Edge-PSO: A recombination operator based PSO algorithm for solving TSP. - Vaisakh Shaj; P. M. Akhil; S. Asharaf (ICACCI, 2016)

Learning Sparse Adversarial Dictionaries for Multi-class Audio Classification. - Vaisakh Shaj; Puranjoy Bhattacharya (ACPR, 2017)

Zero-Shot Knowledge Distillation in Deep Networks. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Vaisakh Shaj; Venkatesh Babu Radhakrishnan; Anirban Chakraborty 001 (ICML, 2019)

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 (CoRL, 2020)

Adversarial Fooling Beyond "Flipping the Label". - Konda Reddy Mopuri; Vaisakh Shaj; R. Venkatesh Babu (CVPR Workshops, 2020)

Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. - Vaisakh Shaj; Dieter Büchler; Rohit Sonker; Philipp Becker; Gerhard Neumann (ICLR, 2022)

End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. - Moritz Reuss; Niels van Duijkeren; Robert Krug 003; Philipp Becker; Vaisakh Shaj; Gerhard Neumann (Robotics: Science and Systems, 2022)

Multi Time Scale World Models. - Vaisakh Shaj; Saleh Gholam Zadeh; Ozan Demir; Luiz R. Douat; Gerhard Neumann (NeurIPS, 2023)

Learning World Models With Hierarchical Temporal Abstractions: A Probabilistic Perspective. - Vaisakh Shaj (CoRR, 2024)

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

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 (Trans. Mach. Learn. Res., 2025)