{"total":155,"rows":[{"id":"2405.07200","title":"Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation","created":"2024-05-12","cited_by_count":118,"area":null},{"id":"2403.02241","title":"Neural Redshift: Random Networks are not Random Functions","created":"2024-03-04","cited_by_count":43,"area":null},{"id":"2305.00241","title":"When Deep Learning Meets Polyhedral Theory: A Survey","created":"2023-04-29","cited_by_count":39,"area":null},{"id":"2501.14959","title":"Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning","created":"2025-01-24","cited_by_count":17,"area":null},{"id":"2305.12073","title":"GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance","created":"2023-05-20","cited_by_count":16,"area":null},{"id":"2412.11702","title":"Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads","created":"2024-12-16","cited_by_count":15,"area":null},{"id":"2401.10967","title":"HOSC: A Periodic Activation Function for Preserving Sharp Features in Implicit Neural Representations","created":"2024-01-20","cited_by_count":14,"area":null},{"id":"2503.10065","title":"Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild","created":"2025-03-13","cited_by_count":13,"area":null},{"id":"2306.17486","title":"Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation using Compact Implicit Layers","created":"2023-06-30","cited_by_count":11,"area":null},{"id":"2312.02549","title":"DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding","created":"2023-12-05","cited_by_count":11,"area":null},{"id":"2407.00125","title":"A Survey on Failure Analysis and Fault Injection in AI Systems","created":"2024-06-28","cited_by_count":10,"area":null},{"id":"2309.05259","title":"A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction","created":"2023-09-11","cited_by_count":9,"area":null},{"id":"2411.16503","title":"Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis","created":"2024-11-25","cited_by_count":9,"area":"diffusion"},{"id":"2404.17391","title":"M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training","created":"2024-04-26","cited_by_count":8,"area":null},{"id":"2505.02537","title":"Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations","created":"2025-05-05","cited_by_count":8,"area":null},{"id":"2311.03733","title":"Improved weight initialization for deep and narrow feedforward neural network","created":"2023-11-07","cited_by_count":7,"area":null},{"id":"2408.00636","title":"Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images","created":"2024-08-01","cited_by_count":7,"area":null},{"id":"2408.17198","title":"Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features","created":"2024-08-30","cited_by_count":7,"area":null},{"id":"2306.05812","title":"HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection","created":"2023-06-09","cited_by_count":6,"area":null},{"id":"2407.07564","title":"Trainable Highly-expressive Activation Functions","created":"2024-07-10","cited_by_count":6,"area":null},{"id":"2410.00267","title":"KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA","created":"2024-09-30","cited_by_count":6,"area":null},{"id":"2410.21321","title":"User-Aware Multilingual Abusive Content Detection in Social Media","created":"2024-10-26","cited_by_count":6,"area":null},{"id":"2208.14111","title":"Transformers with Learnable Activation Functions","created":"2022-08-30","cited_by_count":5,"area":null},{"id":"2306.00809","title":"Initial Guessing Bias: How Untrained Networks Favor Some Classes","created":"2023-06-01","cited_by_count":5,"area":null},{"id":"2409.10463","title":"Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons","created":"2024-09-16","cited_by_count":5,"area":null},{"id":"2409.19221","title":"Cauchy activation function and XNet","created":"2024-09-28","cited_by_count":5,"area":null},{"id":"2603.21852","title":"All elementary functions from a single binary operator","created":"2026-03-23","cited_by_count":5,"area":null},{"id":"2210.10264","title":"SignReLU neural network and its approximation ability","created":"2022-10-19","cited_by_count":4,"area":null},{"id":"2302.06037","title":"Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude Estimation Using 6DoF Inertial Measurement Units","created":"2023-02-13","cited_by_count":4,"area":null},{"id":"2307.02284","title":"Universal Scaling Laws of Absorbing Phase Transitions in Artificial Deep Neural Networks","created":"2023-07-05","cited_by_count":4,"area":null},{"id":"2310.03482","title":"The Geometric Structure of Fully-Connected ReLU Layers","created":"2023-10-05","cited_by_count":4,"area":null},{"id":"2401.05014","title":"Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data","created":"2024-01-10","cited_by_count":4,"area":null},{"id":"2401.10536","title":"Speech Swin-Transformer: Exploring a Hierarchical Transformer with Shifted Windows for Speech Emotion Recognition","created":"2024-01-19","cited_by_count":4,"area":null},{"id":"2401.17972","title":"MelNet: