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ORCIDPratyush Kumar
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j16]Hai Quang Dinh, Atul Gaur, Pratyush Kumar, Manoj Kumar Singh, Abhay Kumar Singh:
Cyclic codes over rings of matrices. Adv. Math. Commun. 18(4): 1100-1122 (2024)- [c76]Tahir Javed, Janki Nawale, Eldho Ittan George, Sakshi Joshi, Kaushal Santosh Bhogale, Deovrat Mehendale, Ishvinder Virender Sethi, Aparna Ananthanarayanan, Hafsah Faquih, Pratiti Palit, Sneha Ravishankar, Saranya Sukumaran, Tripura Panchagnula, Sunjay Murali, Kunal Sharad Gandhi, Ambujavalli R, Manickam K. M, C. Venkata Vaijayanthi, Krishnan Srinivasa Raghavan Karunganni, Pratyush Kumar, Mitesh M. Khapra:
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages. ACL (Findings) 2024: 10740-10782 - [c75]Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad B, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M. Khapra:
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. ACL (1) 2024: 15831-15879 - [i44]Tahir Javed, Janki Atul Nawale, Eldho Ittan George, Sakshi Joshi, Kaushal Santosh Bhogale, Deovrat Mehendale, Ishvinder Virender Sethi, Aparna Ananthanarayanan, Hafsah Faquih, Pratiti Palit, Sneha Ravishankar, Saranya Sukumaran, Tripura Panchagnula, Sunjay Murali, Kunal Sharad Gandhi, Ambujavalli R, Manickam K. M, C. Venkata Vaijayanthi, Krishnan Srinivasa Raghavan Karunganni, Pratyush Kumar, Mitesh M. Khapra:
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages. CoRR abs/2403.01926 (2024) - [i43]Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad G, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M. Khapra:
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. CoRR abs/2403.06350 (2024) - [i42]Pratyush Kumar, Kuber Vijaykumar Bellad, Bharat Vadlamudi, Aman Chadha:
RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering. CoRR abs/2408.12369 (2024) - [i41]Kaushal Santosh Bhogale, Deovrat Mehendale, Niharika Parasa, Sathish Kumar Reddy G, Tahir Javed, Pratyush Kumar, Mitesh M. Khapra:
Empowering Low-Resource Language ASR via Large-Scale Pseudo Labeling. CoRR abs/2408.14026 (2024) - 2023
- [j15]Pratyush Kumar
, James B. Rawlings:
Structured nonlinear process modeling using neural networks and application to economic optimization. Comput. Chem. Eng. 177: 108314 (2023) - [j14]Pratyush Kumar, James B. Rawlings:
Unconstrained feedback controller design using Q-learning from noisy process data. Comput. Chem. Eng. 177: 108325 (2023) - [j13]Jay P. Gala, Pranjal A. Chitale, Raghavan AK, Varun Gumma, Sumanth Doddapaneni, Aswanth Kumar M., Janki Atul Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre, Anoop Kunchukuttan:
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. Trans. Mach. Learn. Res. 2023 (2023) - [c74]Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Pratyush Kumar, Anoop Kunchukuttan, Mitesh M. Khapra:
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages. AAAI 2023: 12942-12950 - [c73]Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan:
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. ACL (1) 2023: 10441-10456 - [c72]Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar:
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages. ACL (1) 2023: 12402-12426 - [c71]Ananya B. Sai, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre:
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages. ACL (1) 2023: 14210-14228 - [c70]Anant Mittal, Meghna Gupta, Roshni Poddar, Tarini Naik, Seethalakshmi Kuppuraj, James Fogarty, Pratyush Kumar, Mohit Jain:
Jod: Examining Design and Implementation of a Videoconferencing Platform for Mixed Hearing Groups. ASSETS 2023: 43:1-43:18 - [c69]Roshni Poddar, Pradyumna YM, Divya Prabha Jayakumar, Tarini Naik, Punyat Tripathi, Nabeel TP, Hemanth Reddy Yeddula, Pratyush Kumar, Mohit Jain, Manohar Swaminathan:
SignIt! An Android Game for Sign Bilingual Play. ASSETS 2023: 56:1-56:4 - [c68]Varun Gumma, Raj Dabre, Pratyush Kumar:
