Omri Azencot
- Lipschitz Recurrent Neural Networks
2020/06/22 by N. Benjamin Erichson, Omri Azencot, Erichson, N. Benjamin +7 · 8 citations
Computer Science · #Anomaly Detection Techniques and Applications #Neural Networks and Applications #Machine Learning in Healthcare
- Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
2023/10/04 by Ilan Naiman, Naiman, Ilan, N. Benjamin Erichson +7 · 11 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
- Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
2024/10/25 by Ilan Naiman, Naiman, Ilan, Nimrod Berman +9 · 9 citations
Computer Science · #Neural Networks and Applications #Time Series Analysis and Forecasting
- Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
2023/05/25 by Ilan Naiman, Nimrod Berman, Naiman, Ilan +3 · 4 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Digital Media Forensic Detection
- Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes
2024/02/06 by Nimrod Berman, Eitan Kosman, Berman, Nimrod +5 · 3 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
2025/05/26 by Tal Gonen, Gonen, Tal, Itai Pemper +7 · 4 citations
Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods
- First-Order Manifold Data Augmentation for Regression Learning
2024/06/16 by Ilya Kaufman, Omri Azencot, Kaufman, Ilya +1 · 1 citation
Computer Science · #Neural Networks and Applications #Face and Expression Recognition #Image Processing and 3D Reconstruction
- Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning
2024/10/17 by Ilya Kaufman, Kaufman, Ilya, Omri Azencot +1 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting
2024/11/24 by Liran Nochumsohn, Nochumsohn, Liran, Michal Moshkovitz +7 · 1 citation
Decision Sciences · Earth and Planetary Sciences · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Reservoir Engineering and Simulation Methods
- Eigenvalue initialisation and regularisation for Koopman autoencoders
2022/12/23 by Jack Miller, Miller, Jack W., Charles O’Neill +5 · 1 citation
Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis #Energy Load and Power Forecasting