Vaisakh Shaj

According to our database, Vaisakh Shaj authored at least 11 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Trans. Mach. Learn. Res., 2025

2024

Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity.

Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann

CoRR, 2024

Learning World Models With Hierarchical Temporal Abstractions: A Probabilistic Perspective.

Vaisakh Shaj

CoRR, 2024

2023

Multi Time Scale World Models.

Vaisakh Shaj, Saleh Gholam Zadeh, Ozan Demir, Luiz R. Douat, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control.

Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios.

Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Adversarial Fooling Beyond "Flipping the Label".

Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Zero-Shot Knowledge Distillation in Deep Networks.

Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Learning Sparse Adversarial Dictionaries for Multi-class Audio Classification.

Vaisakh Shaj, Puranjoy Bhattacharya

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Edge-PSO: A recombination operator based PSO algorithm for solving TSP.

Vaisakh Shaj, P. M. Akhil, S. Asharaf

Proceedings of the 2016 International Conference on Advances in Computing, 2016