ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA

26 February 2020

Papers citing "ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA"

5 / 5 papers shown

Title
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 79 0 0 03 Jun 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 70 2 0 16 Feb 2025
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling Emanuele Marconato Sébastien Lachapelle Sebastian Weichwald Luigi Gresele 69 3 0 30 Oct 2024
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 144 3,110 0 09 Jul 2018
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation Guosheng Lin Anton Milan Chunhua Shen Ian Reid AI4TS SSeg 190 2,835 0 20 Nov 2016