Zobrazeno 1 - 10
of 3 712
pro vyhledávání: '"P. Yashar"'
We investigate the robustness of Neural Ratio Estimators (NREs) and Neural Posterior Estimators (NPEs) to distributional shifts in the context of measuring the abundance of dark matter subhalos using strong gravitational lensing data. While these dat
Externí odkaz:
http://arxiv.org/abs/2411.05905
Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions
Autor:
Arab, Aliasghar, Khaleghi, Milad, Partovi, Alireza, Abbaspour, Alireza, Shinde, Chaitanya, Mousavi, Yashar, Azimi, Vahid, Karimmoddini, Ali
This paper presents a comprehensive hazard analysis, risk assessment, and loss evaluation for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous vehicles. The EMRM system is engineered to enhance collision avoidance and mitigat
Externí odkaz:
http://arxiv.org/abs/2411.02706
The advent of autonomous driving technology has accentuated the need for comprehensive hazard analysis and risk assessment (HARA) to ensure the safety and reliability of vehicular systems. Traditional HARA processes, while meticulous, are inherently
Externí odkaz:
http://arxiv.org/abs/2410.23207
Autor:
Legin, Ronan, Isi, Maximiliano, Wong, Kaze W. K., Hezaveh, Yashar, Perreault-Levasseur, Laurence
Gravitational-wave (GW) parameter estimation typically assumes that instrumental noise is Gaussian and stationary. Obvious departures from this idealization are typically handled on a case-by-case basis, e.g., through bespoke procedures to ``clean''
Externí odkaz:
http://arxiv.org/abs/2410.19956
Autor:
Azzopardi, Leif, Moshfeghi, Yashar
Auditing Large Language Models (LLMs) to discover their biases and preferences is an emerging challenge in creating Responsible Artificial Intelligence (AI). While various methods have been proposed to elicit the preferences of such models, counterme
Externí odkaz:
http://arxiv.org/abs/2410.18906
We present the first steps toward applying causal representation learning to astronomy. Following up on previous work that introduced causal discovery to the field for the first time, here we solve a long standing conundrum by identifying the directi
Externí odkaz:
http://arxiv.org/abs/2410.14775
In recent years, much interdisciplinary research has been conducted exploring potential use cases of neuroscience to advance the field of information retrieval. Initial research concentrated on the use of fMRI data, but fMRI was deemed to be not suit
Externí odkaz:
http://arxiv.org/abs/2410.12572
Autor:
Ljepoja, Aleksandar, Komijani, Yashar
There are indications from the large-N analysis that multi-channel Kondo lattices have topological order. We use the coupled-wire construction to study the channel paramagnetic regime of a two-channel Kondo lattice model of spin-1/2 SU(2) spins. Usin
Externí odkaz:
http://arxiv.org/abs/2410.01759
Autor:
Jin, Zehao, Pasquato, Mario, Davis, Benjamin L., Deleu, Tristan, Luo, Yu, Cho, Changhyun, Lemos, Pablo, Perreault-Levasseur, Laurence, Bengio, Yoshua, Kang, Xi, Maccio, Andrea Valerio, Hezaveh, Yashar
Correlations between galaxies and their supermassive black holes (SMBHs) have been observed, but the causal mechanisms remained unclear. The emerging field of causal inference now enables examining these relationships using observational data. This s
Externí odkaz:
http://arxiv.org/abs/2410.00965
We study the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction in various Kondo lattice systems. We argue that the weak Kondo-coupling expansion contains certain physics which is lost in the usual static approximation to the spin susceptibility. Most
Externí odkaz:
http://arxiv.org/abs/2409.20532