ICML 2023 Topological Deep Learning Challenge : Design and Results
Fuente:
arXiv
Saved in:
Similar Items
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024)
by: Hajij, Mustafa, et al.
Published: (2024)
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
by: Bernárdez, Guillermo, et al.
Published: (2024)
by: Bernárdez, Guillermo, et al.
Published: (2024)
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
by: Telyatnikov, Lev, et al.
Published: (2023)
by: Telyatnikov, Lev, et al.
Published: (2023)
Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
by: Montagna, Marco, et al.
Published: (2024)
by: Montagna, Marco, et al.
Published: (2024)
Even with AI, Bijection Discovery is Still Hard: The Opportunities and Challenges of OpenEvolve for Novel Bijection Construction
by: Brown, Davis, et al.
Published: (2025)
by: Brown, Davis, et al.
Published: (2025)
Algebraic Wasserstein distances and stable homological invariants of data
by: Agerberg, Jens, et al.
Published: (2023)
by: Agerberg, Jens, et al.
Published: (2023)
FMG-Det: Foundation Model Guided Robust Object Detection
by: Hannan, Darryl, et al.
Published: (2025)
by: Hannan, Darryl, et al.
Published: (2025)
Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge
by: Yeats, Eric, et al.
Published: (2025)
by: Yeats, Eric, et al.
Published: (2025)
Neural incomplete factorization: learning preconditioners for the conjugate gradient method
by: Häusner, Paul, et al.
Published: (2023)
by: Häusner, Paul, et al.
Published: (2023)
Nagumo's Theorem for Dubovitskij-Miljutin Tangent Cones
by: Livesay, Michael
Published: (2025)
by: Livesay, Michael
Published: (2025)
Learning incomplete factorization preconditioners for GMRES
by: Häusner, Paul, et al.
Published: (2024)
by: Häusner, Paul, et al.
Published: (2024)
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization
by: Hannan, Darryl, et al.
Published: (2025)
by: Hannan, Darryl, et al.
Published: (2025)
Saddle-Free Guidance: Improved On-Manifold Sampling without Labels or Additional Training
by: Yeats, Eric, et al.
Published: (2025)
by: Yeats, Eric, et al.
Published: (2025)
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs
by: Hajij, Mustafa, et al.
Published: (2023)
by: Hajij, Mustafa, et al.
Published: (2023)
Nonlinear Sheaf Diffusion in Graph Neural Networks
by: Zaghen, Olga
Published: (2024)
by: Zaghen, Olga
Published: (2024)
VV.AA., Épica y conflicto religioso en el siglo XVI. Anglicanismo y luteranismo desde el imaginario hispánico, ed. Javier Burguillo y María José Vega, Londres, Tamesis, 2021, 238 pp. ISBN: 978-18-55663-35-0
by: Luca Zaghen
Published: (2022)
by: Luca Zaghen
Published: (2022)
Modularity is the Bedrock of Natural and Artificial Intelligence
by: Salatiello, Alessandro
Published: (2026)
by: Salatiello, Alessandro
Published: (2026)
From Modules to Movement: Deconstructing the Modular Architecture of the Motor System
by: Salatiello, Alessandro
Published: (2026)
by: Salatiello, Alessandro
Published: (2026)
A Locally Stable Equilibria Criterion for the Generalized Lotka-Volterra
by: Livesay, Michael Richard
Published: (2017)
by: Livesay, Michael Richard
Published: (2017)
TopoU-Net: a U-Net architecture for topological domains
by: Gaurav, Gaurav, et al.
Published: (2026)
by: Gaurav, Gaurav, et al.
Published: (2026)
TRANSCENDING THE INTER-INTRA. THEORETICAL INQUIRY INTO CIVIL WAR AND ITS REPERCUSSIONS ON INTERNATIONAL COLOMBIA-VENEZUELA CASE
by: Nicole Jenne
Published: (2014)
by: Nicole Jenne
Published: (2014)
Riemann-Roch bases for arbitrary elliptic curve divisors and their application in cryptography
by: Kuninets, Artyom, et al.
