Zobrazeno 1 - 10
of 35 721
pro vyhledávání: '"A. Bharti"'
Autor:
Bharti, Urvishkumar, Shahapur, Vikram
In autonomous driving, perception systems are piv otal as they interpret sensory data to understand the envi ronment, which is essential for decision-making and planning. Ensuring the safety of these perception systems is fundamental for achieving hi
Externí odkaz:
http://arxiv.org/abs/2411.10535
Parametrised quantum circuits offer expressive and data-efficient representations for machine learning. Due to quantum states residing in a high-dimensional Hilbert space, parametrised quantum circuits have a natural interpretation in terms of kernel
Externí odkaz:
http://arxiv.org/abs/2411.06650
Autor:
Garg, Bharti, Sarkar, Santanu
In this paper, we study the reproducing kernel Hilbert spaces (RKHS) which are constructed from \( J \)-contractive operator valued analytic functions on the upper half plane. First, we discuss the Potapov-Ginzburg transform of a specific class of Fr
Externí odkaz:
http://arxiv.org/abs/2411.01921
Autor:
Arora, Bharti, De Becker, Michaël
The study of the X-ray emission from massive binaries constitutes a relevant approach to investigate shock physics. The case of short period binaries may turn out to be quite challenging, especially in very asymmetric systems where the primary wind m
Externí odkaz:
http://arxiv.org/abs/2410.18827
Large Language Models (LLMs) for public use require continuous pre-training to remain up-to-date with the latest data. The models also need to be fine-tuned with specific instructions to maintain their ability to follow instructions accurately. Typic
Externí odkaz:
http://arxiv.org/abs/2410.10739
Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computational cost of simulating data from complex models, an
Externí odkaz:
http://arxiv.org/abs/2410.07930
Dynamical quantum error-correcting codes (QECC) offer a wider possibilities in how one can protect logical quantum information from noise and perform fault-tolerant quantum computation compared to static QECCs. A family of dynamical codes called the
Externí odkaz:
http://arxiv.org/abs/2410.02022
In quantum cryptography, secure randomness expansion involves using a short private string of random bits to generate a longer one, even in the presence of an adversary who may have access to quantum resources. In this work, we demonstrate that local
Externí odkaz:
http://arxiv.org/abs/2409.20082
As complex machine learning models continue to find applications in high-stakes decision-making scenarios, it is crucial that we can explain and understand their predictions. Post-hoc explanation methods provide useful insights by identifying importa
Externí odkaz:
http://arxiv.org/abs/2409.20427
We introduce CHARTOM, a visual theory-of-mind benchmark for multimodal large language models. CHARTOM consists of specially designed data visualizing charts. Given a chart, a language model needs to not only correctly comprehend the chart (the FACT q
Externí odkaz:
http://arxiv.org/abs/2408.14419