A Real-Time Deep Learning Algorithm for Object Detection","created":"2024-01-31","cited_by_count":4,"area":null},{"id":"2403.13299","title":"Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning","created":"2024-03-20","cited_by_count":4,"area":null},{"id":"2407.13070","title":"The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity","created":"2024-05-28","cited_by_count":4,"area":null},{"id":"2412.17183","title":"Nonlinear thermodynamic computing out of equilibrium","created":"2024-12-22","cited_by_count":4,"area":null},{"id":"2511.08198","title":"Proof Minimization in Neural Network Verification","created":"2025-11-11","cited_by_count":4,"area":null},{"id":"2602.05688","title":"Mining Generalizable Activation Functions","created":"2026-02-05","cited_by_count":4,"area":null},{"id":"2306.01822","title":"ErfReLU: Adaptive Activation Function for Deep Neural Network","created":"2023-06-02","cited_by_count":3,"area":null},{"id":"2402.05401","title":"Adaptive Activation Functions for Predictive Modeling with Sparse Experimental Data","created":"2024-02-08","cited_by_count":3,"area":null},{"id":"2403.15031","title":"Image Classification with Rotation-Invariant Variational Quantum Circuits","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2408.00386","title":"What comes after transformers? -- A selective survey connecting ideas in deep learning","created":"2024-08-01","cited_by_count":3,"area":null},{"id":"2409.11646","title":"Hard-Label Cryptanalytic Extraction of Neural Network Models","created":"2024-09-18","cited_by_count":3,"area":null},{"id":"2409.14435","title":"Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning","created":"2024-09-22","cited_by_count":3,"area":"deeprl"},{"id":"2410.08889","title":"Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via Modern Hopfield Network","created":"2024-10-11","cited_by_count":3,"area":null},{"id":"2412.01241","title":"Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement","created":"2024-12-02","cited_by_count":3,"area":null},{"id":"2502.19078","title":"Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs","created":"2025-02-26","cited_by_count":3,"area":null},{"id":"2506.22429","title":"Beyond ReLU: How Activations Affect Neural Kernels and Random Wide Networks","created":"2025-06-27","cited_by_count":3,"area":null},{"id":"2509.18025","title":"Deep Learning as the Disciplined Construction of Tame Objects","created":"2025-09-22","cited_by_count":3,"area":null},{"id":"2111.13861","title":"A New Multifractal-based Deep Learning Model for Text Mining","created":"2021-11-27","cited_by_count":2,"area":null},{"id":"2301.05993","title":"Empirical study of the modulus as activation function in computer vision applications","created":"2023-01-15","cited_by_count":2,"area":null},{"id":"2302.05818","title":"Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life","created":"2023-02-11","cited_by_count":2,"area":null},{"id":"2401.00587","title":"Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction","created":"2023-12-31","cited_by_count":2,"area":null},{"id":"2407.02013","title":"DiGRAF: Diffeomorphic Graph-Adaptive Activation Function","created":"2024-07-02","cited_by_count":2,"area":null},{"id":"2407.11372","title":"UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening","created":"2024-07-16","cited_by_count":2,"area":null},{"id":"2408.05540","title":"Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks","created":"2024-08-10","cited_by_count":2,"area":null},{"id":"2409.02485","title":"Adversarial Attacks on Machine Learning-Aided Visualizations","created":"2024-09-04","cited_by_count":2,"area":null},{"id":"2410.21886","title":"Bayesian Optimization for Hyperparameters Tuning in Neural Networks","created":"2024-10-29","cited_by_count":2,"area":null},{"id":"2501.09194","title":"Grounding Text-to-Image Diffusion Models for Controlled High-Quality Image Generation","created":"2025-01-15","cited_by_count":2,"area":"diffusion"},{"id":"2502.04489","title":"CNN Autoencoders for Hierarchical Feature Extraction and Fusion in Multi-sensor Human Activity Recognition","created":"2025-02-06","cited_by_count":2,"area":null},{"id":"2504.02518","title":"Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting","created":"2025-04-03","cited_by_count":2,"area":null},{"id":"2505.14512","title":"Just One Layer Norm Guarantees Stable Extrapolation","created":"2025-05-20","cited_by_count":2,"area":null},{"id":"2505.14730","title":"Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images","created":"2025-05-20","cited_by_count":2,"area":null},{"id":"2507.11436","title":"Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures","created":"2025-07-15","cited_by_count":2,"area":null},{"id":"2509.04682","title":"GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring","created":"2025-09-04","cited_by_count":2,"area":null},{"id":"2510.12327","title":"Simple Projection