

Annealed Entropic Allocation for Ranking and Selection Xin Fei, Juergen Branke · 2026

GraphGP: Scalable Gaussian Processes with Vecchia's Approximation Benjamin Dodge, Philipp Frank, Susan E. Clark · 2026

Calibrating Urban Traffic Simulation from Sparse Road Observations via Genetic Optimization Hunter Sawyer, Jesse Roberts, Simon Matei · 2026

Quadratic integrate-and-fire neurons exhibit less fragmented loss landscapes and outperform leaky integrate-and-fire neurons in spike-based gradient descent Carlo Wenig, Raoul-Martin Memmesheimer, Christian Klos · 2026

SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks Claas Beger, Florian Walter, Alois Knoll · 2026

The Standard Interpretable Model: A general theory of interpretable machine learning to deductively design interpretable methods using Lagrangian mechanics Pietro Barbiero, Giovanni De Felice, Mateo Espinosa Zarlenga, Francesco Giannini, Filippo Bonchi, Mateja Jamnik, Giuseppe Marra, Ruggero Noris · 2026

SPEA2$^+$: Improved Density Estimation in SPEA2 with Provable Runtime Guarantees Duc-Cuong Dang, Andre Opris, Dirk Sudholt · 2026

ATLAS: Active Theory Learning for Automated Science Noémi Éltető, Nathaniel D. Daw, Kimberly L. Stachenfeld, Kevin J. Miller · 2026

Rank Collapse, Fixed Points, and the Renormalization Group Structure of MLP Residual Networks Parviz Haggi-Mani, Irina Rish · 2026

A Riemannian Approach to Low-Rank Optimal Transport Pratik Jawanpuria, Bamdev Mishra · 2026

PCA-Enhanced Adaptive NVAR Framework for High-Resolution Sea Surface Temperature Forecasting in the East Sea Sherkhon Azimov, Susana López-Moreno, Eric Dolores-Cuenca, JinYong Choi, Sangil Kim · 2026

nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding Boyang Li, Yulin Wu, Sizhe Xu, Nuoxian Huang, Zhonghang Yuan, Shangyi Guo, Shu Yang, Takahiro Yabe · 2026

Finding Sparse Subnetworks in One Training Cycle via Progressive Magnitude-Based Pruning Romana Qureshi, Hafida Benhidour, Said Kerrache, Nahlah Aljeraisy · 2026

Mathematical perspective on genetic algorithms with optimization guided operators Anna Brandenberger, Ilan Doron-Arad, Elchanan Mossel · 2026

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs Deep Gandhi, Ali Asaria, Tony Salomone · 2026

CCKS: Consensus-based Communication and Knowledge Sharing Jinyuan Zu, Xiaowei Lv, Yongcai Wang, Deying Li, Yunjun Han, Wenping Chen, Fengyi Zhang, Naiqi Wu · 2026

Improving the sharpness in neural network-based parametric post-processing of ensemble forecasts Ágnes Baran, Máté Mihalina · 2026

Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation Bitya Neuhof, Yuval Benjamini · 2026

Quantifying Uncertainty In Wide Two-Layer Neural Networks: On The Law Of The Limiting Fluctuation Process Arnaud Descours, Arnaud Guillin, Geoffrey Lacour, Manon Michel, Boris Nectoux, Paul Stos · 2026

Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies Sichen Wang, Zhipeng Lu · 2026

GRAFT: Gain-Recalibrated Adapters for Transformer-Based Neural Population Activity Modeling Xiangsheng Ge, Yang Xie · 2026

Exploring the Design Space of Reward Backpropagation for Flow Matching Ruoyu Wang, Boye Niu, Xiangxin Zhou, Yushi Huang, Tongliang Liu, Chi Zhang · 2026

Unifying Local Communications and Local Updates for LLM Pretraining Pietro Cagnasso, Eugene Belilovsky, Edouard Oyallon · 2026

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning Zhiyuan Zhou, Andy Peng, Charles Xu, Qiyang Li, Tobias Springenberg, Kevin Frans, Sergey Levine · 2026

The Role of Feedback Alignment in Self-Distillation Semih Kara, Oğuzhan Ersoy · 2026

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents Weixian Xu, Shilong Liu, Mengdi Wang · 2026

A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design Tong Xie, Yuanhao Ban, Yunqi Hong, Sohyun An, Yihang Chen, Cho-Jui Hsieh · 2026

When to Align, When to Predict: A Phase Diagram for Multimodal Learning Ilay Kamai, Hugues Van Assel, Aviv Regev, Hagai B. Perets, Randall Balestriero · 2026

A Bayesian Network Approach for Enhancing Security-Focused Decision Support Systems Carolina Fernández-Martínez, Shuaib Siddiqui, Vanesa Daza · 2026

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Anik Ghosh · 2026

CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting Yosuke Yamaguchi, Issei Suemitsu, Yuki Kajihara, Wenpeng Wei · 2026

Boosting ECG Classification Performance by Pre-training with Synthesized Data Naoki Nonaka, Jun Seita · 2026

Topological Neural Operators Lennart Bastian, Samuel Leventhal, Mustafa Hajij, Tolga Birdal · 2026

Weighted universal approximation of differentiable maps on infinite-dimensional manifolds Philipp Schmocker, Josef Teichmann · 2026

Rethinking the Divergence Regularization in LLM RL Jiarui Yao, Xiangxin Zhou, Penghui Qi, Wee Sun Lee, Liefeng Bo, Tianyu Pang · 2026

An Agency-Transferring Model-Free Policy Enhancement Technique Anton Bolychev, Georgiy Malaniya, Sinan Ibrahim, Pavel Osinenko · 2026

