Machine Learning

Authors and titles for cs.LG in Dec 2023

[1]  arXiv:2312.00003 [pdf, ps, other]

Title: Transport Equation based Physics Informed Neural Network to predict the Yield Strength of Architected Materials

Authors: Akshansh Mishra

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE); Optimization and Control (math.OC)

[2]  arXiv:2312.00066 [pdf, ps, other]

Title: Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach

Authors: Amir Rafe, Patrick A. Singleton

Subjects: Machine Learning (cs.LG)

[3]  arXiv:2312.00076 [pdf, other]

Title: Towards A Foundation Model For Trajectory Intelligence

Authors: Alameen Najjar

Comments: Accepted to the 2023 IEEE International Conference on Data Mining Workshops (ICDMW)

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY); Social and Information Networks (cs.SI)

[4]  arXiv:2312.00088 [pdf, ps, other]

Title: Anomaly Detection via Learning-Based Sequential Controlled Sensing

Authors: Geethu Joseph, Chen Zhong, M. Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Systems and Control (eess.SY)

[5]  arXiv:2312.00090 [pdf, other]

Title: Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features

Authors: Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms

Subjects: Machine Learning (cs.LG); Applications (stat.AP)

[6]  arXiv:2312.00095 [pdf, other]

Title: Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting

Authors: Zifan Ning, Min Jin

Comments: 12 pages, 12 figures

Subjects: Machine Learning (cs.LG)

[7]  arXiv:2312.00102 [src]

Title: FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation

Authors: Fanfei Meng, Lele Zhang, Yu Chen, Yuxin Wang

Comments: Miss some important information and references. The publication hasn't been online in the journal

Journal-ref: Proceedings on Engineering Sciences, 2620-2832, 2023/10

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

[8]  arXiv:2312.00103 [pdf, other]

Title: DeepEn2023: Energy Datasets for Edge Artificial Intelligence

Authors: Xiaolong Tu, Anik Mallik, Haoxin Wang, Jiang Xie

Comments: arXiv admin note: text overlap with arXiv:2310.18329

Subjects: Machine Learning (cs.LG); Performance (cs.PF)

[9]  arXiv:2312.00111 [pdf, other]

Title: Multimodal Learning for Materials

Authors: Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Chen, Samuel Kim, Peter Y. Lu, Thomas Christensen, Marin Soljačić

Comments: 11 pages, 4 figures

Subjects: Machine Learning (cs.LG); Materials Science (cond-mat.mtrl-sci)

[10]  arXiv:2312.00157 [pdf, other]

Title: Universal Backdoor Attacks

Authors: Benjamin Schneider, Nils Lukas, Florian Kerschbaum

Comments: Accepted for publication at ICLR 2024

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Computer Vision and Pattern Recognition (cs.CV)

[11]  arXiv:2312.00170 [pdf, other]

Title: Non-uniform Online Learning: Towards Understanding Induction

Authors: Zhou Lu

Comments: A manuscript. Comments are most welcome!

Subjects: Machine Learning (cs.LG)

[12]  arXiv:2312.00189 [pdf, other]

Title: HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction

Authors: Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas

Comments: 13 pages, 3 figures, 6 tables

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Biomolecules (q-bio.BM)

[13]  arXiv:2312.00192 [pdf, other]

Title: Benchmarking and Enhancing Disentanglement in Concept-Residual Models

Authors: Renos Zabounidis, Ini Oguntola, Konghao Zhao, Joseph Campbell, Simon Stepputtis, Katia Sycara

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[14]  arXiv:2312.00194 [pdf, ps, other]

Title: Robust Concept Erasure via Kernelized Rate-Distortion Maximization

Authors: Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

Comments: NeurIPS 2023

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)

[15]  arXiv:2312.00198 [pdf, other]

Title: Optimal Attack and Defense for Reinforcement Learning

Authors: Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Computer Science and Game Theory (cs.GT)

[16]  arXiv:2312.00209 [pdf, other]

Title: On the Interplay Between Stepsize Tuning and Progressive Sharpening

Authors: Vincent Roulet, Atish Agarwala, Fabian Pedregosa

Comments: Presented at the NeurIPS 2023 OPT Wokshop

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

[17]  arXiv:2312.00232 [pdf, other]

Title: Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks

Authors: Alexander Möllers, Alexander Immer, Elvin Isufi, Vincent Fortuin

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

[18]  arXiv:2312.00234 [pdf, other]

Title: Deep Equilibrium Based Neural Operators for Steady-State PDEs

Authors: Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski

Comments: NeurIPS 2023

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA); Machine Learning (stat.ML)

[19]  arXiv:2312.00237 [pdf, other]

Title: Negotiated Representations to Prevent Forgetting in Machine Learning Applications

Authors: Nuri Korhan, Ceren Öner

Comments: 19 pages, 9 figures, 1 table. arXiv admin note: text overlap with arXiv:2010.15277, arXiv:2102.09517, arXiv:2201.00766 by other authors

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

[20]  arXiv:2312.00246 [pdf, other]

Title: Directions of Curvature as an Explanation for Loss of Plasticity

Authors: Alex Lewandowski, Haruto Tanaka, Dale Schuurmans, Marlos C. Machado

Subjects: Machine Learning (cs.LG)

[21]  arXiv:2312.00267 [pdf, other]

Title: Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration

Authors: Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Jeff Schneider, Willie Neiswanger

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

[22]  arXiv:2312.00268 [pdf, other]

Title: Academic competitions

Authors: Hugo Jair Escalante, Aleksandra Kruchinina

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

[23]  arXiv:2312.00271 [pdf, other]

Title: Towards Clinical Prediction with Transparency: An Explainable AI Approach to Survival Modelling in Residential Aged Care

Authors: Teo Susnjak, Elise Griffin

Subjects: Machine Learning (cs.LG)

[24]  arXiv:2312.00276 [pdf, other]

Title: Automating Continual Learning

Authors: Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber

Subjects: Machine Learning (cs.LG)

[25]  arXiv:2312.00277 [pdf, other]

Title: Text Attribute Control via Closed-Loop Disentanglement

Authors: Lei Sha, Thomas Lukasiewicz

Comments: accepted by TACL 2023

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)