:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Papamarkou, Theodore, Birdal, Tolga, Bronstein, Michael, Carlsson, Gunnar, Curry, Justin, Gao, Yue, Hajij, Mustafa, Kwitt, Roland, Liò, Pietro, Di Lorenzo, Paolo, Maroulas, Vasileios, Miolane, Nina, Nasrin, Farzana, Ramamurthy, Karthikeyan Natesan, Rieck, Bastian, Scardapane, Simone, Schaub, Michael T., Veličković, Petar, Wang, Bei, Wang, Yusu, Wei, Guo-Wei, Zamzmi, Ghada
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.08871
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs
by: Hajij, Mustafa, et al.
Published: (2023)

Trust Regions for Explanations via Black-Box Probabilistic Certification
by: Dhurandhar, Amit, et al.
Published: (2024)

Identifying Sub-networks in Neural Networks via Functionally Similar Representations
by: Gao, Tian, et al.
Published: (2024)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024)

Attending to Topological Spaces: The Cellular Transformer
by: Ballester, Rubén, et al.
Published: (2024)

Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks
by: Papillon, Mathilde, et al.
Published: (2023)

Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
by: Hajij, Mustafa, et al.
Published: (2025)

Root-to-Leaf Path Random Walks, Normalized Hodge Laplacians, and Cheeger Inequalities on Simplicial Complexes
by: Viganò, Francesco, et al.
Published: (2026)

Reasoning about concepts with LLMs: Inconsistencies abound
by: Uceda-Sosa, Rosario, et al.
Published: (2024)

Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
by: Wei, Dennis, et al.
Published: (2024)

Ranking Large Language Models without Ground Truth
by: Dhurandhar, Amit, et al.
Published: (2024)

HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
by: Huang, Yiming, et al.
Published: (2025)

LCGuard: Latent Communication Guard for Safe KV Sharing in Multi-Agent Systems
by: Asif, Sadia, et al.
Published: (2026)

Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
by: Villa, Danielle, et al.
Published: (2025)

Topotein: Topological Deep Learning for Protein Representation Learning
by: Wang, Zhiyu, et al.
Published: (2025)

Active Sequential Two-Sample Testing
by: Li, Weizhi, et al.
Published: (2023)

Topological Data Analysis and Topological Deep Learning Beyond Persistent Homology -- A Review
by: Su, Zhe, et al.
Published: (2025)

CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations
by: Korkmaz, Caner, et al.
Published: (2025)

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
by: Barsbey, Melih, et al.
Published: (2025)

TopoBench: A Framework for Benchmarking Topological Deep Learning
by: Telyatnikov, Lev, et al.
Published: (2024)

Recurrent Aggregators in Neural Algorithmic Reasoning
by: Xu, Kaijia, et al.
Published: (2024)

Leveraging Classical Algorithms for Graph Neural Networks
by: Wu, Jason, et al.
Published: (2025)

Value Alignment from Unstructured Text
by: Padhi, Inkit, et al.
Published: (2024)

Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera
by: Yu, Zhengdi, et al.
Published: (2024)

UV-free Texture Generation with Denoising and Geodesic Heat Diffusions
by: Foti, Simone, et al.
Published: (2024)

Convex Formulations for Training Two-Layer ReLU Neural Networks
by: Prakhya, Karthik, et al.
Published: (2024)

Language Models Coupled with Metacognition Can Outperform Reasoning Models
by: Khandelwal, Vedant, et al.
Published: (2025)

AgentSCOPE: Evaluating Contextual Privacy Across Agentic Workflows
by: Ngong, Ivoline C., et al.
Published: (2026)

Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features
by: Lago, Miguel A., et al.
Published: (2025)

TopoU-Net: a U-Net architecture for topological domains
by: Gaurav, Gaurav, et al.
Published: (2026)

Why do LLMs attend to the first token?
by: Barbero, Federico, et al.
Published: (2025)

Programming Refusal with Conditional Activation Steering
by: Lee, Bruce W., et al.
Published: (2024)

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
by: Ngong, Ivoline, et al.
Published: (2025)

Fun with Flags: Robust Principal Directions via Flag Manifolds
by: Mankovich, Nathan, et al.
Published: (2024)

Parallel Algorithms Align with Neural Execution
by: Engelmayer, Valerie, et al.
Published: (2023)

Commute-Time-Optimised Graphs for GNNs
by: Sterner, Igor, et al.
Published: (2024)

ICX360: In-Context eXplainability 360 Toolkit
by: Wei, Dennis, et al.
Published: (2025)

ICML 2023 Topological Deep Learning Challenge : Design and Results
by: Papillon, Mathilde, et al.
Published: (2023)

Scheduling for On-Board Federated Learning with Satellite Clusters
by: Razmi, Nasrin, et al.
Published: (2024)

Energy-Aware Federated Learning in Satellite Constellations
by: Razmi, Nasrin, et al.
Published: (2024)