Keyword Search on Form Results. - Aditya Ramesh; S. Sudarshan 001; Purva Joshi (Proc. VLDB Endow., 2011)

CrowdScreen: algorithms for filtering data with humans. - Aditya G. Parameswaran; Hector Garcia-Molina; Hyunjung Park 001; Neoklis Polyzotis; Aditya Ramesh; Jennifer Widom (SIGMOD Conference, 2012)

On brewing fresh espresso: LinkedIn's distributed data serving platform. - Lin Qiao; Kapil Surlaker; Shirshanka Das; Tom Quiggle; Bob Schulman; Bhaskar Ghosh; Antony Curtis; Oliver Seeliger; Zhen Zhang; Aditya Auradkar; Chris Beaver; Gregory Brandt; et al. (SIGMOD Conference, 2013)

Keyword search on form results. - Aditya Ramesh; S. Sudarshan 001; Purva Joshi; Manisha Naik Gaonkar (VLDB J., 2013)

Disentangling factors of variation in deep representation using adversarial training. - Michaël Mathieu; Junbo Jake Zhao; Pablo Sprechmann; Aditya Ramesh; Yann LeCun (NIPS, 2016)

Disentangling factors of variation in deep representations using adversarial training. - Michaël Mathieu; Junbo Jake Zhao; Pablo Sprechmann; Aditya Ramesh; Yann LeCun (CoRR, 2016)

High Availability for VM Placement and a Stochastic Model for Multiple Knapsack. - Bochao Shen; Ravi Sundaram; Alexander Russell; Srinivas Aiyar; Karan Gupta; Abhinay Nagpal; Aditya Ramesh; Himanshu Shukla (ICCCN, 2017)

Automatic seizure detection by modified line length and Mahalanobis distance function. - Anagh Pathak; Aditya Ramesh; Anupam Mitra; Kaushik Kumar Majumdar (Biomed. Signal Process. Control., 2018)

Backpropagation for Implicit Spectral Densities. - Aditya Ramesh; Yann LeCun (CoRR, 2018)

Clustering of Driving Scenarios Using Connected Vehicle Datasets. - Wenshuo Wang 001; Aditya Ramesh; Ding Zhao (CoRR, 2018)

A Spectral Regularizer for Unsupervised Disentanglement. - Aditya Ramesh; Youngduck Choi; Yann LeCun (CoRR, 2018)

Hotspot Mitigations for the Masses. - Fabien Hermenier; Aditya Ramesh; Abhinay Nagpal; Himanshu Shukla; Ramesh Chandra (SoCC, 2019)

Distribution Augmentation for Generative Modeling. - Heewoo Jun; Rewon Child; Mark Chen 003; John Schulman; Aditya Ramesh; Alec Radford; Ilya Sutskever (ICML, 2020)

Language Models are Few-Shot Learners. - 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; et al. (NeurIPS, 2020)

CompressNet: Generative Compression at Extremely Low Bitrates. - Shubham Dash; Giridharan Kumaravelu; Vijayakrishna Naganoor; Suraj Kiran Raman; Aditya Ramesh; Honglak Lee (WACV, 2020)

Scaling Laws for Autoregressive Generative Modeling. - Tom Henighan; Jared Kaplan; Mor Katz; Mark Chen 003; Christopher Hesse; Jacob Jackson; Heewoo Jun; Tom B. Brown; Prafulla Dhariwal; Scott Gray; Chris Hallacy; Benjamin Mann; et al. (CoRR, 2020)

Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories. - Wenshuo Wang 001; Aditya Ramesh; Jiacheng Zhu; Jie Li; Ding Zhao (IEEE Trans. Intell. Veh., 2020)

Learning Transferable Visual Models From Natural Language Supervision. - 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 (ICML, 2021)

Zero-Shot Text-to-Image Generation. - Aditya Ramesh; Mikhail Pavlov; Gabriel Goh; Scott Gray; Chelsea Voss; Alec Radford; Mark Chen 003; Ilya Sutskever (ICML, 2021)

Unsupervised Neural Machine Translation with Generative Language Models Only. - Jesse Michael Han; Igor Babuschkin; Harrison Edwards; Arvind Neelakantan; Tao Xu; Stanislas Polu; Alex Ray; Pranav Shyam; Aditya Ramesh; Alec Radford; Ilya Sutskever (CoRR, 2021)

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. - Alexander Quinn Nichol; Prafulla Dhariwal; Aditya Ramesh; Pranav Shyam; Pamela Mishkin; Bob McGrew; Ilya Sutskever; Mark Chen 003 (ICML, 2022)

Hierarchical Text-Conditional Image Generation with CLIP Latents. - Aditya Ramesh; Prafulla Dhariwal; Alex Nichol; Casey Chu; Mark Chen 003 (CoRR, 2022)

Flexible Machine Learning Algorithms for Clinical Gait Assessment Tools. - Christian Greve; Hobey Tam; Manfred G. Grabherr; Aditya Ramesh; Bart Scheerder; Juha M. Hijmans (Sensors, 2022)

Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust. - Nikola Banovic 001; Zhuoran Yang; Aditya Ramesh; Alice Liu (Proc. ACM Hum. Comput. Interact., 2023)

GPT-4o System Card. - Aaron Hurst; Adam Lerer; Adam P. Goucher; Adam Perelman; Aditya Ramesh; Aidan Clark; AJ Ostrow; Akila Welihinda; Alan Hayes; Alec Radford; Aleksander Madry; Alex Baker-Whitcomb; et al. (CoRR, 2024)

Efficient Jailbreak Attack sequences on Large Language Models via Multi-Armed Bandit-based Context switching. - Aditya Ramesh; Shivam Bhardwaj; Aditya Saibewar; Manohar Kaul (ICLR, 2025)