Academic

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Academic · 1 min

MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction

arXiv:2602.13791v1 Announce Type: new Abstract: Predicting transcriptional responses to unseen genetic perturbations is essential for understanding gene regulation and prioritizing large-scale perturbation experiments. Existing approaches …

Marc Boubnovski Martell, Josefa Lia Stoisser, Lawrence Phillips, Aditya Misra, Robert Kitchen, Jesper Ferkinghoff-Borg, Jialin Yu, Philip Torr, Kaspar M\"arten

8 views Feb 18

Academic · 1 min

Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting

arXiv:2602.13802v1 Announce Type: new Abstract: Time series forecasting has long been dominated by model-centric approaches that formulate prediction as a single-pass mapping from historical observations …

Xiaoyu Tao, Mingyue Cheng, Chuang Jiang, Tian Gao, Huanjian Zhang, Yaguo Liu

20 views Feb 18

Academic · 1 min

Fast Physics-Driven Untrained Network for Highly Nonlinear Inverse Scattering Problems

arXiv:2602.13805v1 Announce Type: new Abstract: Untrained neural networks (UNNs) offer high-fidelity electromagnetic inverse scattering reconstruction but are computationally limited by high-dimensional spatial-domain optimization. We propose …

Yutong Du, Zicheng Liu, Yi Huang, Bazargul Matkerim, Bo Qi, Yali Zong, Peixian Han

30 views Feb 18

Academic · 1 min

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning

arXiv:2602.13807v1 Announce Type: new Abstract: Time series anomaly detection is critical in many real-world applications, where effective solutions must localize anomalous regions and support reliable …

Xiaoyu Tao, Yuchong Wu, Mingyue Cheng, Ze Guo, Tian Gao

29 views Feb 18

Academic · 1 min

Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation

arXiv:2602.13810v1 Announce Type: new Abstract: Learning expressive and efficient policy functions is a promising direction in reinforcement learning (RL). While flow-based policies have recently proven …

Guojian Zhan, Letian Tao, Pengcheng Wang, Yixiao Wang, Yiheng Li, Yuxin Chen, Masayoshi Tomizuka, Shengbo Eben Li

8 views Feb 18

Academic · 1 min

Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference

arXiv:2602.13813v1 Announce Type: new Abstract: We introduce Pawsterior, a variational flow-matching framework for improved and extended simulation-based inference (SBI). Many SBI problems involve posteriors constrained …

Jorge Carrasco-Pollo, Floor Eijkelboom, Jan-Willem van de Meent

9 views Feb 18

Academic · 1 min

Testing For Distribution Shifts with Conditional Conformal Test Martingales

arXiv:2602.13848v1 Announce Type: new Abstract: We propose a sequential test for detecting arbitrary distribution shifts that allows conformal test martingales (CTMs) to work under a …

Shalev Shaer, Yarin Bar, Drew Prinster, Yaniv Romano

20 views Feb 18

Academic · 1 min

sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals

arXiv:2602.13857v1 Announce Type: new Abstract: Tasks ranging from sleep staging to clinical diagnosis traditionally rely on standard polysomnography (PSG) devices, bedside monitors and wearable devices, …

Weixuan Yuan, Zengrui Jin, Yichen Wang, Donglin Xie, Ziyi Ye, Chao Zhang, Xuesong Chen

40 views Feb 18

Academic · 1 min

Sufficient Conditions for Stability of Minimum-Norm Interpolating Deep ReLU Networks

arXiv:2602.13910v1 Announce Type: new Abstract: Algorithmic stability is a classical framework for analyzing the generalization error of learning algorithms. It predicts that an algorithm has …

Ouns El Harzli, Yoonsoo Nam, Ilja Kuzborskij, Bernardo Cuenca Grau, Ard A. Louis

12 views Feb 18

Academic · 1 min

GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization

arXiv:2602.13921v1 Announce Type: new Abstract: Repository-level bug localization-the task of identifying where code must be modified to fix a bug-is a critical software engineering challenge. …

Juntong Wang, Libin Chen, Xiyuan Wang, Shijia Kang, Haotong Yang, Da Zheng, Muhan Zhang

21 views Feb 18

Academic · 1 min

Why Code, Why Now: Learnability, Computability, and the Real Limits of Machine Learning

arXiv:2602.13934v1 Announce Type: new Abstract: Code generation has progressed more reliably than reinforcement learning, largely because code has an information structure that makes it learnable. …

Zhimin Zhao

19 views Feb 18

Academic · 1 min

A Multi-Agent Framework for Code-Guided, Modular, and Verifiable Automated Machine Learning

arXiv:2602.13937v1 Announce Type: new Abstract: Automated Machine Learning (AutoML) has revolutionized the development of data-driven solutions; however, traditional frameworks often function as "black boxes", lacking …

Dat Le, Duc-Cuong Le, Anh-Son Nguyen, Tuan-Dung Bui, Thu-Trang Nguyen, Son Nguyen, Hieu Dinh Vo

38 views Feb 18

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Academic

MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction

Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting

Fast Physics-Driven Untrained Network for Highly Nonlinear Inverse Scattering Problems

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning

Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation

Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference

Testing For Distribution Shifts with Conditional Conformal Test Martingales

sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals

Sufficient Conditions for Stability of Minimum-Norm Interpolating Deep ReLU Networks

GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization

Why Code, Why Now: Learnability, Computability, and the Real Limits of Machine Learning

A Multi-Agent Framework for Code-Guided, Modular, and Verifiable Automated Machine Learning

JCG, PC

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