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Publication search results
found 94 matches
- 2024
- Aditya Ramesh Sachin, Gopinadhanpillai Gopakumar, Cherukuri Venkata Siva Brahmananda Rao, Sivaraman Nagarajan:
Exploring phosphoryl oxygen basicity in U(VI) complexation: A comparative study from trialkyl phosphate to phosphine oxide. J. Comput. Chem. 45(2): 70-82 (2024) - Anand Jerry George, Lekshmi Ramesh, Aditya Vikram Singh, Himanshu Tyagi:
Continual Mean Estimation Under User-Level Privacy. IEEE J. Sel. Areas Inf. Theory 5: 28-43 (2024) - Aditya A. Ramesh, Kenny John Young, Louis Kirsch, Jürgen Schmidhuber:
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. ICML 2024 - Venu Birudu, Tirumalarao Kadiyam, Koteswararao Penumalli, Aditya Japa, Sushma Nirmala Sambatur, Chongyan Gu, Siva Sankar Yellampalli, Ramesh Vaddi:
Negative Capacitance FET 8T SRAM Computing in-Memory based Logic Design for Energy Efficient AI Edge Devices. ISCAS 2024: 1-5 - Aditya Malik, Nalini K. Ratha, Bharat Yalavarthi, Tilak Sharma, Arjun Ramesh Kaushik, Charanjit Jutla:
Confidential and Protected Disease Classifier using Fully Homomorphic Encryption. CoRR abs/2405.02790 (2024) - Aditya A. Ramesh, Kenny Young, Louis Kirsch, Jürgen Schmidhuber:
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. CoRR abs/2405.03878 (2024) - 2023
- Raghunandan Ramesh, Radhakrishna Dodmane, Surendra Shetty, Ganesh Aithal, Monalisa Sahu, Aditya Kumar Sahu:
A Novel and Secure Fake-Modulus Based Rabin-Ӡ Cryptosystem. Cryptogr. 7(3): 44 (2023) - Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Saurav Sharma, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting self-supervised learning methods for surgical computer vision. Medical Image Anal. 88: 102844 (2023) - Renuka Chowdary Bheemana, Aditya Japa, Siva Sankar Yellampalli, Ramesh Vaddi:
Negative capacitance FET based energy efficient and DPA attack resilient ultra-light weight block cipher design. Microelectron. J. 133: 105711 (2023) - Nikola Banovic, Zhuoran Yang, Aditya Ramesh, Alice Liu:
Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-17 (2023) - Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber:
Goal-Conditioned Generators of Deep Policies. AAAI 2023: 7503-7511 - Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar:
Differentiable Agent-based Epidemiology. AAMAS 2023: 1848-1857 - Kenny John Young, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber:
The Benefits of Model-Based Generalization in Reinforcement Learning. ICML 2023: 40254-40276 - Jiayi Chen, Nihal Sharma, Tarannum Khan, Shu Liu, Brian Chang, Aditya Akella, Sanjay Shakkottai, Ramesh K. Sitaraman:
Darwin: Flexible Learning-based CDN Caching. SIGCOMM 2023: 981-999 - 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 Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber:
Mindstorms in Natural Language-Based Societies of Mind. CoRR abs/2305.17066 (2023) - 2022
- Renuka Chowdary Bheemana, Aditya Japa, Siva Sankar Yellampalli, Ramesh Vaddi:
Negative capacitance FETs for energy efficient and hardware secure logic designs. Microelectron. J. 119: 105320 (2022) - Aditya A. Ramesh, Paulo E. Rauber, Michelangelo Conserva, Jürgen Schmidhuber:
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits. Neural Comput. 34(11): 2232-2272 (2022) - Christian Greve, Hobey Tam, Manfred G. Grabherr, Aditya Ramesh, Bart Scheerder, Juha M. Hijmans:
Flexible Machine Learning Algorithms for Clinical Gait Assessment Tools. Sensors 22(13): 4957 (2022) - Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen:
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. ICML 2022: 16784-16804 - Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber:
Exploring through Random Curiosity with General Value Functions. NeurIPS 2022 - Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen:
Hierarchical Text-Conditional Image Generation with CLIP Latents. CoRR abs/2204.06125 (2022) - Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. CoRR abs/2207.00449 (2022) - Francesco Faccio, Aditya A. Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber:
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States. CoRR abs/2207.01566 (2022) - Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber:
Goal-Conditioned Generators of Deep Policies. CoRR abs/2207.01570 (2022) - Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar:
Differentiable Agent-based Epidemiology. CoRR abs/2207.09714 (2022) - Hezekiah J. Branch, Jonathan Rodriguez Cefalu, Jeremy McHugh, Leyla Hujer, Aditya Bahl, Daniel del Castillo Iglesias, Ron Heichman, Ramesh Darwishi:
Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples. CoRR abs/2209.02128 (2022) - Kenny Young, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber:
The Benefits of Model-Based Generalization in Reinforcement Learning. CoRR abs/2211.02222 (2022) - Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber:
Exploring through Random Curiosity with General Value Functions. CoRR abs/2211.10282 (2022) - Anand Jerry George, Lekshmi Ramesh, Aditya Vikram Singh, Himanshu Tyagi:
Continual Mean Estimation Under User-Level Privacy. CoRR abs/2212.09980 (2022) - 2021
- Aditya Japa, Manoj Kumar Majumder, Subhendu Kumar Sahoo, Ramesh Vaddi:
Tunnel FET-based ultra-lightweight reconfigurable TRNG and PUF design for resource-constrained internet of things. Int. J. Circuit Theory Appl. 49(8): 2299-2311 (2021)
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