Shaj, Vaisakh

6 publications

TMLR 2025 Towards Measuring Predictability: To Which Extent Data-Driven Approaches Can Extract Deterministic Relations from Data Exemplified with Time Series Prediction and Classification Saleh GHOLAM Zadeh, Vaisakh Shaj, Patrick Jahnke, Gerhard Neumann, Tim Breitenbach

NeurIPSW 2024 Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann

ICLR 2022 Hidden Parameter Recurrent State Space Models for Changing Dynamics Scenarios Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann

CoRL 2020 Action-Conditional Recurrent Kalman Networks for Forward and Inverse Dynamics Learning Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann

CVPRW 2020 Adversarial Fooling Beyond "Flipping the Label" Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu

ICML 2019 Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty