Zobrazeno 1 - 10
of 3 833
pro vyhledávání: '"NIKOLAIDIS, P."'
For $g\in BMOA$, we introduce the meromorphic optimal domain $(T_g,H^p)$, i.e. the space containing the meromorphic functions that are mapped under the action of the generalized Volterra operator $T_g$ into the Hardy space $H^p$. We investigate its p
Externí odkaz:
http://arxiv.org/abs/2411.14843
Learning models of complex spatial density functions, representing the steady-state density of mobile nodes moving on a two-dimensional terrain, can assist in network design and optimization problems, e.g., by accelerating the computation of the dens
Externí odkaz:
http://arxiv.org/abs/2411.10997
Assistive robots interact with humans and must adapt to different users' preferences to be effective. An easy and effective technique to learn non-expert users' preferences is through rankings of robot behaviors, for example, robot movement trajector
Externí odkaz:
http://arxiv.org/abs/2411.11182
Autor:
Costales, Robby, Nikolaidis, Stefanos
The wider application of end-to-end learning methods to embodied decision-making domains remains bottlenecked by their reliance on a superabundance of training data representative of the target domain. Meta-reinforcement learning (meta-RL) approaches
Externí odkaz:
http://arxiv.org/abs/2411.04466
Autor:
Pavlidis, Nikolaos, Perifanis, Vasileios, Briola, Eleni, Nikolaidis, Christos-Chrysanthos, Katsiri, Eleftheria, Efraimidis, Pavlos S., Filippidou, Despina Elisabeth
Early identification of Autism Spectrum Disorder (ASD) is considered critical for effective intervention to mitigate emotional, financial and societal burdens. Although ASD belongs to a group of neurodevelopmental disabilities that are not curable, r
Externí odkaz:
http://arxiv.org/abs/2410.20003
Autor:
Pasios, Stefanos, Nikolaidis, Nikos
Simulators are indispensable for research in autonomous systems such as self-driving cars, autonomous robots and drones. Despite significant progress in various simulation aspects, such as graphical realism, an evident gap persists between the virtua
Externí odkaz:
http://arxiv.org/abs/2410.18238
Autor:
Chazapis, Antony, Maliaroudakis, Evangelos, Nikolaidis, Fotis, Marazakis, Manolis, Bilas, Angelos
The escalating complexity of applications and services encourages a shift towards higher-level data processing pipelines that integrate both Cloud-native and HPC steps into the same workflow. Cloud providers and HPC centers typically provide both exe
Externí odkaz:
http://arxiv.org/abs/2409.16919
Autor:
Qian, Cheng, Zhang, Yulun, Bhatt, Varun, Fontaine, Matthew Christopher, Nikolaidis, Stefanos, Li, Jiaoyang
We use the Quality Diversity (QD) algorithm with Neural Cellular Automata (NCA) to generate benchmark maps for Multi-Agent Path Finding (MAPF) algorithms. Previously, MAPF algorithms are tested using fixed, human-designed benchmark maps. However, suc
Externí odkaz:
http://arxiv.org/abs/2409.06888
Autor:
Nikolaidis, Stefanos
The increasing complexity of robots and autonomous agents that interact with people highlights the critical need for approaches that systematically test them before deployment. This review paper presents a general framework for solving this problem,
Externí odkaz:
http://arxiv.org/abs/2409.04711
Autor:
Wan, Shengye, Nikolaidis, Cyrus, Song, Daniel, Molnar, David, Crnkovich, James, Grace, Jayson, Bhatt, Manish, Chennabasappa, Sahana, Whitman, Spencer, Ding, Stephanie, Ionescu, Vlad, Li, Yue, Saxe, Joshua
We are releasing a new suite of security benchmarks for LLMs, CYBERSECEVAL 3, to continue the conversation on empirically measuring LLM cybersecurity risks and capabilities. CYBERSECEVAL 3 assesses 8 different risks across two broad categories: risk
Externí odkaz:
http://arxiv.org/abs/2408.01605