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Papers matching “task space” 54

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Combined Task and Motion Planning Via Sketch Decompositions (Extended Version with Supplementary Material)
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Magí Dalmau, Néstor García, Vicenç Gómez, Héctor Geffner

0

citations
Pairwise Auxiliary Ranking Task for Bioactivity Modelling
2026 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Marc Boef, Olivier J. M. Béquignon, Gerard J. P. van Westen

0

citations
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, +5 more

4

citations
A Comparative Analysis of Attention versus State-Space Models for In-Context Learning
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Enes Arda, Semih Çaycı, Atilla Eryılmaz

0

citations
QUIDS: Query Intent Description for Exploratory Search via Dual Space Modeling
2024 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Yumeng Wang, Xiuying Chen, Suzan Verberne

0

citations
Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization
2025 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

William De Deyn, Michaël Herty, Giovanni Samaey

0

citations
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Z Ren

0

citations
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren

0

citations
The Effects of Randomness on the Stability of Node Embeddings
2020 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Jan Bachmann, Florian Frantzen, +3 more

2

citations
Interpretable compositional computation with recurrent neural networks
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Neural Networks and Applications Open access

Louis Pezon, Alexander van Meegen

0

citations
Automated Algorithm Design for Auto-Tuning Optimizers
2025 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Floris-Jan Willemsen, Bas van Stein, Ben van Werkhoven

0

citations
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, +2 more

2

citations
UnCorrupt SMILES: a novel approach to de novo design
2022 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Linde Schoenmaker, Olivier J. M. Béquignon, Willem Jespers, Gerard J. P. van Westen

3

citations
UnCorrupt SMILES: a novel approach to de novo design
2022 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Linde Schoenmaker, Olivier J. M. Béquignon, Willem Jespers, Gerard J. P. van Westen

3

citations
On Foundation Models for Dynamical Systems from Purely Synthetic Data
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Andrés Felipe Posada-Moreno, Friedrich Solowjow, Sebastian Trimpe

1

citations
Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory
2025 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Yang Zhou, Zhengyu Qi, Zhaochun Ren, Zhikai Jia, Haizhou Sun, Xiaofei Zhu, +1 more

2

citations
CANDOR: Chance-Calibrated Neighborhood Discordance in Frozen Encoders for Medical Imaging
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Soroosh Tayebi Arasteh, Sven Nebelung, Daniel Truhn

0

citations
Evolving Executable Pipeline Programs for AutoML with Language Models
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Sofoklis Kitharidis, Cor J. Veenman, Jan N. van Rijn, Thomas Bäck, Bas van Stein

0

citations
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang, Johannes Hoffart

1

citations
Vision Also You Need: Navigating Out-of-Distribution Detection with Multimodal Large Language Model
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Haoran Xu, Yanlin Liu, Zizhao Tong, Jiaze Li, Kexue Fu, Yuyang Zhang, +5 more

0

citations
Mixed-Block Neural Architecture Search for Medical Image Segmentation
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Martijn Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Continuous Episodic Control
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Yang Zhao, Thomas M. Moerland, Mike Preuß, Aske Plaat

0

citations
Low-Resource Vision Challenges for Foundation Models
2024 UvA-DARE (University of Amsterdam) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek

0

citations
Simulating quantum error mitigation in fermionic encodings
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Riley W. Chien, Kanav Setia, Xavier Bonet-Monroig, Mark Steudtner, James Daniel Whitfield

5

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck

3

citations