Yogesh Verma

According to our database, Yogesh Verma authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diffusion Twigs with Loop Guidance for Conditional Graph Generation.

Giangiacomo Mercatali, Yogesh Verma, André Freitas, Vikas Garg

CoRR, 2024

Field-based Molecule Generation.

Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki

CoRR, 2024

Trustworthy Silicon: An MPSoC for a Secure Operating System.

Sebastian Haas, Christopher Dunkel, Friedrich Pauls, Mattis Hasler, Yogesh Verma

Proceedings of the 2024 IEEE Nordic Circuits and Systems Conference (NorCAS), 2024

Integration of IP-Cores for the M³ Architecture with Low Area Overhead: Accelerator Support Module.

Friedrich Pauls, Sebastian Haas, Yogesh Verma

Proceedings of the 21st International SoC Design Conference, 2024

Topological Neural Networks go Persistent, Equivariant, and Continuous.

Yogesh Verma, Amauri H. Souza, Vikas Garg

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs.

Yogesh Verma, Markus Heinonen, Vikas Garg

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Crosstalk-Based Hardware Trojan In Low Power Designs.

Yogesh Verma, Mattis Hasler

Proceedings of the 20th International SoC Design Conference, 2023

AbODE: Ab initio antibody design using conjoined ODEs.

Yogesh Verma, Markus Heinonen, Vikas Garg

Proceedings of the International Conference on Machine Learning, 2023

2022

Reliability and optimal release time analysis for multi up-gradation software with imperfect debugging and varied testing coverage under the effect of random field environments.

Subhashis Chatterjee, Deepjyoti Saha, Akhilesh Sharma, Yogesh Verma

Ann. Oper. Res., 2022

Modular Flows: Differential Molecular Generation.

Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks Under CSI Uncertainty.

Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Pramod K. Varshney

IEEE Trans. Veh. Technol., 2021

2020

Linear MMSE Precoder Combiner Designs for Decentralized Estimation in Wireless Sensor Networks.

Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Pramod K. Varshney

Proceedings of the IEEE Global Communications Conference, 2020