Search Results - "Swaroop, Siddharth"

Cellular and molecular mechanistic insight into the DNA-damaging potential of few-layer graphene in human primary endothelial cells by Sasidharan, Abhilash, PhD, Swaroop, Siddharth, MTech, Chandran, Parwathy, PhD, Nair, Shantikumar, PhD, Koyakutty, Manzoor, PhD

“…Abstract Despite graphene being proposed for a multitude of biomedical applications, there is a dearth in the fundamental cellular and molecular level…”
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Characterization of suspended sediment in Meltwater from Glaciers of Garhwal Himalaya by Srivastava, Deepak, Kumar, Amit, Verma, Akshaya, Swaroop, Siddharth

“…Glacierised basins are significant sources of sediments generated by glacial retreat. Estimation of suspended sediment transfer from glacierised basins is very…”
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Comparative in vivo toxicity, organ biodistribution and immune response of pristine, carboxylated and PEGylated few-layer graphene sheets in Swiss albino mice: A three month study by Sasidharan, Abhilash, Swaroop, Siddharth, Koduri, Chaitanya K., Girish, Chundayil Madathil, Chandran, Parwathy, Panchakarla, L.S., Somasundaram, Vijay H., Gowd, Genekehal S., Nair, Shantikumar, Koyakutty, Manzoor

“…We present a comprehensive 3 month report on the acute and chronic toxicity of intravenously administered (20 mg kg−1) few-layer graphene (FLG) and, its…”
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Analysis of Climate and Melt-runoff in Dunagiri Glacier of Garhwal Himalaya (India) by Srivastava, Deepak, Kumar, Amit, Verma, Akshaya, Swaroop, Siddharth

“…The hydrology of high altitude glacierized basin in Himalaya is complex to understand due to high variability in climate and lack of hydro-meteorological data…”
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Characterization of suspended sediment in Meltwater from Glaciers of Garhwal Himalaya: SUSPENDED SEDIMENT IN MELWATER FROM GLACIERS OF GARHWAL HIMALAYA by Srivastava, Deepak, Kumar, Amit, Verma, Akshaya, Swaroop, Siddharth

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Knowledge-Adaptation Priors by Khan, Mohammad Emtiyaz, Swaroop, Siddharth

“…Humans and animals have a natural ability to quickly adapt to their surroundings, but machine-learning models, when subjected to changes, often require a…”
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Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks by Nofshin, Eura, Swaroop, Siddharth, Pan, Weiwei, Murphy, Susan, Doshi-Velez, Finale

“…Many important behavior changes are ; they require individuals to expend effort over a long period with little immediate gratification. Here, an artificial…”
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Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure by Swaroop, Siddharth, Buçinca, Zana, Gajos, Krzysztof Z, Doshi-Velez, Finale

“…In settings where users both need high accuracy and are time-pressured, such as doctors working in emergency rooms, we want to provide AI assistance that both…”
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Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills by Buçinca, Zana, Swaroop, Siddharth, Paluch, Amanda E, Doshi-Velez, Finale, Gajos, Krzysztof Z

“…People's decision-making abilities often fail to improve or may even erode when they rely on AI for decision-support, even when the AI provides informative…”
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Generalized Variational Continual Learning by Loo, Noel, Swaroop, Siddharth, Turner, Richard E

“…Continual learning deals with training models on new tasks and datasets in an online fashion. One strand of research has used probabilistic regularization for…”
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Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning by Buçinca, Zana, Swaroop, Siddharth, Paluch, Amanda E, Murphy, Susan A, Gajos, Krzysztof Z

“…Imagine if AI decision-support tools not only complemented our ability to make accurate decisions, but also improved our skills, boosted collaboration, and…”
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Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks by Nofshin, Eura, Swaroop, Siddharth, Pan, Weiwei, Murphy, Susan, Doshi-Velez, Finale

“…Many important behavior changes are frictionful; they require individuals to expend effort over a long period with little immediate gratification. Here, an…”
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Modeling Mobile Health Users as Reinforcement Learning Agents by Shin, Eura, Swaroop, Siddharth, Pan, Weiwei, Murphy, Susan, Doshi-Velez, Finale

“…Mobile health (mHealth) technologies empower patients to adopt/maintain healthy behaviors in their daily lives, by providing interventions (e.g. push…”
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Differentially private partitioned variational inference by Heikkilä, Mikko A, Ashman, Matthew, Swaroop, Siddharth, Turner, Richard E, Honkela, Antti

“…Transactions on Machine Learning Research, ISSN 2835-8856, 2023 Learning a privacy-preserving model from sensitive data which are distributed across multiple…”
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Partitioned Variational Inference: A Framework for Probabilistic Federated Learning by Ashman, Matthew, Bui, Thang D, Nguyen, Cuong V, Markou, Stratis, Weller, Adrian, Swaroop, Siddharth, Turner, Richard E

“…The proliferation of computing devices has brought about an opportunity to deploy machine learning models on new problem domains using previously inaccessible…”
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Continual Deep Learning by Functional Regularisation of Memorable Past by Pan, Pingbo, Swaroop, Siddharth, Immer, Alexander, Eschenhagen, Runa, Turner, Richard E, Khan, Mohammad Emtiyaz

“…Continually learning new skills is important for intelligent systems, yet standard deep learning methods suffer from catastrophic forgetting of the past…”
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Differentially Private Federated Variational Inference by Sharma, Mrinank, Hutchinson, Michael, Swaroop, Siddharth, Honkela, Antti, Turner, Richard E

“…In many real-world applications of machine learning, data are distributed across many clients and cannot leave the devices they are stored on. Furthermore,…”
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Practical Deep Learning with Bayesian Principles by Osawa, Kazuki, Swaroop, Siddharth, Jain, Anirudh, Eschenhagen, Runa, Turner, Richard E, Yokota, Rio, Khan, Mohammad Emtiyaz

“…Bayesian methods promise to fix many shortcomings of deep learning, but they are impractical and rarely match the performance of standard methods, let alone…”
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Improving and Understanding Variational Continual Learning by Swaroop, Siddharth, Nguyen, Cuong V, Bui, Thang D, Turner, Richard E

“…In the continual learning setting, tasks are encountered sequentially. The goal is to learn whilst i) avoiding catastrophic forgetting, ii) efficiently using…”
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Partitioned Variational Inference: A unified framework encompassing federated and continual learning by Bui, Thang D, Nguyen, Cuong V, Swaroop, Siddharth, Turner, Richard E

“…Variational inference (VI) has become the method of choice for fitting many modern probabilistic models. However, practitioners are faced with a fragmented…”
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