Title
The Relative Gaussian Mechanism and its Application to Private Gradient Descent Hadrien Hendrikx Paul Mangold A. Bellet 38 1 0 29 Aug 2023
Large-scale gradient-based training of Mixtures of Factor Analyzers A. Gepperth 15 0 0 26 Aug 2023
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction Jie Yang S. Han Siqu Long Josiah Poon Goran Nenadic 50 0 0 12 Aug 2023
Counterfactual Explanation Policies in RL Shripad Deshmukh R Srivatsan Supriti Vijay Jayakumar Subramanian Chirag Agarwal OffRL 42 0 0 25 Jul 2023
Flight Contrail Segmentation via Augmented Transfer Learning with Novel SR Loss Function in Hough Space Junzi Sun Esther Roosenbrand 11 4 0 22 Jul 2023
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture Reyhaneh Rahimi Praveen Ravirathinam A. Ebtehaj A. Behrangi J. Tan Vipin Kumar AI4Cl 34 4 0 20 Jul 2023
DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles Kareem A. Eltouny Wansong Liu Sibo Tian Minghui Zheng Xiao Liang 3DH 31 7 0 07 Jul 2023
Random Number Generators and Seeding for Differential Privacy N. Holohan SyDa 32 1 0 07 Jul 2023
Length of Stay prediction for Hospital Management using Domain Adaptation Lyse Naomi Wamba Momo Nyalleng Moorosi E. Nsoesie F. Rademakers B. De Moor OOD 19 1 0 29 Jun 2023
Low-Light Enhancement in the Frequency Domain Hao Chen Zhi Jin 32 2 0 29 Jun 2023
Distributed Random Reshuffling Methods with Improved Convergence Kun-Yen Huang Linli Zhou Shi Pu 29 4 0 21 Jun 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 37 4 0 01 Jun 2023
Analysing high resolution digital Mars images using machine learning Mira A. Gergácz Á. Kereszturi 12 0 0 31 May 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 59 2 0 31 May 2023
FineMorphs: Affine-diffeomorphic sequences for regression Michele Lohr L. Younes 34 0 0 26 May 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 59 3 0 26 May 2023
SEntFiN 1.0: Entity-Aware Sentiment Analysis for Financial News Ankur Sinha Satishwar Kedas Rishu Kumar P. Malo AIFin 23 40 0 20 May 2023
Predicting Tweet Engagement with Graph Neural Networks Marco Arazzi Marco Cotogni Antonino Nocera L. Virgili 25 5 0 17 May 2023
Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency Hongrui Chen Aditya Joglekar L. Kara AI4CE 32 7 0 17 May 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen Matthew S. Rosen UQCV OOD 20 2 0 12 May 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training Siddarth Asokan C. Seelamantula GAN 74 1 0 12 May 2023
Exploring the flavor structure of quarks and leptons with reinforcement learning Satsuki Nishimura Coh Miyao Hajime Otsuka 23 9 0 27 Apr 2023
Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting Van-Duc Le GNN AI4TS 30 10 0 25 Apr 2023
Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning P. Ai L. Xiao Z. Deng Yi Wang Xiangming Sun Guangming Huang Dong Wang Yulei Li Xinchi Ran 16 2 0 24 Apr 2023
Smart Learning to Find Dumb Contracts (Extended Version) Tamer Abdelaziz Aquinas Hobor 28 5 0 21 Apr 2023
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks Ragnhild Holden Helland Alexandros Ferles André Pedersen I. Kommers H. Ardon ... O. Solheim P. D. W. Hamer Ingerid Reinertsen R. Eijgelaar D. Bouget 26 16 0 18 Apr 2023
Scallop: A Language for Neurosymbolic Programming Ziyang Li Jiani Huang Mayur Naik ReLM LRM NAI 34 30 0 10 Apr 2023
When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm? Yuansi Chen Khashayar Gatmiry 99 15 0 10 Apr 2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks Alberto Marchisio Antonio De Marco Alessio Colucci Maurizio Martina Mohamed Bennai AAML 30 2 0 08 Apr 2023
Unsupervised crack detection on complex stone masonry surfaces P. Agrafiotis Anastastios Doulamis A. Georgopoulos 38 2 0 31 Mar 2023
A Deliberation-based Joint Acoustic and Text Decoder S. Mavandadi Tara N. Sainath Ke Hu Zelin Wu 26 7 0 23 Mar 2023
GPU-enabled Function-as-a-Service for Machine Learning Inference Ming Zhao Kritshekhar Jha Sungho Hong 40 7 0 09 Mar 2023
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation N. Jethani A. Saporta Rajesh Ranganath FAtt 34 11 0 24 Feb 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints Jiayang Li Jiahao Yu Boyi Liu Zhaoran Wang Y. Nie 44 6 0 20 Feb 2023
Wrapyfi: A Python Wrapper for Integrating Robots, Sensors, and Applications across Multiple Middleware Fares Abawi Philipp Allgeuer Di Fu S. Wermter 22 4 0 19 Feb 2023
Binarized Neural Machine Translation Yichi Zhang Ankush Garg Yuan Cao Lukasz Lew Behrooz Ghorbani Zhiru Zhang Orhan Firat MQ 36 14 0 09 Feb 2023
Landscape of High-performance Python to Develop Data Science and Machine Learning Applications Oscar Castro P. Bruneau Jean-Sébastien Sottet D. Torregrossa 29 7 0 07 Feb 2023
Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning Aurelio Amerio A. Cuoco N. Fornengo 40 4 0 03 Feb 2023
TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation Ziji Shi Le Jiang Ang Wang Jie Zhang Xianyan Jia Yong Li Chencan Wu Jialin Li Wei Lin GNN 52 2 0 01 Feb 2023
Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Process S. Stockman Daniel J. Lawson M. J. Werner 3DPC 32 13 0 24 Jan 2023
AI2: The next leap toward native language based and explainable machine learning framework J. Dessureault Daniel Massicotte 22 1 0 09 Jan 2023
gRoMA: a Tool for Measuring the Global Robustness of Deep Neural Networks Natan Levy Raz Yerushalmi Guy Katz AAML 33 1 0 05 Jan 2023
Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations Evan Tey D. Moldovan M. Kunimoto Chelsea X. Huang A. Shporer ... D. Muthukrishna A. Vanderburg A. Dattilo G. Ricker S. Seager 30 4 0 03 Jan 2023
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach Yuli Zhang Shangbo Wang Ruiyuan Jiang 32 4 0 02 Jan 2023
Industrial Scene Change Detection using Deep Convolutional Neural Networks Ali Atghaei Ehsan Rahnama Kiavash Azimi Hassan Shahbazi 34 1 0 29 Dec 2022
Accelerating CNN inference on long vector architectures via co-design Sonia Rani Gupta Nikela Papadopoulou Miquel Pericàs 3DV 18 4 0 22 Dec 2022
Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data D. Anton Henning Wessels AI4CE 48 7 0 15 Dec 2022
SchNetPack 2.0: A neural network toolbox for atomistic machine learning Kristof T. Schütt Stefaan S. P. Hessmann Niklas W. A. Gebauer Jonas Lederer M. Gastegger 32 59 0 11 Dec 2022
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation A. Einizade S. Nasiri S. H. Sardouie G. Clifford 21 14 0 09 Dec 2022
Closed loop BCI System for Cybathlon 2020 C. Köllod A. Adolf G. Márton Moutz Wahdow Ward Fadel I. Ulbert 25 1 0 08 Dec 2022