2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS … J Conrad, J Kauffman, S Wilhelmstätter, R Asthana, V Belagiannis, ...

Email: [email protected] Website: https://www.lms.tf.fau.eu I am currently a PhD candidate in the field of Deep Learning under the supervision of Prof. Dr. Vasileios Belagiannis , working on developing efficient Always-On Neural Networks.

To advance the architecture search, we present a graph diffusion-based NAS approach that uses discrete conditional graph diffusion processes to generate high-performing neural network architectures.

Mar 9, 2024 · We then propose a multi-conditioned classifier-free guidance approach applied to graph diffusion networks to jointly impose constraints such as high accuracy and low hardware latency. Unlike the related work, our method is completely differentiable and requires only a …

Apr 13, 2023 · Our research group working on “Machine Learning in Signal Processing” has a new team member: We welcome Rohan Asthana, who will conduct research on the architecture of neuronal networks.

Rohan Asthana PhD student, Friedrich-Alexander Universität Erlangen-Nürnberg. Joined ; September 2023

Rohan Asthana received the master’s degree in cognitive systems from Ulm University in 2023. He is currently pursuing the Ph.D. degree in deep learning, with a focus on developing efficient always-on neural networks, under the supervision of Prof. Vasileios Belagiannis.

Rohan Asthana. List of publications: BibTeX-Download. Professur für Maschinelles Lernen in der Signalverarbeitung. Publications (3) Types of publications ... Wilhelmstatter S, Asthana R, Belagiannis V, Ortmanns M Conference contribution Multi-conditioned Graph Diffusion for Neural Architecture Search (2024) Asthana R, Conrad J, Dawoud Y ...