Bias-aware simulation-based inference framework addresses selection bias, enhancing estimation accuracy.

Jonas Arruda, Sophie Chervet, Paula Staudt et al.

Relative state estimation using event-based propeller sensing with error under 3%.

Ravi Kumar Thakur, Luis Granados Segura, Jan Klivan et al.

EmbodiedLGR-Agent integrates lightweight graph representation and retrieval for efficient semantic-spatial memory in robots.

Paolo Riva, Leonardo Gargani, Matteo Frosi et al.

COFFAIL dataset includes successful and anomalous robot skill executions in coffee preparation, supporting imitation learning.

Alex Mitrevski, Ayush Salunke

Similarity-based portfolio construction enhances black-box optimization via k-nearest neighbor fine-tuning.

Catalin-Viorel Dinu, Diederick Vermetten, Carola Doerr

MARC method improves recommendation efficiency by modular representation compression, achieving a 2.82% eCPM lift in online tests.

Yunjia Xi, Menghui Zhu, Jianghao Lin et al.

PDF combines uncertainty-aware augmentation with delayed-feedback logit correction, raising LIBERO success to 0.77 and Atari HNS to 1.07.

Zehua Zang, Xi Wang, Fuchun Sun et al.

Introduces a framework for understanding the fragility of human-AI collaboration, analyzing grounding conditions and repair burden.

Varad Vishwarupe, Marina Jirotka, Nigel Shadbolt et al.

Sonata is a 3.77M-parameter hybrid world model for six-axis IMU motion prediction, excelling in cross-cohort transfer under clinical data scarcity.

Blaise Delaney, Salil Patel, Yuji Xing et al.

RankUp enhances representation rank via randomized permutation, multi-embedding, and global integration, boosting large-scale recommendation performance.

Jin Chen, Shangyu Zhang, Bin Hu et al.

Proposes EvoOR-Agent, a co-evolution framework optimizing reasoning paths and architectures, achieving 15% performance gains on heterogeneous benchmarks.

Jiahao Huang, Peilan Xu, Xiaoya Nan et al.

Video-Robin combines autoregressive planning and diffusion synthesis for video-to-music generation, achieving 2.21x faster inference.

Vaibhavi Lokegaonkar, Aryan Vijay Bhosale, Vishnu Raj et al.

Study shows current LLM agents lack environmental curiosity, discovering solutions in 79-81% of cases but utilizing them in only 37-50%.

Leon Engländer, Sophia Althammer, Ahmet Üstün et al.

ADAPT online reweighting dynamically adjusts sample importance via similarity signals, outperforming offline filtering, enhancing LLM generalization.

Wanru Zhao, Yihong Chen, Yuzhi Tang et al.

Analysis of generalization bounds in symbolic regression with genetic programming, revealing complexities in structure selection and constant fitting.

Masahiro Nomura, Ryoki Hamano, Isao Ono

Introducing SigGate-GT, a sigmoid gating mechanism that relaxes the softmax conservation constraint in graph transformers, improving stability and expressiveness.

Yang Liu, Dongxin Guo, Tom Zheng et al.

IDDM introduces controllable resampling via interpolation, improving discrete diffusion sample quality and flexibility.

Marcel Kollovieh, Sirine Ayadi, Stephan Günnemann

SkillFlow benchmark demonstrates 8.43% improvement in task success via lifelong skill evolution, using a dual-agent iterative framework.

Ziao Zhang, Kou Shi, Shiting Huang et al.

HalluClear employs classification, three-stage evaluation, and closed-loop reasoning to reduce GUI hallucinations effectively.

Chao Jin, Wenkui Yang, Hao Sun et al.

FlowRefiner uses flow matching with deterministic ODE correction for 3D turbulence prediction, outperforming existing methods.

Yilong Dai, Yiming Sun, Yiheng Chen et al.