Zobrazeno 1 - 10
of 3 115
pro vyhledávání: '"Anandkumar A"'
Autor:
Meena Thevarkalam, Sudheeran Kannoth, Vivek Nambiar, Siby Gopinath, Annamma Mathai, Anandkumar Anandakuttan, Sajitha Krishnan, Renjitha Bhaskaran
Publikováno v:
Annals of Indian Academy of Neurology, Vol 26, Iss 5, Pp 663-671 (2023)
Objective: To study the neurological manifestations of glutamic acid decarboxylase (GAD 65) autoimmunity in Indian patients. Methods: Retrospective study conducted in a tertiary care referral hospital in South India. Patients who tested positive for
Externí odkaz:
https://doaj.org/article/65e6359f4aff455ebe8f56a361fdc90f
Autor:
Ding, Mucong, Deng, Chenghao, Choo, Jocelyn, Wu, Zichu, Agrawal, Aakriti, Schwarzschild, Avi, Zhou, Tianyi, Goldstein, Tom, Langford, John, Anandkumar, Anima, Huang, Furong
While generalization over tasks from easy to hard is crucial to profile language models (LLMs), the datasets with fine-grained difficulty annotations for each problem across a broad range of complexity are still blank. Aiming to address this limitati
Externí odkaz:
http://arxiv.org/abs/2409.18433
Autor:
Liu, Shengchao, Yan, Divin, Du, Weitao, Liu, Weiyang, Li, Zhuoxinran, Guo, Hongyu, Borgs, Christian, Chayes, Jennifer, Anandkumar, Anima
Artificial intelligence models have shown great potential in structure-based drug design, generating ligands with high binding affinities. However, existing models have often overlooked a crucial physical constraint: atoms must maintain a minimum pai
Externí odkaz:
http://arxiv.org/abs/2409.10584
Autor:
Shah, Freya, Patti, Taylor L., Berner, Julius, Tolooshams, Bahareh, Kossaifi, Jean, Anandkumar, Anima
Fourier Neural Operators (FNOs) excel on tasks using functional data, such as those originating from partial differential equations. Such characteristics render them an effective approach for simulating the time evolution of quantum wavefunctions, wh
Externí odkaz:
http://arxiv.org/abs/2409.03302
Autor:
Wang, Iria W., Brown, Robin, Patti, Taylor L., Anandkumar, Anima, Pavone, Marco, Yelin, Susanne F.
Quantum computation shows promise for addressing numerous classically intractable problems, such as optimization tasks. Many optimization problems are NP-hard, meaning that they scale exponentially with problem size and thus cannot be addressed at sc
Externí odkaz:
http://arxiv.org/abs/2408.07774
Autor:
Wang, Chuwei, Berner, Julius, Li, Zongyi, Zhou, Di, Wang, Jiayun, Bae, Jane, Anandkumar, Anima
Accurately predicting the long-term behavior of chaotic systems is crucial for various applications such as climate modeling. However, achieving such predictions typically requires iterative computations over a dense spatiotemporal grid to account fo
Externí odkaz:
http://arxiv.org/abs/2408.05177
We introduce Mini-Sequence Transformer (MsT), a simple and effective methodology for highly efficient and accurate LLM training with extremely long sequences. MsT partitions input sequences and iteratively processes mini-sequences to reduce intermedi
Externí odkaz:
http://arxiv.org/abs/2407.15892
Autor:
Sun, Jingtong, Berner, Julius, Richter, Lorenz, Zeinhofer, Marius, Müller, Johannes, Azizzadenesheli, Kamyar, Anandkumar, Anima
The task of sampling from a probability density can be approached as transporting a tractable density function to the target, known as dynamical measure transport. In this work, we tackle it through a principled unified framework using deterministic
Externí odkaz:
http://arxiv.org/abs/2407.07873
Diffusion models have recently achieved success in solving Bayesian inverse problems with learned data priors. Current methods build on top of the diffusion sampling process, where each denoising step makes small modifications to samples from the pre
Externí odkaz:
http://arxiv.org/abs/2407.01521
Autor:
Yang, Jason, Mora, Ariane, Liu, Shengchao, Wittmann, Bruce J., Anandkumar, Anima, Arnold, Frances H., Yue, Yisong
Enzymes are important proteins that catalyze chemical reactions. In recent years, machine learning methods have emerged to predict enzyme function from sequence; however, there are no standardized benchmarks to evaluate these methods. We introduce CA
Externí odkaz:
http://arxiv.org/abs/2406.15669