Search Results - "Grover, Aditya"

Preparation and characterization of methylene blue nanoparticles for Alzheimer's disease and other tauopathies by Jinwal, Umesh K, Groshev, Anastasia, Zhang, Juan, Grover, Aditya, Sutariya, Vijaykumar B

“…Methylene blue (MB) has been shown to slow down the progression of the Alzheimer's disease (AD) and other tauopathies; however distribution of MB into the…”
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T315I-mutated myeloid sarcoma by Zhang, Yumeng, Swoboda, David M., Grover, Aditya, Nodzon, Lisa, Zhang, Ling, Pinilla-Ibarz, Javier

“…Myeloid Sarcoma (MS) is diagnosed by an extramedullary proliferation of immature granulocytic cells. Its association with chronic myeloid leukemia (CML) is…”
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Closed-loop optimization of fast-charging protocols for batteries with machine learning by Attia, Peter M., Grover, Aditya, Jin, Norman, Severson, Kristen A., Markov, Todor M., Liao, Yang-Hung, Chen, Michael H., Cheong, Bryan, Perkins, Nicholas, Yang, Zi, Herring, Patrick K., Aykol, Muratahan, Harris, Stephen J., Braatz, Richard D., Ermon, Stefano, Chueh, William C.

“…Simultaneously optimizing many design parameters in time-consuming experiments causes bottlenecks in a broad range of scientific and engineering disciplines 1…”
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Brain-Targeted Delivery of Docetaxel by Glutathione-Coated Nanoparticles for Brain Cancer by Grover, Aditya, Hirani, Anjali, Pathak, Yashwant, Sutariya, Vijaykumar

“…Gliomas are some of the most aggressive types of cancers but the blood–brain barrier acts as an obstacle to therapeutic intervention in brain-related diseases…”
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Triamcinolone acetonide nanoparticles incorporated in thermoreversible gels for age-related macular degeneration by Hirani, Anjali, Grover, Aditya, Lee, Yong W., Pathak, Yashwant, Sutariya, Vijaykumar

“…Age-related macular degeneration (AMD) is one of the leading causes of blindness in the US affecting millions yearly. It is characterized by intraocular…”
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Learning to Represent and Reason Under Limited Supervision by Grover, Aditya

“…Natural agents, such as humans, excel at building representations of the world and using them to effectively draw inferences and make decisions. Critically,…”
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LICO: Large Language Models for In-Context Molecular Optimization by Nguyen, Tung, Grover, Aditya

“…Optimizing black-box functions is a fundamental problem in science and engineering. To solve this problem, many approaches learn a surrogate function that…”
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Loss of phosphatase and tensin homolog (PTEN) induces leptin-mediated leptin gene expression: feed-forward loop operating in the lung by Pathak, Ravi Ramesh, Grover, Aditya, Malaney, Prerna, Quarni, Waise, Pandit, Ashish, Allen-Gipson, Diane, Davé, Vrushank

“…Elevated levels of systemic and pulmonary leptin are associated with diseases related to lung injury and lung cancer. However, the role of leptin in lung…”
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Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models by Zhao, Siyan, Grover, Aditya

“…Reinforcement learning presents an attractive paradigm to reason about several distinct aspects of sequential decision making, such as specifying complex…”
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Leaving Reality to Imagination: Robust Classification via Generated Datasets by Bansal, Hritik, Grover, Aditya

“…Recent research on robustness has revealed significant performance gaps between neural image classifiers trained on datasets that are similar to the test set,…”
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Loss of Phosphatase and Tensin Homolog (PTEN) Induces Leptin-mediated Leptin Gene Expression by Pathak, Ravi Ramesh, Grover, Aditya, Malaney, Prerna, Quarni, Waise, Pandit, Ashish, Allen-Gipson, Diane, Davé, Vrushank

“…Elevated levels of systemic and pulmonary leptin are associated with diseases related to lung injury and lung cancer. However, the role of leptin in lung…”
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Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling by Nguyen, Tung, Grover, Aditya

“…Neural Processes (NPs) are a popular class of approaches for meta-learning. Similar to Gaussian Processes (GPs), NPs define distributions over functions and…”
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ROGER: An On-Line Flight Efficiency Monitoring System Using ADS-B Data by Wang, Shen, Grover, Aditya, Mac Namee, Brian, Plantholt, Philip, Lopez-Leones, Javier, Sanchez-Escalonilla, Pablo

“…Flight efficiency indicators reported monthly in the European area by the Performance Review Unit (PRU) help the air traffic management (ATM) community…”
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PopAlign: Population-Level Alignment for Fair Text-to-Image Generation by Li, Shufan, Singh, Harkanwar, Grover, Aditya

“…Text-to-image (T2I) models achieve high-fidelity generation through extensive training on large datasets. However, these models may unintentionally pick up…”
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Probing the Decision Boundaries of In-context Learning in Large Language Models by Zhao, Siyan, Nguyen, Tung, Grover, Aditya

“…In-context learning is a key paradigm in large language models (LLMs) that enables them to generalize to new tasks and domains by simply prompting these models…”
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Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data by Li, Shufan, Singh, Harkanwar, Grover, Aditya

“…In recent years, Transformers have become the de-facto architecture for sequence modeling on text and a variety of multi-dimensional data, such as images and…”
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InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following by Li, Shufan, Singh, Harkanwar, Grover, Aditya

“…The ability to provide fine-grained control for generating and editing visual imagery has profound implications for computer vision and its applications…”
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ExPT: Synthetic Pretraining for Few-Shot Experimental Design by Nguyen, Tung, Agrawal, Sudhanshu, Grover, Aditya

“…Experimental design is a fundamental problem in many science and engineering fields. In this problem, sample efficiency is crucial due to the time, money, and…”
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Group Preference Optimization: Few-Shot Alignment of Large Language Models by Zhao, Siyan, Dang, John, Grover, Aditya

“…Many applications of large language models (LLMs), ranging from chatbots to creative writing, require nuanced subjective judgments that can differ…”
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Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models by Bansal, Hritik, Dang, John, Grover, Aditya

“…Aligning large language models (LLMs) with human values and intents critically involves the use of human or AI feedback. While dense feedback annotations are…”
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