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Academic · 1 min

Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration

arXiv:2603.20297v1 Announce Type: new Abstract: Accurate calibration is essential for instruments whose measurements must remain traceable, reliable, and compliant over long operating periods. Fixed-interval programs …

Adithya Parthasarathy, Aswathnarayan Muthukrishnan Kirubakaran, Akshay Deshpande, Ram Sekhar Bodala, Suhas Malempati, Nachiappan Chockalingam, Vinoth Punniyamoorthy, Seema Gangaiah Aarella

6 views Mar 24

Academic · 1 min

Rolling-Origin Validation Reverses Model Rankings in Multi-Step PM10 Forecasting: XGBoost, SARIMA, and Persistence

arXiv:2603.20315v1 Announce Type: new Abstract: (a) Many air quality forecasting studies report gains from machine learning, but evaluations often use static chronological splits and omit …

Federico Garcia Crespi, Eduardo Yubero Funes, Marina Alfosea Simon

7 views Mar 24

Academic · 1 min

Probing the Latent World: Emergent Discrete Symbols and Physical Structure in Latent Representations

arXiv:2603.20327v1 Announce Type: new Abstract: Video world models trained with Joint Embedding Predictive Architectures (JEPA) acquire rich spatiotemporal representations by predicting masked regions in latent …

Liu hung ming

15 views Mar 24

Academic · 1 min

Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms

arXiv:2603.20333v1 Announce Type: new Abstract: Modern autonomous multi-agent systems combine heterogeneous learning mechanisms operating at different timescales. An open question remains: can one formally guarantee …

Oleksii Bychkov

29 views Mar 24

Academic · 1 min

Hybrid Autoencoder-Isolation Forest approach for time series anomaly detection in C70XP cyclotron operation data at …

arXiv:2603.20335v1 Announce Type: new Abstract: The Interest Public Group ARRONAX's C70XP cyclotron, used for radioisotope production for medical and research applications, relies on complex and …

F Basbous (Nantes Univ, GIP ARRONAX), F Poirier (GIP ARRONAX, CNRS), F Haddad (GIP ARRONAX, Nantes Univ, CNRS), D Mateus (Nantes Univ - ECN, LS2N)

6 views Mar 24

Academic · 1 min

Graph-Aware Text-Only Backdoor Poisoning for Text-Attributed Graphs

arXiv:2603.20339v1 Announce Type: new Abstract: Many learning systems now use graph data in which each node also contains text, such as papers with abstracts or …

Qi Luo, Minghui Xu, Dongxiao Yu, Xiuzhen Cheng

23 views Mar 24

Academic · 1 min

Interpretable Multiple Myeloma Prognosis with Observational Medical Outcomes Partnership Data

arXiv:2603.20341v1 Announce Type: new Abstract: Machine learning (ML) promises better clinical decision-making, yet opaque model behavior limits the adoption in healthcare. We propose two novel …

Salma Rachidi, Aso Bozorgpanah, Eric Fey, Alexander Jung

6 views Mar 24

Academic · 1 min

The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification

arXiv:2603.20352v1 Announce Type: new Abstract: Time series machine learning (TSML) is a growing research field that spans a wide range of tasks. The popularity of …

Matthew Middlehurst, Aiden Rushbrooke, Ali Ismail-Fawaz, Maxime Devanne, Germain Forestier, Angus Dempster, Geoffrey I. Webb, Christopher Holder, Anthony Bagnall

6 views Mar 24

Academic · 1 min

CAMA: Exploring Collusive Adversarial Attacks in c-MARL

arXiv:2603.20390v1 Announce Type: new Abstract: Cooperative multi-agent reinforcement learning (c-MARL) has been widely deployed in real-world applications, such as social robots, embodied intelligence, UAV swarms, …

Men Niu, Xinxin Fan, Quanliang Jing, Shaoye Luo, Yunfeng Lu

6 views Mar 24

Academic · 1 min

SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement Learning

arXiv:2603.20392v1 Announce Type: new Abstract: Probabilistic circuit (PC) structure learning is hampered by greedy algorithms that make irreversible, locally optimal decisions. We propose SymCircuit, which …

Y. Sungtaek Ju

28 views Mar 24

Academic · 1 min

KV Cache Optimization Strategies for Scalable and Efficient LLM Inference

arXiv:2603.20397v1 Announce Type: new Abstract: The key-value (KV) cache is a foundational optimization in Transformer-based large language models (LLMs), eliminating redundant recomputation of past token …

Yichun Xu, Navjot K. Khaira, Tejinder Singh

6 views Mar 24

Academic · 1 min

Putnam 2025 Problems in Rocq using Opus 4.6 and Rocq-MCP

arXiv:2603.20405v1 Announce Type: new Abstract: We report on an experiment in which Claude Opus~4.6, equipped with a suite of Model Context Protocol (MCP) tools for …

Guillaume Baudart, Marc Lelarge, Tristan St\'erin, Jules Viennot

24 views Mar 24

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Articles

Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration

Rolling-Origin Validation Reverses Model Rankings in Multi-Step PM10 Forecasting: XGBoost, SARIMA, and Persistence

Probing the Latent World: Emergent Discrete Symbols and Physical Structure in Latent Representations

Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms

Hybrid Autoencoder-Isolation Forest approach for time series anomaly detection in C70XP cyclotron operation data at …

Graph-Aware Text-Only Backdoor Poisoning for Text-Attributed Graphs

Interpretable Multiple Myeloma Prognosis with Observational Medical Outcomes Partnership Data

The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification

CAMA: Exploring Collusive Adversarial Attacks in c-MARL

SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement Learning

KV Cache Optimization Strategies for Scalable and Efficient LLM Inference

Putnam 2025 Problems in Rocq using Opus 4.6 and Rocq-MCP

JCG, PC

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