Academic

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Academic · 1 min

HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents

arXiv:2602.16165v1 Announce Type: new Abstract: Training LLMs as interactive agents for multi-turn decision-making remains challenging, particularly in long-horizon tasks with sparse and delayed rewards, where …

Jiangweizhi Peng, Yuanxin Liu, Ruida Zhou, Charles Fleming, Zhaoran Wang, Alfredo Garcia, Mingyi Hong

8 views Feb 20

Academic · 1 min

Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning

arXiv:2602.16167v1 Announce Type: new Abstract: Physics-informed neural networks and neural operators often suffer from severe optimization difficulties caused by ill-conditioned gradients, multi-scale spectral behavior, and …

Binghang Lu, Jiahao Zhang, Guang Lin

8 views Feb 20

Academic · 1 min

Discrete Stochastic Localization for Non-autoregressive Generation

arXiv:2602.16169v1 Announce Type: new Abstract: Non-autoregressive (NAR) generation reduces decoding latency by predicting many tokens in parallel, but iterative refinement often suffers from error accumulation …

Yunshu Wu, Jiayi Cheng, Partha Thakuria, Rob Brekelmans, Evangelos E. Papalexakis, Greg Ver Steeg

9 views Feb 20

Academic · 1 min

Towards Secure and Scalable Energy Theft Detection: A Federated Learning Approach for Resource-Constrained Smart Meters

arXiv:2602.16181v1 Announce Type: new Abstract: Energy theft poses a significant threat to the stability and efficiency of smart grids, leading to substantial economic losses and …

Diego Labate, Dipanwita Thakur, Giancarlo Fortino

9 views Feb 20

Academic · 1 min

Deep TPC: Temporal-Prior Conditioning for Time Series Forecasting

arXiv:2602.16188v1 Announce Type: new Abstract: LLM-for-time series (TS) methods typically treat time shallowly, injecting positional or prompt-based cues once at the input of a largely …

Filippos Bellos, NaveenJohn Premkumar, Yannis Avrithis, Nam H. Nguyen, Jason J. Corso

11 views Feb 20

Academic · 1 min

Rethinking Input Domains in Physics-Informed Neural Networks via Geometric Compactification Mappings

arXiv:2602.16193v1 Announce Type: new Abstract: Several complex physical systems are governed by multi-scale partial differential equations (PDEs) that exhibit both smooth low-frequency components and localized …

Zhenzhen Huang, Haoyu Bian, Jiaquan Zhang, Yibei Liu, Kuien Liu, Caiyan Qin, Guoqing Wang, Yang Yang, Chaoning Zhang

8 views Feb 20

Academic · 1 min

Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning

arXiv:2602.16196v1 Announce Type: new Abstract: Coordinating large populations of interacting agents is a central challenge in multi-agent reinforcement learning (MARL), where the size of the …

Emile Anand, Richard Hoffmann, Sarah Liaw, Adam Wierman

33 views Feb 20

Academic · 1 min

ModalImmune: Immunity Driven Unlearning via Self Destructive Training

arXiv:2602.16197v1 Announce Type: new Abstract: Multimodal systems are vulnerable to partial or complete loss of input channels at deployment, which undermines reliability in real-world settings. …

Rong Fu, Jia Yee Tan, Wenxin Zhang, Zijian Zhang, Ziming Wang, Zhaolu Kang, Muge Qi, Shuning Zhang, Simon Fong

37 views Feb 20

Academic · 1 min

Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform

arXiv:2602.16198v1 Announce Type: new Abstract: Adaptation methods have been a workhorse for unlocking the transformative power of pre-trained diffusion models in diverse applications. Existing approaches …

Qijie Zhu, Zeqi Ye, Han Liu, Zhaoran Wang, Minshuo Chen

7 views Feb 20

Academic · 1 min

Linked Data Classification using Neurochaos Learning

arXiv:2602.16204v1 Announce Type: new Abstract: Neurochaos Learning (NL) has shown promise in recent times over traditional deep learning due to its two key features: ability …

Pooja Honna, Ayush Patravali, Nithin Nagaraj, Nanjangud C. Narendra

8 views Feb 20

Academic · 1 min

Geometric Neural Operators via Lie Group-Constrained Latent Dynamics

arXiv:2602.16209v1 Announce Type: new Abstract: Neural operators offer an effective framework for learning solutions of partial differential equations for many physical systems in a resolution-invariant …

Jiaquan Zhang, Fachrina Dewi Puspitasari, Songbo Zhang, Yibei Liu, Kuien Liu, Caiyan Qin, Fan Mo, Peng Wang, Yang Yang, Chaoning Zhang

9 views Feb 20

Academic · 1 min

Graph neural network for colliding particles with an application to sea ice floe modeling

arXiv:2602.16213v1 Announce Type: new Abstract: This paper introduces a novel approach to sea ice modeling using Graph Neural Networks (GNNs), utilizing the natural graph structure …

Ruibiao Zhu

37 views Feb 20

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Academic

HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents

Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning

Discrete Stochastic Localization for Non-autoregressive Generation

Towards Secure and Scalable Energy Theft Detection: A Federated Learning Approach for Resource-Constrained Smart Meters

Deep TPC: Temporal-Prior Conditioning for Time Series Forecasting

Rethinking Input Domains in Physics-Informed Neural Networks via Geometric Compactification Mappings

Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning

ModalImmune: Immunity Driven Unlearning via Self Destructive Training

Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform

Linked Data Classification using Neurochaos Learning

Geometric Neural Operators via Lie Group-Constrained Latent Dynamics

Graph neural network for colliding particles with an application to sea ice floe modeling

JCG, PC

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