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ORCIDVaisakh Shaj
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2020 – today
- 2024
[i9]Vaisakh Shaj:
Learning World Models With Hierarchical Temporal Abstractions: A Probabilistic Perspective. CoRR abs/2404.16078 (2024)- [i8]Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann:
Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity. CoRR abs/2411.01342 (2024) - 2023
- [c8]Vaisakh Shaj, Saleh Gholam Zadeh, Ozan Demir, Luiz R. Douat, Gerhard Neumann:
Multi Time Scale World Models. NeurIPS 2023 - [i7]Vaisakh Shaj, Saleh Gholam Zadeh, Ozan Demir, Luiz Ricardo Douat, Gerhard Neumann:
Multi Time Scale World Models. CoRR abs/2310.18534 (2023) - 2022
- [c7]Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann:
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. ICLR 2022 - [c6]Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann:
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. Robotics: Science and Systems 2022 - [i6]Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann:
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. CoRR abs/2205.13804 (2022) - [i5]Vaisakh Shaj, Dieter Buchler, Rohit Sonker, Philipp Becker, Gerhard Neumann:
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. CoRR abs/2206.14697 (2022) - 2020
- [c5]Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann:
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRL 2020: 765-781 - [c4]Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
:
Adversarial Fooling Beyond "Flipping the Label". CVPR Workshops 2020: 3374-3382 - [i4]Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu:
Adversarial Fooling Beyond "Flipping the Label". CoRR abs/2004.12771 (2020) - [i3]Vaisakh Shaj, Philipp Becker, Dieter Buchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann:
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRR abs/2010.10201 (2020)
2010 – 2019
- 2019
- [c3]Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
Zero-Shot Knowledge Distillation in Deep Networks. ICML 2019: 4743-4751 - [i2]Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty:
Zero-Shot Knowledge Distillation in Deep Networks. CoRR abs/1905.08114 (2019) - 2017
- [c2]Vaisakh Shaj, Puranjoy Bhattacharya:
Learning Sparse Adversarial Dictionaries for Multi-class Audio Classification. ACPR 2017: 623-628 - [i1]Vaisakh Shaj, Puranjoy Bhattacharya:
Learning Sparse Adversarial Dictionaries For Multi-Class Audio Classification. CoRR abs/1712.00640 (2017) - 2016
- [c1]Vaisakh Shaj, P. M. Akhil, S. Asharaf:
Edge-PSO: A recombination operator based PSO algorithm for solving TSP. ICACCI 2016: 35-41
Coauthor Index
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