Title
KAITIAN: A Unified Communication Framework for Enabling Efficient Collaboration Across Heterogeneous Accelerators in Embodied AI Systems Jieke Lin Wanyu Wang Longxiang Yin Yinhe Han 27 0 0 15 May 2025
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems Abdul Mustafa Muhammad Talha Khan Muhammad Azmi Umer Zaki Masood Chuadhry Mujeeb Ahmed AAML 58 0 0 06 May 2025
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients Yezhen Wang Zhouhao Yang Brian K Chen Fanyi Pu Yue Liu Tianyu Gao Kenji Kawaguchi 46 0 0 03 May 2025
DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction Chris Child Lam Ngo 49 0 0 29 Apr 2025
AlphaGrad: Non-Linear Gradient Normalization Optimizer Soham Sane ODL 61 0 0 22 Apr 2025
A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception Lin-Han Jia Si-Yu Han Lan-Zhe Guo Zhi Zhou Zhao-Long Li Yu-Feng Li Zhi-Hua Zhou 55 1 0 18 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks Jon Vadillo Roberto Santana J. A. Lozano Marta Z. Kwiatkowska BDL AAML 78 0 0 17 Feb 2025
Exploring the impact of Optimised Hyperparameters on Bi-LSTM-based Contextual Anomaly Detector Aafan Ahmad Toor Jia-Chun Lin Ernst Gunnar Gran 41 0 0 28 Jan 2025
EvoGP: A GPU-accelerated Framework for Tree-based Genetic Programming Lishuang Wang Zhihong Wu Kebin Sun Zhuozhao Li Ran Cheng 45 1 0 21 Jan 2025
MOGNET: A Mux-residual quantized Network leveraging Online-Generated weights Van Thien Nguyen William Guicquero Gilles Sicard MQ 75 1 0 17 Jan 2025
Real-world actor-based image steganalysis via classifier inconsistency detection Daniel Lerch-Hostalot David Megías 45 6 0 08 Jan 2025
Scaling Laws for Floating Point Quantization Training Xingwu Sun Shuaipeng Li Ruobing Xie Weidong Han Kan Wu ... Yangyu Tao Zhanhui Kang C. Xu Di Wang Jie Jiang MQ AIFin 64 1 0 05 Jan 2025
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 38 1 0 04 Oct 2024
Linear Projections of Teacher Embeddings for Few-Class Distillation Noel Loo Fotis Iliopoulos Wei Hu Erik Vee 32 0 0 30 Sep 2024
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data Lukas Heine Fabian Horst Jana Fragemann Gijs Luijten M. Balzer Jan Egger F. Bahnsen M. Sarfraz Jens Kleesiek 30 0 0 25 Sep 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 52 3 0 09 Sep 2024
chemtrain: Learning Deep Potential Models via Automatic Differentiation and Statistical Physics Paul Fuchs Stephan Thaler Sebastien Röcken Julija Zavadlav DiffM 90 6 0 28 Aug 2024
Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model Alloy Das Rohit Agarwal Rituparna Singh Arindam Chowdhury Debashis Nandi 31 0 0 27 Aug 2024
Understanding Generative AI Content with Embedding Models Max Vargas Reilly Cannon A. Engel Anand D. Sarwate Tony Chiang 65 3 0 19 Aug 2024
Accounting for plasticity: An extension of inelastic Constitutive Artificial Neural Networks Birte Boes Jaan-Willem Simon H. Holthusen AI4CE 45 6 0 27 Jul 2024
Ordered Momentum for Asynchronous SGD Chang-Wei Shi Yi-Rui Yang Wu-Jun Li ODL 67 0 0 27 Jul 2024
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints Kazumi Kasaura 38 0 0 02 Jul 2024
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks Aidan Furlong Farah Alsafadi S. Palmtag Andrew Godfrey Xu Wu 59 1 0 27 Jun 2024
Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classification O. Ajayi Yu Cheng CML 21 0 0 16 Jun 2024
Towards Standardizing AI Bias Exploration Emmanouil Krasanakis Symeon Papadopoulos 43 3 0 29 May 2024
Predict joint angle of body parts based on sequence pattern recognition Amin Ahmadi Kasani H. Sajedi 3DH 27 0 0 27 May 2024
Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum" Mhd Anas Alsakkal Runze Wang Jayawan H. B. Wijekoon Huajin Tang 46 1 0 24 May 2024
Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks Amin Ahmadi Kasani H. Sajedi 29 4 0 23 May 2024
Using autoencoders and deep transfer learning to determine the stellar parameters of 286 CARMENES M dwarfs P. Mas-Buitrago A. González-Marcos E. Solano V. Passegger M. Cortés-Contreras ... J. A. Caballero A. Schweitzer H. Tabernero D. Montes C. Cifuentes 14 3 0 14 May 2024
An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems Mayra Alexandra Macas Carrasco Chunming Wu Walter Fuertes 23 1 0 03 May 2024
Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks Peng Zhang Ao Duan Xianglu Zou Yuhong Liu 31 0 0 16 Mar 2024
Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems Xing Lei Longjun Liu Zhiheng Zhou Hongbin Sun Nanning Zheng 16 0 0 11 Mar 2024
Genie: Smart ROS-based Caching for Connected Autonomous Robots Zexin Li Soroush Bateni Cong Liu 42 1 0 29 Feb 2024
GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning M. Jimeno K. Bachi George Gardner Yasmin L. Hurd J. Vaughan S. Geethanath 35 0 0 29 Feb 2024
Parallelized Midpoint Randomization for Langevin Monte Carlo Lu Yu A. Dalalyan 43 6 0 22 Feb 2024
DBNets: A publicly available deep learning tool to measure the masses of young planets in dusty protoplanetary discs A. Ruzza G. Lodato G. Rosotti 16 2 0 19 Feb 2024
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI Thomas Bartz-Beielstein VLM 26 0 0 18 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 36 16 0 02 Feb 2024
Accelerating Material Property Prediction using Generically Complete Isometry Invariants Jonathan Balasingham Viktor Zamaraev V. Kurlin 19 5 0 22 Jan 2024
Acoustic characterization of speech rhythm: going beyond metrics with recurrent neural networks Franccois Deloche Laurent Bonnasse-Gahot Judit Gervain 26 0 0 22 Jan 2024
Attention on Personalized Clinical Decision Support System: Federated Learning Approach Chu Myaet Thwal K. Thar Ye Lin Tun Choong Seon Hong 32 22 0 22 Jan 2024
ADCNet: a unified framework for predicting the activity of antibody-drug conjugates Liye Chen Biaoshun Li Yihao Chen Mujie Lin Shipeng Zhang Chenxin Li Yu Pang Ling Wang 32 2 0 17 Jan 2024
CG-Kit: Code Generation Toolkit for Performant and Maintainable Variants of Source Code Applied to Flash-X Hydrodynamics Simulations Johann Rudi Youngjun Lee Aidan H. Chadha Mohamed Wahib K. Weide Jared P. OÑeal Anshu Dubey 23 1 0 07 Jan 2024
On the Burstiness of Distributed Machine Learning Traffic Natchanon Luangsomboon Fahimeh Fazel Jorg Liebeherr A. Sobhani Shichao Guan Xingjun Chu 38 1 0 30 Dec 2023
Predicting Properties of Periodic Systems from Cluster Data: A Case Study of Liquid Water Viktor Zaverkin David Holzmüller Robin Schuldt Johannes Kastner 36 15 0 03 Dec 2023
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows Hannes Hilger D. Witthaut Manuel Dahmen L. R. Gorjão Julius Trebbien Eike Cramer 32 5 0 23 Nov 2023
Modality-invariant and Specific Prompting for Multimodal Human Perception Understanding Hao Sun Ziwei Niu Xinyao Yu Jiaqing Liu Yen-Wei Chen Lanfen Lin 39 0 0 17 Nov 2023
4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters Yijie Zhou Chao Li Jin Liang Tianyi Xu Xin Liu Jun Xu 3DV 34 10 0 15 Nov 2023
Solution of FPK Equation for Stochastic Dynamics Subjected to Additive Gaussian Noise via Deep Learning Approach Amir H. Khodabakhsh S. Pourtakdoust 21 7 0 08 Nov 2023
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis Di Guo Sijin Li Jun Liu Zhangren Tu Tianyu Qiu ... Donghai Lin Qing Hong Meijin Lin Yanqin Lin X. Qu 36 2 0 12 Sep 2023