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Academic · 1 min

ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical …

arXiv:2602.13666v1 Announce Type: new Abstract: In complex clinical decision-making, clinicians must often track a variety of competing metrics defined by aim (ideal) and limit (strict) …

Edward Chen, Natalie Dullerud, Pang Wei Koh, Thomas Niedermayr, Elizabeth Kidd, Sanmi Koyejo, Carlos Guestrin

31 views Feb 18

Academic · 1 min

Advancing Analytic Class-Incremental Learning through Vision-Language Calibration

arXiv:2602.13670v1 Announce Type: new Abstract: Class-incremental learning (CIL) with pre-trained models (PTMs) faces a critical trade-off between efficient adaptation and long-term stability. While analytic learning …

Binyu Zhao, Wei Zhang, Xingrui Yu, Zhaonian Zou, Ivor Tsang

31 views Feb 18

Academic · 1 min

On the Sparsifiability of Correlation Clustering: Approximation Guarantees under Edge Sampling

arXiv:2602.13684v1 Announce Type: new Abstract: Correlation Clustering (CC) is a fundamental unsupervised learning primitive whose strongest LP-based approximation guarantees require $\Theta(n^3)$ triangle inequality constraints and …

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

23 views Feb 18

Academic · 1 min

Attention Head Entropy of LLMs Predicts Answer Correctness

arXiv:2602.13699v1 Announce Type: new Abstract: Large language models (LLMs) often generate plausible yet incorrect answers, posing risks in safety-critical settings such as medicine. Human evaluation …

Sophie Ostmeier, Brian Axelrod, Maya Varma, Asad Aali, Yabin Zhang, Magdalini Paschali, Sanmi Koyejo, Curtis Langlotz, Akshay Chaudhari

24 views Feb 18

Academic · 1 min

Optimal Regret for Policy Optimization in Contextual Bandits

arXiv:2602.13700v1 Announce Type: new Abstract: We present the first high-probability optimal regret bound for a policy optimization technique applied to the problem of stochastic contextual …

Orin Levy, Yishay Mansour

10 views Feb 18

Academic · 1 min

Near-Optimal Regret for Policy Optimization in Contextual MDPs with General Offline Function Approximation

arXiv:2602.13706v1 Announce Type: new Abstract: We introduce \texttt{OPO-CMDP}, the first policy optimization algorithm for stochastic Contextual Markov Decision Process (CMDPs) under general offline function approximation. …

Orin Levy, Aviv Rosenberg, Alon Cohen, Yishay Mansour

9 views Feb 18

Academic · 1 min

HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models

arXiv:2602.13710v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models enable instruction-following embodied control, but their large compute and memory footprints hinder deployment on resource-constrained robots and …

Xin Yan, Zhenglin Wan, Feiyang Ye, Xingrui Yu, Hangyu Du, Yang You, Ivor Tsang

39 views Feb 18

Academic · 1 min

Data-driven Bi-level Optimization of Thermal Power Systems with embedded Artificial Neural Networks

arXiv:2602.13746v1 Announce Type: new Abstract: Industrial thermal power systems have coupled performance variables with hierarchical order of importance, making their simultaneous optimization computationally challenging or …

Talha Ansar, Muhammad Mujtaba Abbas, Ramit Debnath, Vivek Dua, Waqar Muhammad Ashraf

25 views Feb 18

Academic · 1 min

Discrete Double-Bracket Flows for Isotropic-Noise Invariant Eigendecomposition

arXiv:2602.13759v1 Announce Type: new Abstract: We study matrix-free eigendecomposition under a matrix-vector product (MVP) oracle, where each step observes a covariance operator $C_k = C_{sig} …

ZhiMing Li, JiaHe Feng

31 views Feb 18

Academic · 1 min

On Representation Redundancy in Large-Scale Instruction Tuning Data Selection

arXiv:2602.13773v1 Announce Type: new Abstract: Data quality is a crucial factor in large language models training. While prior work has shown that models trained on …

Youwei Shu, Shaomian Zheng, Dingnan Jin, Wenjie Qu, Ziyao Guo, Qing Cui, Jun Zhou, Jiaheng Zhang

39 views Feb 18

Academic · 1 min

MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation …

arXiv:2602.13783v1 Announce Type: new Abstract: While Time Series Foundation Models (TSFMs) have demonstrated exceptional performance in generalized forecasting, their performance often degrades significantly when deployed …

Xiaoyun Yu, Li fan, Xiangfei Qiu, Nanqing Dong, Yonggui Huang, Honggang Qi, Geguang Pu, Wanli Ouyang, Xi Chen, Jilin Hu

22 views Feb 18

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

10 views Feb 18

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Articles

ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical …

Advancing Analytic Class-Incremental Learning through Vision-Language Calibration

On the Sparsifiability of Correlation Clustering: Approximation Guarantees under Edge Sampling

Attention Head Entropy of LLMs Predicts Answer Correctness

Optimal Regret for Policy Optimization in Contextual Bandits

Near-Optimal Regret for Policy Optimization in Contextual MDPs with General Offline Function Approximation

HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models

Data-driven Bi-level Optimization of Thermal Power Systems with embedded Artificial Neural Networks

Discrete Double-Bracket Flows for Isotropic-Noise Invariant Eigendecomposition

On Representation Redundancy in Large-Scale Instruction Tuning Data Selection

MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation …

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

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