Search Results for author: Tien Dat Nguyen

Found 4 papers, 4 papers with code

Learning Symmetrization for Equivariance with Orbit Distance Minimization

1 code implementation13 Nov 2023 Tien Dat Nguyen, Jinwoo Kim, Hongseok Yang, Seunghoon Hong

We present a general framework for symmetrizing an arbitrary neural-network architecture and making it equivariant with respect to a given group.

Image Classification

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

1 code implementation NeurIPS 2023 Jinwoo Kim, Tien Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong

In contrary to equivariant architectures, we use an arbitrary base model such as an MLP or a transformer and symmetrize it to be equivariant to the given group by employing a small equivariant network that parameterizes the probabilistic distribution underlying the symmetrization.

 Ranked #1 on Link Prediction on PCQM-Contact (using extra training data)

Graph Classification Graph Regression +1

Pure Transformers are Powerful Graph Learners

1 code implementation6 Jul 2022 Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong

We show that standard Transformers without graph-specific modifications can lead to promising results in graph learning both in theory and practice.

Graph Learning Graph Regression +1

bertha: Project Skeleton for Scientific Software

2 code implementations3 Dec 2019 Michael Riesch, Tien Dat Nguyen, Christian Jirauschek

Science depends heavily on reliable and easy-to-use software packages, such as mathematical libraries or data analysis tools.

Mathematical Software

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