research
∙
02/17/2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
This work introduces MiDi, a diffusion model for jointly generating mole...
share
research
∙
10/18/2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
In Multi-Task Learning, tasks may compete and limit the performance achi...
research
∙
12/27/2021
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
Despite their impressive performance on image classification tasks, deep...
research
∙
08/03/2021
Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets
Spectral graph convolutional networks (SGCNs) have been attracting incre...
research
∙
12/24/2020
Sentence-Based Model Agnostic NLP Interpretability
Today, interpretability of Black-Box Natural Language Processing (NLP) m...
research
∙
10/14/2020
FAR: A General Framework for Attributional Robustness
Attribution maps have gained popularity as tools for explaining neural n...
research
∙
07/31/2020
Graph signal processing for machine learning: A review and new perspectives
The effective representation, processing, analysis, and visualization of...
research
∙
09/20/2019
CDOT: Continuous Domain Adaptation using Optimal Transport
In this work, we address the scenario in which the target domain is cont...
research
∙
01/07/2019
Visual Distortions in 360-degree Videos
Omnidirectional (or 360-degree) images and videos are emergent signals i...
research
∙
04/10/2018
The Sum-Rate-Distortion Region of Correlated Gauss-Markov Sources
We derive the sum-rate-distortion region for a generic number of success...
research
∙
06/30/2014
