413 citations · 4.3k across the 109 of their papers we have counts for
120 papers
Normalizing Flow Emulator for Gravitational Wave Detection Probability in the LIGO/Virgo/KAGRA O4 Observing Run
Julius Gassert, Ignacio Magaña Hernandez, Ariel J. Amsellem +2
Efficient and accurate estimation of the detection probability of a gravitational wave event given its source parameters remains a challenging problem because it conventionally req…
Sparse Priors for Efficient Distribution Learning
Saumya Goyal, Barnabás Póczos
Despite the widespread use and success of generative AI techniques today, theoretical guarantees on learning a distribution supported in dimensions from samples degrade as…
Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates
Saumya Goyal, Rohith Rongali, Ritabrata Ray +1
We study learning to learn through the lens of hyperparameter tuning. We propose the Langevin Gradient Descent Algorithm (LGD), which approximates the mean of the posterior distrib…
Objective-Agnostic Enhancement of Molecule Properties via Multi-Stage VAE
Chenghui Zhou, Barnabas Poczos
Variational autoencoder (VAE) is a popular method for drug discovery and various architectures and pipelines have been proposed to improve its performance. However, VAE approaches…
Task-Based MoE for Multitask Multilingual Machine Translation
Hai Pham, Young Jin Kim, Subhabrata Mukherjee +3
Mixture-of-experts (MoE) architecture has been proven a powerful method for diverse tasks in training deep models in many applications. However, current MoE implementations are tas…
Improving Molecule Properties Through 2-Stage VAE
Chenghui Zhou, Barnabas Poczos
Variational autoencoder (VAE) is a popular method for drug discovery and there had been a great deal of architectures and pipelines proposed to improve its performance. But the VAE…