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Papers matching “aggregation” 53

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PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval
2022 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury

0

citations
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Lars Kreuzberg, Idil Esen Zulfikar, Sabarinath Mahadevan, Francis Engelmann, Bastian Leibe

0

citations
Ordered Subgraph Aggregation Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert

8

citations
Aggregation of Class Activation Maps for Explaining Deep Learning at a Population Level
2026 SSRN Electronic Journal preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Yanli Li, Xikai Tang, Dennis A Ton, Denis P. Shamonin, Hessam Sokooti, M. Reijnierse, +3 more

0

citations
Some Might Say All You Need Is Sum
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Toenshoff, Martin Grohe

0

citations
How Expressive Are Graph Neural Networks in the Presence of Node Identifiers?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

A. Soeteman, Michael Benedikt, Martin Grohe, Balder ten Cate

0

citations
Covered Forest: Fine-grained generalization analysis of graph neural networks
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Ben Finkelshtein, Floris Geerts, Ron Levie

0

citations
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study
2023 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Sophia J. Wagner, Daniel Reisenbüchler, Nicholas Paul West, Jan Niehues, Gregory Patrick Veldhuizen, Philip Quirke, +24 more

6

citations
Deep Learning for Instance Retrieval: A Survey
2021 arXiv (Cornell University) preprint Computer Science Image Retrieval and Classification Techniques Open access

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Paul Fieguth, Li Liu, +1 more

5

citations
Transferability of Recommendation Systems from Entity- to Spatially-Aggregated-Level Data
2026 SSRN Electronic Journal preprint Computer Science Recommender Systems and Techniques Open access

Kaan Duran, Antonello Monti

0

citations
When and How to Aggregate Message Authentication Codes on Lossy Channels?
2023 arXiv (Cornell University) preprint Computer Science Cryptographic Implementations and Security Open access

Eric Wagner, Martin Serror, Klaus Wehrle, Martin Henze

0

citations
LeiBi@COLIEE 2022: Aggregating Tuned Lexical Models with a Cluster-driven BERT-based Model for Case Law Retrieval
2022 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Arian Askari, Georgios Peikos, Gabriella Pasi, Suzan Verberne

1

citations
GKAN: Graph Kolmogorov-Arnold Networks
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Mehrdad Kiamari, Mohammad Kiamari, Bhaskar Krishnamachari

25

citations
Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Rishabh Upadhyay, Arian Askari, Gabriella Pasi, Marco Viviani

2

citations
Are Targeted Messages More Effective?
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Martin Grohe, Eran Rosenbluth

1

citations
Graph Distortion Distances, Gromov-Hausdorff and the Hardness of Gromov-Wasserstein
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Jens Breitung, Timo Gervens, Julius Pörzgen

0

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

citations
Evaluation Metrics for Safe Reinforcement Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Lindsay Spoor, Aske Plaat, Thomas M. Moerland

0

citations
Towards General Deep Leakage in Federated Learning
2021 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jiahui Geng, Yongli Mou, Li Fei-Fei, Qing Li, Oya Beyan, Stefan Decker, +1 more

23

citations
Papyrus - A large scale curated dataset aimed at bioactivity predictions
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Olivier J. M. Béquignon, Brandon J. Bongers, Willem Jespers, Adriaan P. IJzerman, Bob van de Water, Gerard J. P. van Westen

8

citations
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
2022 medRxiv preprint Computer Science Privacy-Preserving Technologies in Data Open access

Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Anton Müller‐Franzes, Firas Khader, Philip Quirke, +21 more

7

citations
Towards FAIRification of Sensitive and Fragmented Rare Disease Patient Data: Challenges and Solutions in European Reference Network Registries
2022 Research Square preprint Computer Science Research Data Management Practices Open access

Bruna dos Santos Vieira, César H. Bernabé, Shuxin Zhang, Haitham Abaza, Nirupama Benis, Alberto Cámara, +9 more

7

citations
A Federated Framework for LLM-based Recommendation
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jujia Zhao, Wenjie Wang, Xu Chen, See-Kiong Ng, Tat‐Seng Chua

6

citations
Papyrus - A large scale curated dataset aimed at bioactivity predictions
2021 preprint Computer Science Computational Drug Discovery Methods Open access

Olivier J. M. Béquignon, Brandon J. Bongers, Willem Jespers, Adriaan P. IJzerman, Bob van de Water, Gerard J. P. van Westen

4

citations
Probabilistically Rewired Message-Passing Neural Networks
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Andrei Manolache, Zhe Zeng, Guy Van den Broeck, Mathias Niepert

4

citations