Academic

Academic · 1 min

Feature-Aware Anisotropic Local Differential Privacy for Utility-Preserving Graph Representation Learning in Metal Additive Manufacturing

arXiv:2604.05077v1 Announce Type: new Abstract: Metal additive manufacturing (AM) enables the fabrication of safety-critical components, but reliable quality assurance depends on high-fidelity sensor streams containing …

MD Shafikul Islam, Mahathir Mohammad Bappy, Saifur Rahman Tushar, Md Arifuzzaman

27 views Apr 8

Academic · 1 min

Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling

arXiv:2604.05072v1 Announce Type: new Abstract: Recent large language models have shifted SVG generation from differentiable rendering optimization to autoregressive program synthesis. However, existing approaches still …

Ximing Xing, Ziteng Xue, Zhenxi Li, Weicong Liang, Linqing Wang, Zhantao Yang, Tiankai Hang, Zijin Yin, Qinglin Lu, Chunyu Wang, Qian Yu

10 views Apr 8

Academic · 1 min

Towards Scaling Law Analysis For Spatiotemporal Weather Data

arXiv:2604.05068v1 Announce Type: new Abstract: Compute-optimal scaling laws are relatively well studied for NLP and CV, where objectives are typically single-step and targets are comparatively …

Alexander Kiefer, Prasanna Balaprakash, Xiao Wang

6 views Apr 8

Academic · 1 min

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series

arXiv:2604.05064v1 Announce Type: new Abstract: Synthetic data is essential for training foundation models for time series (FMTS), but most generators assume static correlations, and are …

Annita Vapsi, Penghang Liu, Saheed Obitayo, Aakriti, Manoj Cherukumalli, Prathamesh Patil, Amit Varshney, Nicolas Marchesotti, Elizabeth Fons, Vamsi K. Potluru, Manuela Veloso

6 views Apr 8

Academic · 1 min

Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk in Machine Learning Systems

arXiv:2604.05057v1 Announce Type: new Abstract: Blind-spot mass is a Good-Turing framework for quantifying deployment coverage risk in machine learning. In modern ML systems, operational state …

Biplab Pal, Santanu Bhattacharya, Madanjit Singh

14 views Apr 8

Academic · 1 min

PCA-Driven Adaptive Sensor Triage for Edge AI Inference

arXiv:2604.05045v1 Announce Type: new Abstract: Multi-channel sensor networks in industrial IoT often exceed available bandwidth. We propose PCA-Triage, a streaming algorithm that converts incremental PCA …

Ankit Hemant Lade, Sai Krishna Jasti, Nikhil Sinha, Indar Kumar, Akanksha Tiwari

10 views Apr 8

Academic · 1 min

Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization

arXiv:2604.05042v1 Announce Type: new Abstract: Recent advances at the intersection of control theory, neuroscience, and machine learning have revealed novel mechanisms by which dynamical systems …

Arthur N. Montanari, Francesco Bullo, Dmitry Krotov, Adilson E. Motter

12 views Apr 8

Academic · 1 min

Learning Stable Predictors from Weak Supervision under Distribution Shift

arXiv:2604.05002v1 Announce Type: new Abstract: Learning from weak or proxy supervision is common when ground-truth labels are unavailable, yet robustness under distribution shift remains poorly …

Mehrdad Shoeibi, Elias Hossain, Ivan Garibay, Niloofar Yousefi

4 views Apr 8

Academic · 1 min

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities

arXiv:2604.04999v1 Announce Type: new Abstract: Multimodal self-supervised pretraining offers a promising route to cancer prognosis by integrating histopathology whole-slide images, gene expression, and pathology reports, …

Kai Yu, Shuang Zhou, Yiran Song, Zaifu Zhan, Jie Peng, Kaixiong Zhou, Tianlong Chen, Feng Xie, Meng Wang, Huazhu Fu, Mingquan Lin, Rui Zhang

4 views Apr 8

Academic · 1 min

El Nino Prediction Based on Weather Forecast and Geographical Time-series Data

arXiv:2604.04998v1 Announce Type: new Abstract: This paper proposes a novel framework for enhancing the prediction accuracy and lead time of El Ni\~no events, crucial for …

Viet Trinh, Ha-Vy Luu, Quoc-Khiem Nguyen-Pham, Hung Tong, Thanh-Huyen Tran, Hoai-Nam Nguyen Dang

4 views Apr 8

Academic · 1 min

Learning-Based Multi-Criteria Decision Making Model for Sawmill Location Problems

arXiv:2604.04996v1 Announce Type: new Abstract: Strategically locating a sawmill is vital for enhancing the efficiency, profitability, and sustainability of timber supply chains. Our study proposes …

Mahid Ahmed, Ali Dogru, Chaoyang Zhang, Chao Meng

4 views Apr 8

Academic · 1 min

Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression

arXiv:2604.04988v1 Announce Type: new Abstract: Modern deployment often requires trading accuracy for efficiency under tight CPU and memory constraints, yet common compression proxies such as …

Longsheng Zhou, Yu Shen

4 views Apr 8

Feature-Aware Anisotropic Local Differential Privacy for Utility-Preserving Graph Representation Learning in Metal Additive Manufacturing

Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling

Towards Scaling Law Analysis For Spatiotemporal Weather Data

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series

Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk in Machine Learning Systems

PCA-Driven Adaptive Sensor Triage for Edge AI Inference

Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization

Learning Stable Predictors from Weak Supervision under Distribution Shift

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities

El Nino Prediction Based on Weather Forecast and Geographical Time-series Data

Learning-Based Multi-Criteria Decision Making Model for Sawmill Location Problems

Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression

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