Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks von Thakur, Sujay, Lorsung, Cooper, Yacoby, Yaniv, Doshi-Velez, Finale, Pan, Weiwei

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Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks von Thakur, Sujay, Cooper Lorsung, Yacoby, Yaniv, Doshi-Velez, Finale, Pan, Weiwei

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Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS) von Chakraborty, Arijit, Saharia, Manabendra, Chakma, Sumedha, Kumar Pandey, Dharmendra, Niranjan Kumar, Kondapalli, Thakur, Praveen K., Kumar, Sujay, Getirana, Augusto

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Effect of sp hybridization and bond-length disorder on magnetism in amorphous carbon- A first-principles study von Thakur, Balaram, Chandra Shekar, N.V., Chandra, Sharat, Chakravarty, Sujay

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Investigating the effect of thickness on the structural and magnetic properties of carbon thin film von Thakur, Balaram, Kumar, Yogesh, Gupta, Mukul, Deshpande, U.P., Chandra Shekar, N.V., Chakravarty, Sujay

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Evidence of magnetism in RF magnetron sputtered deposited carbon films and investigation of its origin von Thakur, Balaram, Reddy, Surakanti Srinivas, Deshpande, U.P., Amarendra, G., Chakravarty, Sujay

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Consensus Based Indian Guidelines for the Management of Pemphigus Vulgaris and Pemphigus Foliaceous von De, Dipankar, Mehta, Hitaishi, Shah, Shikha, Ajithkumar, Kidangazhiathmana, Barua, Shyamanta, Chandrashekar, Laxmisha, Chatterjee, Manas, Gupta, Vishal, Khandpur, Sujay, Khullar, Geeti, Kolalapudi, Seetharam Anjaneyulu, Kumar, Sheetanshu, Neema, Shekhar, Pandhi, Deepika, Poojary, Shital, Rai, Reena, Rajagopalan, Murlidhar, Rao, Raghavendra, Shah, Bela, Singal, Archana, Thakur, Vishal, Vinay, Keshavamurthy, Aggrawal, Ashutosh, De, Arka, Mukherjee, Soham, Prinja, Shankar, Mahajan, Rahul, Handa, Sanjeev

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Thermal stability of the magnetic moment in amorphous carbon thin film - An experimental and ab-initio study von Thakur, Balaram, Chandra, Sharat, Kumar, Yogesh, Gupta, Mukul, Deshpande, U.P., Shekar, N.V. Chandra, Chakravarty, Sujay

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A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys von Singh, Prateek, Prakash, Satyartha, Naushin, Salwa, Sardana, Viren, Bhatheja, Nitin, Singh, Ajay Pratap, Kumar, Kartik, Gayali, Saurabh, Khan, Raju, Rawat, Birendra Singh, Tallapaka, Karthik Bharadwaj, Kar, Susanta, Bhosale, Vivek, Srivastava, Mrigank, Mugale, Madhav Nilakanth, Katiyar, Shivani, Ishteyaque, Sharmeen, Khanka, Sonu, Rani, Ankita, Promila, Sharma, Jyotsna, Dutta, Mukul, Saurabh, Nishant, Bansal, Deepak, Halami, Prakash M., Peddha, Muthukumar Serva, Veeranna, Ravindra P., Pal, Anirban, Anandasadagopan, Suresh Kumar, Karuppanan, Parimala, Rahman, Syed Nasar, Selvakumar, Gopika, Venkatesan, Subramanian, Karmakar, Malay Kumar, Sardana, Harish Kumar, Kothari, Anamika, Thakur, Anupma, Saifi, Anas, Gupta, Naman, Singh, Yogita, Reddu, Ritu, Gautam, Rizul, Mishra, Anuj, Mishra, Avinash, Padwad, Yogendra, Patial, Vikram, Hallan, Vipin, Singh, Damanpreet, Tirpude, Narendra, Maity, Sujay Krishna, Sistla, Ramakrishna, A, Kiran Kumar, Kumar, B. Vijay, Jamwal, Piyush Singh, Wali, Anshu, Chouhan, Rekha, Sharma, Nancy, Rai, Garima, Irshad, Faisal, Jamwal, Vijay Lakshmi, Khan, Sameer Ullah, Malik, Fayaz, Ghosh, Debashish, Barik, S.K., Satija, Yatendra Kumar, Khan, Md. Tauseef, Kumar, Rashmi, Bhardwaj, Anshu, Sharma, Deepak, Ray chaudhuri, Saumya, Prakash, L., Likhitkar, Bhagyashree, Mohite, Sharada, Patil, Yogita, Kulkarni, Mahesh, Patil, Amita, Samson, Rachel, Vare, Tejas, Dharne, Mahesh, Giri, Ashok, Sastry, G. Narahari, Kalita, Jatin, Phukan, Tridip, Romi, Wahengbam, Bharali, Pankaj, Sahu, Ravi Kumar, Dutta, Prachurjya, Singh, Moirangthem Goutam, Gogoi, Gayatri, Tapadar, Yasmin Begam, Babu, Elapavalooru VSSK, Sukumaran, Rajeev K., Nair, Aishwarya R., Puthiyamadam, Anoop, Valappil, Prajeesh Kooloth, Pillai Prasannakumari, Adrash Velayudhan, Chodankar, Kalpana, Agrawal, Ved Varun, Agrawal, Anurag, Dash, Debasis

