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Chanakya Ekbote
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 7
Top Topics
Piece Wise
Joint Distribution
Learning Process
Inductive Learning
Top Venues
CoRR
ECML/PKDD (2)
NeurIPS
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Publications
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Ashok Vardhan Makkuva
,
Marco Bondaschi
,
Chanakya Ekbote
,
Adway Girish
,
Alliot Nagle
,
Hyeji Kim
,
Michael Gastpar
Local to Global: Learning Dynamics and Effect of Initialization for Transformers.
CoRR
(2024)
Chanakya Ekbote
,
Ajinkya Pankaj Deshpande
,
Arun Iyer
,
Ramakrishna Bairi
,
Sundararajan Sellamanickam
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations.
CoRR
(2023)
Chanakya Ekbote
,
Ajinkya Pankaj Deshpande
,
Arun Iyer
,
Sundararajan Sellamanickam
,
Ramakrishna Bairi
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations.
NeurIPS
(2023)
Vijay Lingam
,
Manan Sharma
,
Chanakya Ekbote
,
Rahul Ragesh
,
Arun Iyer
,
Sundararajan Sellamanickam
A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks.
ECML/PKDD (2)
(2022)
Chanakya Ekbote
,
Moksh Jain
,
Payel Das
,
Yoshua Bengio
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions.
CoRR
(2022)
Moksh Jain
,
Emmanuel Bengio
,
Alex Hernández-García
,
Jarrid Rector-Brooks
,
Bonaventure F. P. Dossou
,
Chanakya Ekbote
,
Jie Fu
,
Tianyu Zhang
,
Michael Kilgour
,
Dinghuai Zhang
,
Lena Simine
,
Payel Das
,
Yoshua Bengio
Biological Sequence Design with GFlowNets.
CoRR
(2022)
Vijay Lingam
,
Chanakya Ekbote
,
Manan Sharma
,
Rahul Ragesh
,
Arun Iyer
,
Sundararajan Sellamanickam
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks.
CoRR
(2021)