12 citations · 17 across the 18 of their papers we have counts for
8 papers · 1 filter
SoftDTW-CUDA-Torch: Memory-Efficient GPU-Accelerated Soft Dynamic Time Warping for PyTorch
Ron Shapira Weber, Oren Freifeld
We present softdtw-cuda-torch, an open-source PyTorch library for computing Soft Dynamic Time Warping (SoftDTW) on GPUs. Our implementation addresses three key limitations of exist…
Improving the Effective Receptive Field of Message-Passing Neural Networks
Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof +2
Message-Passing Neural Networks (MPNNs) have become a cornerstone for processing and analyzing graph-structured data. However, their effectiveness is often hindered by phenomena su…
Consistent Amortized Clustering via Generative Flow Networks
Irit Chelly, Roy Uziel, Oren Freifeld +1
Neural models for amortized probabilistic clustering yield samples of cluster labels given a set-structured input, while avoiding lengthy Markov chain runs and the need for explici…
Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging
Ron Shapira Weber, Oren Freifeld
In time-series analysis, nonlinear temporal misalignment remains a pivotal challenge that forestalls even simple averaging. Since its introduction, the Diffeomorphic Temporal Align…
CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis
Or Dinari, Raz Zamir, John W. Fisher +1
In the realm of unsupervised learning, Bayesian nonparametric mixture models, exemplified by the Dirichlet Process Mixture Model (DPMM), provide a principled approach for adapting…
DeepDPM: Deep Clustering With an Unknown Number of Clusters
Meitar Ronen, Shahaf E. Finder, Oren Freifeld
Deep Learning (DL) has shown great promise in the unsupervised task of clustering. That said, while in classical (i.e., non-deep) clustering the benefits of the nonparametric appro…