Arun Kumar A V

Postdoc, Deakin University

Joined

May 2021

Names

Arun Kumar A V (Preferred)

Arun Kumar Anjanapura Venkatesh

Emails

****@deakin.edu.au (Confirmed)

Personal Links

Career & Education History

Postdoc

Deakin University (deakin.edu.au)

2022 – Present

PhD student

Deakin University (deakin.edu.au)

2018 – 2022

Researcher

Tata Consultancy Services Limited, India (tcs.com)

2013 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Santu Rana

2018 – 2022

PhD Advisor

Alistair Shilton

2018 – 2022

PhD Advisor

Svetha Venkatesh

2018 – 2022

Expertise

Machine Learning

Present

Software Defined Networking

Present

Wireless Communications

Present

Publications

TE-RoboNet: Transfer Enhanced RoboNet for Sample-Efficient Generation of Robot Co-Designs
Kishan Reddy Nagiredla, Arun Kumar A V, Kevin Sebastian Luck, Thommen George Karimpanal, Santu Rana
- EWRL 2025 Poster
- Readers: Everyone
COGENT: Co-design of Robots with GFlowNets
Kishan Reddy Nagiredla, Arun Kumar A V, Thommen George Karimpanal, Kevin Sebastian Luck, Santu Rana
- EWRL 2025 Poster
- Readers: Everyone
RoboNet: A Sample-Efficient Robot Co-Design Generator
Kishan Reddy Nagiredla, Arun Kumar A V, Thommen George Karimpanal, Santu Rana
- CoRL 2024 Workshop MAPoDeL
- Readers: Everyone
ECoDe: A Sample-Efficient Method for Co-Design of Robotic Agents
Kishan Reddy Nagiredla, Buddhika Laknath Semage, Arun Kumar A V, Thommen George Karimpanal, Santu Rana
- CoRL 2024 Workshop MAPoDeL
- Readers: Everyone
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties
Arun Kumar A V, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh
- Submitted to ICLR 2024
- Readers: Everyone
BO-Muse: A human expert and AI teaming framework for accelerated experimental design
Sunil Gupta, Alistair Shilton, Arun Kumar A V, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh
- 2023 (modified: 17 Apr 2023)
- CoRR 2023
- Readers: Everyone
BO-Muse: A Human expert and AI teaming framework for accelerated experimental design
Sunil Gupta, Alistair Shilton, Shannon Ryan, Arun Kumar Anjanapura Venkatesh, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Human-AI Collaborative Bayesian Optimisation
Arun Kumar Anjanapura Venkatesh, Santu Rana, Alistair Shilton, Svetha Venkatesh
- Published: 31 Oct 2022, Last Modified: 13 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
TRF: Learning Kernels with Tuned Random Features
Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh
- 2022 (modified: 17 Apr 2023)
- AAAI 2022
- Readers: Everyone
Kernel Functional Optimisation
Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone

View all 11 publications

Arun Kumar A V

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors