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Publication search results
found 10,772 matches
- 2024
- Daniel M. Anderson, Rayanne A. Luke:
Mathematical models of drug delivery via a contact lens during wear. CoRR abs/2403.00008 (2024) - Cyril Bachelard, Apostolos Chalkis, Vissarion Fisikopoulos, Elias P. Tsigaridas:
Randomized Control in Performance Analysis and Empirical Asset Pricing. CoRR abs/2403.00009 (2024) - Muhammad Suffian Nizami, Jose Maria Alonso-Moral, Alessandro Bogliolo:
Introducing User Feedback-based Counterfactual Explanations (UFCE). CoRR abs/2403.00011 (2024) - Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR abs/2403.00012 (2024) - Dongmin Park:
Prioritizing Informative Features and Examples for Deep Learning from Noisy Data. CoRR abs/2403.00013 (2024) - Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang:
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. CoRR abs/2403.00014 (2024) - Ganga Gireesan, Nisha Pillai, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar:
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization. CoRR abs/2403.00016 (2024) - Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar:
Towards Interpreting Multi-Objective Feature Associations. CoRR abs/2403.00017 (2024) - Arunkumar Velayudhan Pillai:
Crypto Technology - Impact on Global Economy. CoRR abs/2403.00018 (2024) - Xiaoxin Yin, David S. Yin:
Transformer-based Parameter Estimation in Statistics. CoRR abs/2403.00019 (2024) - Lo-Yao Yeh, Sheng-Po Tseng, Chia-Hsun Lu, Chih-Ya Shen:
Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy. CoRR abs/2403.00023 (2024) - Lorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou, Thomas Matthes, Stéphane Marchand-Maillet:
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking. CoRR abs/2403.00024 (2024) - Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin:
On the Challenges and Opportunities in Generative AI. CoRR abs/2403.00025 (2024) - Samuel J. K. Chin, Matthias Winkenbach, Akash Srivastava:
Learning to Deliver: a Foundation Model for the Montreal Capacitated Vehicle Routing Problem. CoRR abs/2403.00026 (2024) - Wenjun Jiang, Peiyan Li, Tianlong Fan, Ting Li, Chuanfu Zhang, Tao Zhang, Zongfu Luo:
A Quick Framework for Evaluating Worst Robustness of Complex Networks. CoRR abs/2403.00027 (2024) - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries. CoRR abs/2403.00028 (2024) - Wanghan Xu, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong:
GraphPub: Generation of Differential Privacy Graph with High Availability. CoRR abs/2403.00030 (2024) - Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup:
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model. CoRR abs/2403.00032 (2024) - Jun-En Ding, Shihao Yang, Anna Zilverstand, Feng Liu:
Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks. CoRR abs/2403.00033 (2024) - Viraj Nadkarni, D. Manjunath, Sharayu Moharir:
Influencing Bandits: Arm Selection for Preference Shaping. CoRR abs/2403.00036 (2024) - Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CoRR abs/2403.00037 (2024) - Ingo Weber, Hendrik Linka, Daniel Mertens, Tamara Muryshkin, Heinrich Opgenoorth, Stefan Langer:
FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use. CoRR abs/2403.00039 (2024) - Hongxia Li, Wei Huang, Jingya Wang, Ye Shi:
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning. CoRR abs/2403.00041 (2024) - Rafael Josip Penic, Tin Vlasic, Roland G. Huber, Yue Wan, Mile Sikic:
RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks. CoRR abs/2403.00043 (2024) - Sikun Yang, Heinz Koeppl:
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC. CoRR abs/2403.00044 (2024) - Michael Kissner, Leonardo Del Bino, Felix Päsler, Peter Caruana, George Ghalanos:
An All-Optical General-Purpose CPU and Optical Computer Architecture. CoRR abs/2403.00045 (2024) - Xue Jiang, Yihong Dong, Zhi Jin, Ge Li:
SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation. CoRR abs/2403.00046 (2024) - Sangwoon Kim, Antonia Bronars, Parag Patre, Alberto Rodriguez:
TEXterity - Tactile Extrinsic deXterity: Simultaneous Tactile Estimation and Control for Extrinsic Dexterity. CoRR abs/2403.00049 (2024) - Md. Tahmid Rahman Laskar, Elena Khasanova, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN:
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization. CoRR abs/2403.00067 (2024) - Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Artwork Explanation in Large-scale Vision Language Models. CoRR abs/2403.00068 (2024)
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