Ramesh, Aditya

17 publications

ICLR 2025 Efficient Jailbreak Attack Sequences on Large Language Models via Multi-Armed Bandit-Based Context Switching Aditya Ramesh, Shivam Bhardwaj, Aditya Saibewar, Manohar Kaul

ICML 2024 Sequence Compression Speeds up Credit Assignment in Reinforcement Learning Aditya Ramesh, Kenny John Young, Louis Kirsch, Jürgen Schmidhuber

NeurIPSW 2023 Efficient Value Propagation with the Compositional Optimality Equation Piotr Piękos, Aditya Ramesh, Francesco Faccio, Jürgen Schmidhuber

NeurIPSW 2023 Mindstorms in Natural Language-Based Societies of Mind Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piękos, Aditya Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanić, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber

ICML 2023 The Benefits of Model-Based Generalization in Reinforcement Learning Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber

NeurIPS 2022 Exploring Through Random Curiosity with General Value Functions Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber

ICML 2022 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

ICMLW 2022 General Policy Evaluation and Improvement by Learning to Identify Few but Crucial States Francesco Faccio, Aditya Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber

ICMLW 2022 Goal-Conditioned Generators of Deep Policies Francesco Faccio, Vincent Herrmann, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber

NeurIPSW 2022 The Benefits of Model-Based Generalization in Reinforcement Learning Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber

NeurIPSW 2021 Exploring Through Random Curiosity with General Value Functions Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber

ICML 2021 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, Ilya Sutskever

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

ICML 2020 Distribution Augmentation for Generative Modeling Heewoo Jun, Rewon Child, Mark Chen, John Schulman, Aditya Ramesh, Alec Radford, Ilya Sutskever

NeurIPS 2020 Language Models Are Few-Shot Learners Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D 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 Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei

NeurIPS 2016 Disentangling Factors of Variation in Deep Representation Using Adversarial Training Michael F Mathieu, Junbo Jake Zhao, Junbo Zhao, Aditya Ramesh, Pablo Sprechmann, Yann LeCun