Aditya Ramesh

30 papers A* 6A 1B 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Efficient Jailbreak Attack sequences on Large Language Models via Multi-Armed Bandit-based Context switching.
ICLR
Aditya Ramesh, Shivam Bhardwaj, Aditya Saibewar, Manohar Kaul
2023 J jnl
Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust.
Proc. ACM Hum. Comput. Interact.
Nikola Banovic, Zhuoran Yang, Aditya Ramesh, Alice Liu
2022 J jnl
Flexible Machine Learning Algorithms for Clinical Gait Assessment Tools.
Sensors
Christian Greve, Hobey Tam, Manfred G. Grabherr, Aditya Ramesh, Bart Scheerder, Juha M. Hijmans
2022 A* conf
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.
ICML
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen
2022 J jnl
Hierarchical Text-Conditional Image Generation with CLIP Latents.
CoRR
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen
2021 J jnl
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.
CoRR
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen
2021 A* conf
Learning Transferable Visual Models From Natural Language Supervision.
ICML
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever
2021 J jnl
Learning Transferable Visual Models From Natural Language Supervision.
CoRR
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever
2021 J jnl
Unsupervised Neural Machine Translation with Generative Language Models Only.
CoRR
Jesse Michael Han, Igor Babuschkin, Harrison Edwards, Arvind Neelakantan, Tao Xu, Stanislas Polu, Alex Ray, Pranav Shyam, Aditya Ramesh, Alec Radford, Ilya Sutskever
2021 A* conf
Zero-Shot Text-to-Image Generation.
ICML
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever
2021 J jnl
Zero-Shot Text-to-Image Generation.
CoRR
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever
2020 J jnl
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories.
IEEE Trans. Intell. Veh.
Wenshuo Wang, Aditya Ramesh, Jiacheng Zhu, Jie Li, Ding Zhao
2020 A conf
CompressNet: Generative Compression at Extremely Low Bitrates.
WACV
Shubham Dash, Giridharan Kumaravelu, Vijayakrishna Naganoor, Suraj Kiran Raman, Aditya Ramesh, Honglak Lee
2020 J jnl
CompressNet: Generative Compression at Extremely Low Bitrates.
CoRR
Suraj Kiran Raman, Aditya Ramesh, Vijayakrishna Naganoor, Shubham Dash, Giridharan Kumaravelu, Honglak Lee
2020 A* conf
Distribution Augmentation for Generative Modeling.
ICML
Heewoo Jun, Rewon Child, Mark Chen, John Schulman, Aditya Ramesh, Alec Radford, Ilya Sutskever
2020 A* conf
Language Models are Few-Shot Learners.
NeurIPS
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei
2020 J jnl
Language Models are Few-Shot Learners.
CoRR
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei
2020 J jnl
Scaling Laws for Autoregressive Generative Modeling.
CoRR
Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish
2019 — conf
Hotspot Mitigations for the Masses.
SoCC
Fabien Hermenier, Aditya Ramesh, Abhinay Nagpal, Himanshu Shukla, Ramesh Chandra
2018 J jnl
A Spectral Regularizer for Unsupervised Disentanglement.
CoRR
Aditya Ramesh, Youngduck Choi, Yann LeCun
2018 J jnl
Automatic seizure detection by modified line length and Mahalanobis distance function.
Biomed. Signal Process. Control.
Anagh Pathak, Aditya Ramesh, Anupam Mitra, Kaushik Kumar Majumdar
2018 J jnl
Backpropagation for Implicit Spectral Densities.
CoRR
Aditya Ramesh, Yann LeCun
2018 J jnl
Clustering of Driving Scenarios Using Connected Vehicle Datasets.
CoRR
Wenshuo Wang, Aditya Ramesh, Ding Zhao
2017 B conf
High Availability for VM Placement and a Stochastic Model for Multiple Knapsack.
ICCCN
Bochao Shen, Ravi Sundaram, Alexander Russell, Srinivas Aiyar, Karan Gupta, Abhinay Nagpal, Aditya Ramesh, Himanshu Shukla
2016 — conf
Disentangling factors of variation in deep representation using adversarial training.
NIPS
Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
2016 J jnl
Disentangling factors of variation in deep representations using adversarial training.
CoRR
Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
2013 J jnl
Keyword search on form results.
VLDB J.
Aditya Ramesh, S. Sudarshan, Purva Joshi, Manisha Naik Gaonkar
2013 — conf
On brewing fresh espresso: LinkedIn's distributed data serving platform.
SIGMOD Conference
Lin Qiao, Kapil Surlaker, Shirshanka Das, Tom Quiggle, Bob Schulman, Bhaskar Ghosh, Antony Curtis, Oliver Seeliger, Zhen Zhang, Aditya Auradkar, Chris Beaver, Gregory Brandt, Mihir Gandhi, Kishore Gopalakrishna, Wai Ip, Swaroop Jagadish, Shi Lu, Alexander Pachev, Aditya Ramesh, Abraham Sebastian, Rupa Shanbhag, Subbu Subramaniam, Yun Sun, Sajid Topiwala, Cuong Tran, Jemiah Westerman, David Zhang
2012 — conf
CrowdScreen: algorithms for filtering data with humans.
SIGMOD Conference
Aditya G. Parameswaran, Hector Garcia-Molina, Hyunjung Park, Neoklis Polyzotis, Aditya Ramesh, Jennifer Widom
2011 J jnl
Keyword Search on Form Results.
Proc. VLDB Endow.
Aditya Ramesh, S. Sudarshan, Purva Joshi