Delve into the cutting edge of Artificial Intelligence with our dedicated Research Paper section.
A Rainbow in Deep Network Black Boxes Florentin Guth, Brice Ménard, Gaspar Rochette, Stéphane Mallat; 25(350):1−59, 2024. Abstract A central question in deep learning is to understand the functions learned by deep networks. What is their approximation class? Do the…
[Submitted on 11 Apr 2024 (v1), last revised 19 Nov 2024 (this version, v4)] View a PDF of the paper titled ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback, by Ming Li and 6 other authors View PDF HTML (experimental)…
[Submitted on 8 Mar 2024 (v1), last revised 20 Nov 2024 (this version, v2)] View a PDF of the paper titled Select High-Level Features: Efficient Experts from a Hierarchical Classification Network, by Andr\’e Kelm and 7 other authors View PDF…
[Submitted on 14 Jun 2024 (v1), last revised 20 Nov 2024 (this version, v2)] View a PDF of the paper titled TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs, by Zhuofeng Li and 8 other authors View PDF HTML…
[Submitted on 10 Nov 2024 (v1), last revised 20 Nov 2024 (this version, v2)] View a PDF of the paper titled Locally Adaptive One-Class Classifier Fusion with Dynamic $\ell$p-Norm Constraints for Robust Anomaly Detection, by Sepehr Nourmohammadi and 3 other…
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps Simon Apers, Sander Gribling, Dániel Szilágyi; 25(348):1−30, 2024. Abstract Hamiltonian Monte Carlo (HMC) is a Markov chain algorithm for sampling from a high-dimensional distribution with density $e^{-f(x)}$, given access…
[Submitted on 4 Mar 2024 (v1), last revised 18 Nov 2024 (this version, v4)] View a PDF of the paper titled Ergonomic Design of Computer Laboratory Furniture: Mismatch Analysis Utilizing Anthropometric Data of University Students, by Anik Kumar Saha and…
[Submitted on 24 Oct 2022 (v1), last revised 19 Nov 2024 (this version, v3)] View a PDF of the paper titled Sufficient Invariant Learning for Distribution Shift, by Taero Kim and 5 other authors View PDF HTML (experimental) Abstract:Learning robust…
[Submitted on 9 Nov 2023 (v1), last revised 19 Nov 2024 (this version, v2)] Authors:Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu View a PDF of…
[Submitted on 30 Mar 2023 (v1), last revised 18 Nov 2024 (this version, v3)] View a PDF of the paper titled Contextual Combinatorial Bandits with Probabilistically Triggered Arms, by Xutong Liu and 6 other authors View PDF HTML (experimental) Abstract:We…
[Submitted on 7 Jun 2024 (v1), last revised 19 Nov 2024 (this version, v3)] View a PDF of the paper titled Key-Element-Informed sLLM Tuning for Document Summarization, by Sangwon Ryu and 4 other authors View PDF HTML (experimental) Abstract:Remarkable advances…
[Submitted on 26 Jan 2024 (v1), last revised 17 Nov 2024 (this version, v2)] View a PDF of the paper titled Masked Pre-training Enables Universal Zero-shot Denoiser, by Xiaoxiao Ma and 7 other authors View PDF HTML (experimental) Abstract:In this…