Idit Diamant — accepted AI-conference papers

2025

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo

Idan Achituve, Hai Victor Habi, Amir Rosenfeld, Arnon Netzer, Idit Diamant, Ethan Fetaya

ICML 2025poster

In image processing, solving inverse problems is the task of finding plausible reconstructions of an image that was corrupted by some (usually known) degradation operator. Commonly, this process is done using a generative image model that can guide the reconstruction towards solutions that appear na…

Cited by 1 Source ↗PDF ↗Scholar ↗

2024

Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning

Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya

ICML 2024poster

As machine learning becomes more prominent there is a growing demand to perform several inference tasks in parallel. Multi-task learning (MTL) addresses this challenge by learning a single model that solves several tasks simultaneously and efficiently. Often optimizing MTL models entails first compu…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