Published: (2025)
by: Kuninets, Artyom, et al.
Published: (2025)
Why women's equal representation increases policy losers’ consent: Revisiting the double‐edged sword of procedural fairness
by: Mattias Agerberg, et al.
Published: (2025)
by: Mattias Agerberg, et al.
Published: (2025)
Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes
by: He, Jesse, et al.
Published: (2024)
by: He, Jesse, et al.
Published: (2024)
MINAR: Mechanistic Interpretability for Neural Algorithmic Reasoning
by: He, Jesse, et al.
Published: (2026)
by: He, Jesse, et al.
Published: (2026)
Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics
by: Chau, Herman, et al.
Published: (2025)
by: Chau, Herman, et al.
Published: (2025)
SyMuPe: Affective and Controllable Symbolic Music Performance
by: Borovik, Ilya, et al.
Published: (2025)
by: Borovik, Ilya, et al.
Published: (2025)
A Connection Between Score Matching and Local Intrinsic Dimension
by: Yeats, Eric, et al.
Published: (2025)
by: Yeats, Eric, et al.
Published: (2025)
Warm-starting active-set solvers using graph neural networks
by: Schmidtobreick, Ella J., et al.
Published: (2025)
by: Schmidtobreick, Ella J., et al.
Published: (2025)
Learning to accelerate distributed ADMM using graph neural networks
by: Doerks, Henri, et al.
Published: (2025)
by: Doerks, Henri, et al.
Published: (2025)
Colored Markov polycategories and diagrammatic differentiation
by: Papamarkou, Theodore
Published: (2026)
by: Papamarkou, Theodore
Published: (2026)
Can Neural Networks Learn Small Algebraic Worlds? An Investigation Into the Group-theoretic Structures Learned By Narrow Models Trained To Predict Group Operations
by: Kvinge, Henry, et al.
Published: (2026)
by: Kvinge, Henry, et al.
Published: (2026)
Porosity and topological properties of triply periodic minimal surfaces
by: Ermolenko, Sergei, et al.
Published: (2024)
by: Ermolenko, Sergei, et al.
Published: (2024)
Reparameterization through Coverings and Topological Weight Priors
by: Beketov, Maxim, et al.
Published: (2026)
by: Beketov, Maxim, et al.
Published: (2026)
Temperature and current measurements in the Weddell Sea at mooring site A
by: Kvinge, Thor
Published: (2017)
by: Kvinge, Thor
Published: (2017)
Oceanography during Helland Hansen curise HH73
by: Kvinge, Thor
Published: (2010)
by: Kvinge, Thor
Published: (2010)
RotaTouille: Rotation Equivariant Deep Learning for Contours
by: Gardaa, Odin Hoff, et al.
Published: (2025)
by: Gardaa, Odin Hoff, et al.
Published: (2025)
Certifying Robustness via Topological Representations
by: Agerberg, Jens, et al.
Published: (2025)
by: Agerberg, Jens, et al.
Published: (2025)
COEXISTIR NO ESPAÇO-TEMPO DA PANDEMIA
by: Ricardo Scofano Medeiros
Published: (2020)
by: Ricardo Scofano Medeiros
Published: (2020)
Topology-Aware Activation Functions in Neural Networks
by: Snopov, Pavel, et al.
Published: (2025)
by: Snopov, Pavel, et al.
Published: (2025)
Similar Items
-
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024) -
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
by: Bernárdez, Guillermo, et al.
Published: (2024) -
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
by: Telyatnikov, Lev, et al.
Published: (2023) -
Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes
by: Montagna, Marco, et al.
Published: (2024) -
Even with AI, Bijection Discovery is Still Hard: The Opportunities and Challenges of OpenEvolve for Novel Bijection Construction
by: Brown, Davis, et al.
Published: (2025)