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Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2 von Naushin, Salwa, Sardana, Viren, Ujjainiya, Rajat, Bhatheja, Nitin, Kutum, Rintu, Bhaskar, Akash Kumar, Pradhan, Shalini, Prakash, Satyartha, Khan, Raju, Rawat, Birendra Singh, Tallapaka, Karthik Bharadwaj, Anumalla, Mahesh, Chandak, Giriraj Ratan, Lahiri, Amit, Kar, Susanta, Mulay, Shrikant Ramesh, Mugale, Madhav Nilakanth, Srivastava, Mrigank, Khan, Shaziya, Srivastava, Anjali, Tomar, Bhawana, Veerapandian, Murugan, Venkatachalam, Ganesh, Vijayakumar, Selvamani Raja, Agarwal, Ajay, Gupta, Dinesh, Halami, Prakash M, Peddha, Muthukumar Serva, Sundaram, Gopinath M, Veeranna, Ravindra P, Pal, Anirban, Agarwal, Vinay Kumar, Maurya, Anil Ku, Singh, Ranvijay Kumar, Raman, Ashok Kumar, Anandasadagopan, Suresh Kumar, Karuppanan, Parimala, Venkatesan, Subramanian, Sardana, Harish Kumar, Kothari, Anamika, Jain, Rishabh, Thakur, Anupama, Parihar, Devendra Singh, Saifi, Anas, Kaur, Jasleen, Kumar, Virendra, Mishra, Avinash, Gogeri, Iranna, Rayasam, Geethavani, Singh, Praveen, Chakraborty, Rahul, Chaturvedi, Gaura, Karunakar, Pinreddy, Yadav, Rohit, Singhmar, Sunanda, Singh, Dayanidhi, Sarkar, Sharmistha, Bhattacharya, Purbasha, Acharya, Sundaram, Singh, Vandana, Verma, Shweta, Soni, Drishti, Seth, Surabhi, Vashisht, Sakshi, Thakran, Sarita, Fatima, Firdaus, Singh, Akash Pratap, Sharma, Akanksha, Sharma, Babita, Subramanian, Manikandan, Padwad, Yogendra S, Hallan, Vipin, Patial, Vikram, Singh, Damanpreet, Tripude, Narendra Vijay, Chakrabarti, Partha, Maity, Sujay Krishna, Ganguly, Dipyaman, Sarkar, Jit, Ramakrishna, Sistla, Kumar, Balthu Narender, Kumar, Kiran A, Gandhi, Sumit G, Jamwal, Piyush Singh, Chouhan, Rekha, Jamwal, Vijay Lakshmi, Kapoor, Nitika, Ghosh, Debashish, Thakkar, Ghanshyam, Subudhi, Umakanta, Sen, Pradip, Chaudhury, Saumya Ray, Kumar, Rashmi, Gupta, Pawan, Tuli, Amit, Sharma, Deepak, Ringe, Rajesh P, D, Amarnarayan, Kulkarni, Mahesh, Shanmugam, Dhansekaran

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