| 2026 | ICAART | SafeCityLearn: A Benchmark for Safety-Constrained Reinforcement Learning in Distributed Energy Systems. | Amal Nammouchi, Andreas Kassler, Arunselvan Ramaswamy, Andreas Theorcharis |
| 2025 | ICAART | Approximate Probabilistic Inference for Time-Series Data: A Robust Latent Gaussian Model with Temporal Awareness. | Anton Johansson, Arunselvan Ramaswamy |
| 2025 | ICPRAM | Pre-Training Deep Q-Networks Eliminates the Need for Target Networks: An Empirical Study. | Alexander Lindstrm, Arunselvan Ramaswamy, Karl-Johan Grinnemo |
| 2024 | ICPRAM | Modeling Batch Tasks Using Recurrent Neural Networks in Co-Located Alibaba Workloads. | Hifza Khalid, Arunselvan Ramaswamy, Simone Ferlin, Alva L. Couch |
| 2024 | ICPRAM | Information Theoretic Deductions Using Machine Learning with an Application in Sociology. | Arunselvan Ramaswamy, Yunpeng Ma, Stefan Alfredsson, Fran Collyer, Anna Brunstrm |
| 2023 | ICPRAM | Gradient Clipping in Deep Learning: A Dynamical Systems Perspective. | Arunselvan Ramaswamy |
| 2022 | ICAART | Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols. | Pritha Gupta, Arunselvan Ramaswamy, Jan Peter Drees, Eyke Hllermeier, Claudia Priesterjahn, Tibor Jager |
| 2022 | ICAART | Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication. | Adrian Redder, Arunselvan Ramaswamy, Holger Karl |
| 2021 | CCS | Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! | Jan Peter Drees, Pritha Gupta, Eyke Hllermeier, Tibor Jager, Alexander Konze, Claudia Priesterjahn, Arunselvan Ramaswamy, Juraj Somorovsky |
| 2020 | PDP | DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme. | Arunselvan Ramaswamy |