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ICML 2023 Workshop TAGML Submissions
On genuine invariance learning without weight-tying
Artem Moskalev
,
Anna Sepliarskaia
,
Erik J Bekkers
,
Arnold W.M. Smeulders
Published: 18 Jun 2023, Last Modified: 30 Jun 2023
TAGML2023 Poster
Readers:
Everyone
Learning to Explain Hypergraph Neural Networks
Sepideh Maleki
,
Ehsan Hajiramezanali
,
Gabriele Scalia
,
Tommaso Biancalani
,
Kangway V. Chuang
Published: 18 Jun 2023, Last Modified: 25 Jul 2023
TAGML2023 Poster
Readers:
Everyone
Breaking the Curse of Depth in Graph Convolutional Networks via Refined Initialization Strategy
Senmiao Wang
,
Yupeng Chen
,
Yushun Zhang
,
Tian Ding
,
Ruoyu Sun
Published: 18 Jun 2023, Last Modified: 30 Jun 2023
TAGML2023 Oral
Readers:
Everyone
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
Yuanrong Wang
,
Antonio Briola
,
Tomaso Aste
Published: 18 Jun 2023, Last Modified: 30 Jun 2023
TAGML2023 Poster
Readers:
Everyone
Metric Space Magnitude and Generalisation in Neural Networks
Rayna Andreeva
,
Katharina Limbeck
,
Bastian Rieck
,
Rik Sarkar
Published: 18 Jun 2023, Last Modified: 30 Jun 2023
TAGML2023 Poster
Readers:
Everyone
Non-linear Embeddings in Hilbert Simplex Geometry
Frank Nielsen
,
Ke Sun
Published: 18 Jun 2023, Last Modified: 04 Jul 2023
TAGML2023 Poster
Readers:
Everyone
Product Manifold Learning with Independent Coordinate Selection
Jesse He
,
Tristan Brugère
,
Gal Mishne
Published: 18 Jun 2023, Last Modified: 30 Jun 2023
TAGML2023 Poster
Readers:
Everyone
Can strong structural encoding reduce the importance of Message Passing?
Floor Eijkelboom
,
Erik J Bekkers
,
Michael M. Bronstein
,
Francesco Di Giovanni
Published: 18 Jun 2023, Last Modified: 02 Jul 2023
TAGML2023 Poster
Readers:
Everyone
Breaking the Structure of Multilayer Perceptrons with Complex Topologies
Tommaso Boccato
,
Matteo Ferrante
,
Andrea Duggento
,
Nicola Toschi
Published: 18 Jun 2023, Last Modified: 04 Jul 2023
TAGML2023 Poster
Readers:
Everyone
Global and Relative Topological Features from Homological Invariants of Subsampled Datasets
Jens Agerberg
,
Wojciech Chacholski
,
Ryan Ramanujam
Published: 18 Jun 2023, Last Modified: 29 Jun 2023
TAGML2023 Poster
Readers:
Everyone
k-Means Clustering with Distance-Based Privacy
Alessandro Epasto
,
Vahab Mirrokni
,
Shyam Narayanan
,
Peilin Zhong
Published: 18 Jun 2023, Last Modified: 28 Jun 2023
TAGML2023 Poster
Readers:
Everyone
Differentially Private Clustering in Data Streams
Alessandro Epasto
,
Tamalika Mukherjee
,
Peilin Zhong
Published: 18 Jun 2023, Last Modified: 30 Jun 2023
TAGML2023 Poster
Readers:
Everyone
GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning
Cheng Xin
,
Soham Mukherjee
,
Shreyas N. Samaga
,
Tamal K. Dey
Published: 18 Jun 2023, Last Modified: 30 Jun 2023
TAGML2023 Oral
Readers:
Everyone
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections
Clément Bonet
,
Laetitia Chapel
,
Lucas Drumetz
,
Nicolas Courty
Published: 18 Jun 2023, Last Modified: 26 Jun 2023
TAGML2023 Poster
Readers:
Everyone
Episodic Memory Theory of Recurrent Neural Networks: Insights into Long-Term Information Storage and Manipulation
Arjun Karuvally
,
Peter DelMastro
,
Hava T Siegelmann
Published: 18 Jun 2023, Last Modified: 29 Jun 2023
TAGML2023 Poster
Readers:
Everyone
Geometrically Regularized Wasserstein Dictionary Learning
Marshall Mueller
,
Shuchin Aeron
,
James M. Murphy
,
Abiy Tasissa
Published: 18 Jun 2023, Last Modified: 30 Jun 2023
TAGML2023 Poster
Readers:
Everyone
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin
,
Tom Verbin
,
Nadav Cohen
Published: 18 Jun 2023, Last Modified: 27 Jun 2023
TAGML2023 Poster
Readers:
Everyone
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs
Samantha Chen
,
Sunhyuk Lim
,
Facundo Memoli
,
Zhengchao Wan
,
Yusu Wang
Published: 18 Jun 2023, Last Modified: 30 Jun 2023
TAGML2023 Poster
Readers:
Everyone
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds
Ilyes Batatia
Published: 18 Jun 2023, Last Modified: 04 Jul 2023
TAGML2023 Poster
Readers:
Everyone
Learning To See Topological Properties In 4D Using Convolutional Neural Networks
Khalil Mathieu Hannouch
,
Stephan Chalup
Published: 18 Jun 2023, Last Modified: 27 Jun 2023
TAGML2023 Poster
Readers:
Everyone
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology
Yajing Liu
,
Christina M Cole
,
Chris Peterson
,
Michael Kirby
Published: 18 Jun 2023, Last Modified: 21 Jul 2023
TAGML2023 Poster
Readers:
Everyone
Learning Large Graph Property Prediction via Graph Segment Training
Kaidi Cao
,
Phitchaya Mangpo Phothilimthana
,
Sami Abu-El-Haija
,
Dustin Zelle
,
Yanqi Zhou
,
Charith Mendis
,
Jure Leskovec
,
Bryan Perozzi
Published: 18 Jun 2023, Last Modified: 25 Jun 2023
TAGML2023 Poster
Readers:
Everyone
An ML approach to resolution of singularities
Gergely Berczi
,
Honglu Fan
,
Mingcong Zeng
Published: 18 Jun 2023, Last Modified: 17 Jul 2023
TAGML2023 Poster
Readers:
Everyone
Fisher-Rao and pullback Hilbert cone distances on the multivariate Gaussian manifold with applications to simplification and quantization of mixtures
Frank Nielsen
Published: 18 Jun 2023, Last Modified: 23 Jun 2023
TAGML2023 Poster
Readers:
Everyone
On Explicit Curvature Regularization in Deep Generative Models
Yonghyeon Lee
,
Frank C. Park
Published: 18 Jun 2023, Last Modified: 07 Jul 2023
TAGML2023 Poster
Readers:
Everyone
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