| 2026 | ASPDAC | Reinforced Logic-Based Distributed Routing within Isolated Secure Zones. | Yogesh Verma, Mattis Hasler, Sebastian Haas, Friedrich Pauls |
| 2025 | ICLR | E(3)-equivariant models cannot learn chirality: Field-based molecular generation. | Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lhdesmki |
| 2025 | ICLR | Robust Simulation-Based Inference under Missing Data via Neural Processes. | Yogesh Verma, Ayush Bharti, Vikas Garg |
| 2025 | ICML | Positional Encoding meets Persistent Homology on Graphs. | Yogesh Verma, Amauri H. Souza, Vikas K. Garg |
| 2024 | ICLR | ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs. | Yogesh Verma, Markus Heinonen, Vikas Garg |
| 2024 | ICML | Topological Neural Networks go Persistent, Equivariant, and Continuous. | Yogesh Verma, Amauri H. Souza, Vikas Garg |
| 2023 | ICML | AbODE: Ab initio antibody design using conjoined ODEs. | Yogesh Verma, Markus Heinonen, Vikas Garg |
| 2020 | GLOBECOM | 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 |