Variants Improve ColBERT Performance","created":"2025-10-14","cited_by_count":2,"area":null},{"id":"2602.07031","title":"Lagged backward-compatible physics-informed neural networks for unsaturated soil consolidation analysis","created":"2026-02-03","cited_by_count":2,"area":null},{"id":"2607.17624","title":"Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks","created":"2026-07-20","cited_by_count":2,"area":null},{"id":"2207.09499","title":"Deep Analysis of Visual Product Reviews","created":"2022-07-19","cited_by_count":1,"area":null},{"id":"2305.10964","title":"Learning Activation Functions for Sparse Neural Networks","created":"2023-05-18","cited_by_count":1,"area":null},{"id":"2310.11439","title":"From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport","created":"2023-10-17","cited_by_count":1,"area":null},{"id":"2310.14354","title":"Toward Flare-Free Images: A Survey","created":"2023-10-22","cited_by_count":1,"area":null},{"id":"2312.14975","title":"Unsupervised Random Quantum Networks for PDEs","created":"2023-12-21","cited_by_count":1,"area":null},{"id":"2401.12687","title":"DVL Calibration using Data-driven Methods","created":"2024-01-23","cited_by_count":1,"area":null},{"id":"2401.13472","title":"Segmenting Cardiac Muscle Z-disks with Deep Neural Networks","created":"2024-01-24","cited_by_count":1,"area":null},{"id":"2402.09249","title":"Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions","created":"2024-02-14","cited_by_count":1,"area":null},{"id":"2406.16481","title":"Improving Quaternion Neural Networks with Quaternionic Activation Functions","created":"2024-06-24","cited_by_count":1,"area":null},{"id":"2407.08232","title":"SwishReLU: A Unified Approach to Activation Functions for Enhanced Deep Neural Networks Performance","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2408.13114","title":"Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2409.04915","title":"Activation Function Optimization Scheme for Image Classification","created":"2024-09-07","cited_by_count":1,"area":null},{"id":"2409.18272","title":"SLIDE: A machine-learning based method for forced dynamic response estimation of multibody systems","created":"2024-09-26","cited_by_count":1,"area":null},{"id":"2507.04432","title":"Reconstructing Biological Pathways by Applying Selective Incremental Learning to (Very) Small Language Models","created":"2025-07-06","cited_by_count":1,"area":null},{"id":"2508.18912","title":"HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections","created":"2025-08-26","cited_by_count":1,"area":null},{"id":"2604.18270","title":"Incremental learning for audio classification with Hebbian Deep Neural Networks","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2209.01378","title":"RNN(p) for Power Consumption Forecasting","created":"2022-09-03","cited_by_count":0,"area":null},{"id":"2209.03475","title":"Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)","created":"2022-08-26","cited_by_count":0,"area":null},{"id":"2305.06344","title":"Orthogonal Transforms in Neural Networks Amount to Effective Regularization","created":"2023-05-10","cited_by_count":0,"area":null},{"id":"2306.04668","title":"SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing","created":"2023-06-07","cited_by_count":0,"area":null},{"id":"2307.06287","title":"Rational Neural Network Controllers","created":"2023-07-12","cited_by_count":0,"area":null},{"id":"2307.13468","title":"Gaussian Graph with Prototypical Contrastive Learning in E-Commerce Bundle Recommendation","created":"2023-07-25","cited_by_count":0,"area":null},{"id":"2310.07047","title":"A predict-and-optimize approach to profit-driven churn prevention","created":"2023-10-10","cited_by_count":0,"area":null},{"id":"2312.16043","title":"An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification","created":"2023-12-26","cited_by_count":0,"area":null},{"id":"2403.16132","title":"Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems","created":"2024-03-24","cited_by_count":0,"area":null},{"id":"2404.06593","title":"Spatially Optimized Compact Deep Metric Learning Model for Similarity Search","created":"2024-04-09","cited_by_count":0,"area":null},{"id":"2405.03712","title":"Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition","created":"2024-05-04","cited_by_count":0,"area":null},{"id":"2405.11837","title":"Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model","created":"2024-05-20","cited_by_count":0,"area":null},{"id":"2406.13688","title":"Development of a Dual-Input Neural Model for Detecting AI-Generated Imagery","created":"2024-06-19","cited_by_count":0,"area":null},{"id":"2406.15617","title":"BrowNNe: Brownian Nonlocal Neurons & Activation Functions","created":"2024-06-21","cited_by_count":0,"area":null},{"id":"2407.00131","title":"RepAct: The Re-parameterizable Adaptive Activation Function","created":"2024-06-28","cited_by_count":0,"area":null}],"next_cursor":"100"}