Machine Learning

Authors and titles for cs.LG in Mar 2024

[1]  arXiv:2403.00011 [pdf, other]

Title: Introducing User Feedback-based Counterfactual Explanations (UFCE)

Authors: Muhammad Suffian, Jose M. Alonso-Moral, Alessandro Bogliolo

Comments: preprint of paper submitted to IJCIS Springer

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)

[2]  arXiv:2403.00012 [pdf, other]

Title: PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Authors: Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan

Comments: 13 pages, 5 figures, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024)

Subjects: Machine Learning (cs.LG); Hardware Architecture (cs.AR)

[3]  arXiv:2403.00013 [pdf, other]

Title: Prioritizing Informative Features and Examples for Deep Learning from Noisy Data

Authors: Dongmin Park

Comments: PhD thesis

Subjects: Machine Learning (cs.LG)

[4]  arXiv:2403.00016 [pdf, other]

Title: Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization

Authors: Ganga Gireesan, Nisha Pillai, Michael J Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

Comments: The 2023 International Conference on Computational Science & Computational Intelligence (CSCI'23)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[5]  arXiv:2403.00017 [pdf, other]

Title: Towards Interpreting Multi-Objective Feature Associations

Authors: Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

Comments: The 18th Annual IEEE International Systems Conference 2024 (IEEE SYSCON 2024)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[6]  arXiv:2403.00019 [pdf, other]

Title: Transformer-based Parameter Estimation in Statistics

Authors: Xiaoxin Yin, David S. Yin

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[7]  arXiv:2403.00024 [pdf, other]

Title: FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking

Authors: Lorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou, Thomas Matthes, Stéphane Marchand-Maillet

Comments: arXiv admin note: text overlap with arXiv:2402.18611

Subjects: Machine Learning (cs.LG); Quantitative Methods (q-bio.QM)

[8]  arXiv:2403.00025 [pdf, ps, other]

Title: On the Challenges and Opportunities in Generative AI

Authors: 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 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

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[9]  arXiv:2403.00026 [pdf, other]

Title: Learning to Deliver: a Foundation Model for the Montreal Capacitated Vehicle Routing Problem

Authors: Samuel J. K. Chin, Matthias Winkenbach, Akash Srivastava

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Optimization and Control (math.OC)

[10]  arXiv:2403.00036 [pdf, other]

Title: Influencing Bandits: Arm Selection for Preference Shaping

Authors: Viraj Nadkarni, D. Manjunath, Sharayu Moharir

Comments: 14 pages, 8 figures, 24 references, proofs in appendix

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Systems and Control (eess.SY)