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 (GLOBECOM, 2020)

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)

Modular Flows: Differential Molecular Generation. - Yogesh Verma; Samuel Kaski; Markus Heinonen; Vikas Garg 001 (NeurIPS, 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)

AbODE: Ab initio antibody design using conjoined ODEs. - Yogesh Verma; Markus Heinonen; Vikas Garg 001 (ICML, 2023)

Crosstalk-Based Hardware Trojan In Low Power Designs. - Yogesh Verma; Mattis Hasler (ISOCC, 2023)

ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs. - Yogesh Verma; Markus Heinonen; Vikas Garg 001 (ICLR, 2024)

Topological Neural Networks go Persistent, Equivariant, and Continuous. - Yogesh Verma; Amauri H. Souza; Vikas Garg 001 (ICML, 2024)

Integration of IP-Cores for the M3 Architecture with Low Area Overhead: Accelerator Support Module. - Friedrich Pauls; Sebastian Haas; Yogesh Verma (ISOCC, 2024)

Diffusion Twigs with Loop Guidance for Conditional Graph Generation. - Giangiacomo Mercatali; Yogesh Verma; André Freitas; Vikas Garg 001 (NeurIPS, 2024)

Trustworthy Silicon: An MPSoC for a Secure Operating System. - Sebastian Haas; Christopher Dunkel; Friedrich Pauls; Mattis Hasler; Yogesh Verma (NorCAS, 2024)

Field-based Molecule Generation. - Alexandru Dumitrescu; Dani Korpela; Markus Heinonen; Yogesh Verma; Valerii Iakovlev; Vikas Garg 001; Harri Lähdesmäki (CoRR, 2024)

E(3)-equivariant models cannot learn chirality: Field-based molecular generation. - Alexandru Dumitrescu; Dani Korpela; Markus Heinonen; Yogesh Verma; Valerii Iakovlev; Vikas Garg 001; Harri Lähdesmäki (ICLR, 2025)

Robust Simulation-Based Inference under Missing Data via Neural Processes. - Yogesh Verma; Ayush Bharti; Vikas Garg 001 (ICLR, 2025)

Positional Encoding meets Persistent Homology on Graphs. - Yogesh Verma; Amauri H. Souza; Vikas Garg 001 (CoRR, 2025)