Vaisakh Shaj - RankMe

19 papers A* 3Misc 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kalman Linear Attention: Parallel Bayesian Filtering For Efficient Language Modelling and State Tracking. CoRR Vaisakh Shaj, Cameron Barker, Aidan Scannell, Andras Szecsenyi, Elliot J. Crowley, Amos J. Storkey
2025	J	`jnl`	Towards Measuring Predictability: To which extent data-driven approaches can extract deterministic relations from data exemplified with time series prediction and classification. Trans. Mach. Learn. Res. Saleh Gholam Zadeh, Vaisakh Shaj, Patrick Jahnke, Gerhard Neumann, Tim Breitenbach
2024	J	`jnl`	Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity. CoRR Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann
2024	J	`jnl`	Learning World Models With Hierarchical Temporal Abstractions: A Probabilistic Perspective. CoRR Vaisakh Shaj
2023	A*	`conf`	Multi Time Scale World Models. NeurIPS Vaisakh Shaj, Saleh Gholam Zadeh, Ozan Demir, Luiz R. Douat, Gerhard Neumann
2023	J	`jnl`	Multi Time Scale World Models. CoRR Vaisakh Shaj, Saleh Gholam Zadeh, Ozan Demir, Luiz Ricardo Douat, Gerhard Neumann
2022	—	`conf`	End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. Robotics: Science and Systems Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann
2022	J	`jnl`	End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. CoRR Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann
2022	A*	`conf`	Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. ICLR Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
2022	J	`jnl`	Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. CoRR Vaisakh Shaj, Dieter Buchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
2020	Misc	`conf`	Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRL Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann
2020	J	`jnl`	Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRR Vaisakh Shaj, Philipp Becker, Dieter Buchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann
2020	—	`conf`	Adversarial Fooling Beyond "Flipping the Label". CVPR Workshops Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
2020	J	`jnl`	Adversarial Fooling Beyond "Flipping the Label". CoRR Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
2019	A*	`conf`	Zero-Shot Knowledge Distillation in Deep Networks. ICML Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
2019	J	`jnl`	Zero-Shot Knowledge Distillation in Deep Networks. CoRR Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty
2017	J	`jnl`	Learning Sparse Adversarial Dictionaries For Multi-Class Audio Classification. CoRR Vaisakh Shaj, Puranjoy Bhattacharya
2017	—	`conf`	Learning Sparse Adversarial Dictionaries for Multi-class Audio Classification. ACPR Vaisakh Shaj, Puranjoy Bhattacharya
2016	—	`conf`	Edge-PSO: A recombination operator based PSO algorithm for solving TSP. ICACCI Vaisakh Shaj, P. M. Akhil, S. Asharaf