Optimizing Explicit Unit-Distance Lower-Bound Certificates Michael T. M. Emmerich · 2026

PrimeSVT: An Automated Memory-aware Pruning Framework with Prioritized Compression Policy for Spiking Vision Transformers Rachmad Vidya Wicaksana Putra, Achyuta Muthuvelan, Alberto Marchisio, Muhammad Shafique · 2026

Zero-Copy Semantic Contagion: An In-Memory Streaming Architecture for Evolving Attention Graphs Kabir Murjani · 2026

TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection Van Le, Trevor Tran, Tan Le · 2026

Causal Longitudinal Prior-Fitted Networks for Counterfactual Outcome Prediction Amirhossein Zare, Amirhessam Zare, Herlock Rahimi, Reza Salarikia, Mohammad Kashkooli · 2026

Finding Most Influential Sets Lucas D. Konrad, Nikolas Kuschnig · 2026

A Data-Free Symbolic Regression Approach for Solving Equations Sergei Garmaev, Vinay Sharma, Olga Fink · 2026

LLM-Guided Evolution for Medical Decision Pipelines Ivan Sviridov, Artem Oskin, Ivan Panin, Iaroslav Bespalov, Dmitry Dylov, Ivan Oseledets, Aleksandr Nesterov · 2026

Combinatorial Landscape Analysis for Dominating Set and Vertex Coloring Johanna Gasse, Antonia Heinen, Felix Knöfel, Timo Kötzing, Maxim Stanko · 2026

Sparsely gated tiny linear experts Simon Schug · 2026

Short-Term Synaptic Plasticity Stabilizes Goal-Conditioned Dynamics in a PFC-Inspired Reservoir Model for Multistep Goal-Directed Action Planning Jin Nakamura, Yuichi Katori · 2026

Training a Predictive Coding Network on ImageNet using Equilibrium Propagation Tugdual Kerjan, Rasmus Høier, Benjamin Scellier · 2026

Second-Order Path Kernel Interpolation Formulas in Machine Learning Jin Guo, Roy Y. He, Jean-Michel Morel · 2026

Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization Ming Sun, Kun Yuan · 2026

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AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning Yogesh Malhotra · 2018

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Sampling Technique for Complex Data A. Idarrou, H. Douzi · 2019

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Conclusion Hitoshi Iba · 2018

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Deep Learning Convolutional Neural Networks with Dropout - A Parallel Approach Jingyi Shen, M. Omair Shafiq · 2018

Semi‐Supervised Classification Using Pattern Clustering · 2013

An Introduction to Machine Learning & Deep Neutral Networks · 2020

Cyclic models and recurrent neural networks Thomas P. Trappenberg · 2019

Deep Reinforcement Learning Charu Aggarwal · 2023

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Natural Computing for Unsupervised Learning · 2019

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Document Classification with Unsupervised Nonnegative Matrix Factorization and Supervised Percetron Learning Paresh Chandra Barman, Soo-Young Lee · 2007

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Semi‐Supervised Classification Using Prior Word Clustering · 2013

Machine Learning, Deep Learning and Neural Networks Evan Shellshear, Michael Tremeer, Cameron Bean · 2022

Machine Learning Foundations Taeho Jo · 2021

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Machine Learning with Shallow Neural Networks Charu Aggarwal · 2023

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Evolutionary Approach to Machine Learning and Deep Neural Networks Hitoshi Iba · 2018

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Distribution-Free Uncertainty Quantification for Continuous AI Agent Evaluation Yuxuan Gao, Megan Wang, Yi Ling Yu · 2026

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Structure-Preserving Reconstruction of Convex Lipschitz Functionals on Hilbert Spaces from Finite Samples Anastasis Kratsios · 2026

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DeepX: Deep Learning Accelerator for Restricted Boltzmann Machine Artificial Neural Networks Lok-Won Kim · 2018

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Introduction to Machine Learning Arvind Kumar Tiwari · 2020

Neural Networks for Medical Image Computing V.A. Pravina, P.K. Poonguzhali, A Kishore Kumar · 2022

Learning Internal Dense But External Sparse Structures of Deep Convolutional Neural Network Yiqun Duan, Chen Feng · 2019

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Controlling False Discovery in Arbitrarily Structured Hypothesis Spaces via Reproducing Kernels Binyamin Perets, Shie Mannor · 2026

Training Infinitely Deep and Wide Transformers Raphaël Barboni, Maarten V. de Hoop, Takashi Furuya, Gabriel Peyré · 2026

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Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning Arnab Auddy, Xiangni Peng, Subhadeep Paul · 2026

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Neural networks and Keras Thomas P. Trappenberg · 2019

Learning Deep Neural Networks for High Dimensional Output Problems Benjamin Labbé, Romain Hérault, Clément Chatelain · 2009

A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray images using Convolutional Neural Networks · 2022

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When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State Peiying Zhu, Sidi Chang · 2026

SURGE: Approximation-free Training Free Particle Filter for Diffusion Surrogate Lifu Wei, Yinuo Ren, Naichen Shi, Yiping Lu · 2026

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GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution Jeannie M. Fitzgerald, R. Mohammed Atif Azad, Conor Ryan · 2015

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Hyperspectral Analysis of Apricot Quality Parameters Using Classical Machine Learning and Deep Neural Networks Martin Dejanov · 2025

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FRESH: Information-Geometric Calibration of Patient-Level Models to Aggregate Evidence Franklin Fuller, Daniele Bertolini, Samantha Liang, Jason Christopher, Aaron M. Smith · 2026

LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search Temoor Tanveer · 2026

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Classification of lidar measurements using supervised and unsupervised machine learning methods Ghazal Farhani, Robert J. Sica, Mark Joseph Daley · 2021

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