An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models. EAMT 2023: 103-114 - [c67]Yash Madhani, Sushane Parthan, Priyanka Bedekar, Gokul NC, Ruchi Khapra, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users. EMNLP (Findings) 2023: 40-57 - [c66]Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. ICASSP 2023: 1-5 - [c65]Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar:
Towards Building Text-to-Speech Systems for the Next Billion Users. ICASSP 2023: 1-5 - [c64]Advaith Sridhar, Roshni Poddar, Mohit Jain, Pratyush Kumar:
Challenges Faced by the Employed Indian DHH Community. INTERACT (1) 2023: 201-223 - [c63]Kaushal Santosh Bhogale, Sai Sundaresan, Abhigyan Raman, Tahir Javed, Mitesh M. Khapra, Pratyush Kumar:
Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR. INTERSPEECH 2023: 4384-4388 - [c62]Tahir Javed, Sakshi Joshi, Vignesh Nagarajan, Sai Sundaresan, Janki Nawale, Abhigyan Raman, Kaushal Santosh Bhogale, Pratyush Kumar, Mitesh M. Khapra:
Svarah: Evaluating English ASR Systems on Indian Accents. INTERSPEECH 2023: 5087-5091 - [i40]Varun Gumma, Raj Dabre, Pratyush Kumar:
An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models. CoRR abs/2304.09388 (2023) - [i39]Pratyush Kumar:
Large Language Models Humanize Technology. CoRR abs/2305.05576 (2023) - [i38]Kaushal Santosh Bhogale, Sai Sundaresan, Abhigyan Raman, Tahir Javed, Mitesh M. Khapra, Pratyush Kumar:
Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR. CoRR abs/2305.15386 (2023) - [i37]Tahir Javed, Sakshi Joshi, Vignesh Nagarajan, Sai Sundaresan, Janki Nawale, Abhigyan Raman, Kaushal Santosh Bhogale, Pratyush Kumar, Mitesh M. Khapra:
Svarah: Evaluating English ASR Systems on Indian Accents. CoRR abs/2305.15760 (2023) - [i36]Jay P. Gala, Pranjal A. Chitale, Raghavan AK, Sumanth Doddapaneni, Varun Gumma, Aswanth Kumar, Janki Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre, Anoop Kunchukuttan:
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. CoRR abs/2305.16307 (2023) - [i35]Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani:
PwR: Exploring the Role of Representations in Conversational Programming. CoRR abs/2309.09495 (2023) - [i34]Rahul Chand, Yashoteja Prabhu, Pratyush Kumar:
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization. CoRR abs/2312.13211 (2023) - 2022
- [j12]Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, Mayank Jobanputra, Raghavan AK, Ajitesh Sharma, Sujit Sahoo, Harshita Diddee, Mahalakshmi J, Divyanshu Kakwani, Navneet Kumar, Aswin Pradeep, Srihari Nagaraj, Deepak Kumar, Vivek Raghavan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Shantadevi Khapra:
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages. Trans. Assoc. Comput. Linguistics 10: 145-162 (2022) - [j11]Prasanna Karthik Vairam, Pratyush Kumar, Chester Rebeiro, V. Kamakoti:
FadingBF: A Bloom Filter With Consistent Guarantees for Online Applications. IEEE Trans. Computers 71(1): 40-52 (2022) - [j10]Vinod Ganesan, Pratyush Kumar:
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge. ACM Trans. Embed. Comput. Syst. 21(6): 72:1-72:29 (2022) - [c61]Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Towards Building ASR Systems for the Next Billion Users. AAAI 2022: 10813-10821 - [c60]Emil Biju, Anirudh Sriram, Pratyush Kumar, Mitesh M. Khapra:
Input-specific Attention Subnetworks for Adversarial Detection. ACL (Findings) 2022: 31-44 - [c59]Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar:
IndicBART: A Pre-trained Model for Indic Natural Language Generation. ACL (Findings) 2022: 1849-1863 - [c58]Prem Selvaraj, Gokul N. C., Pratyush Kumar, Mitesh M. Khapra:
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages. ACL (1) 2022: 2114-2133 - [c57]Divy Thakkar, Azra Ismail, Pratyush Kumar, Alex Hanna, Nithya Sambasivan, Neha Kumar:
When is Machine Learning Data Good?: Valuing in Public Health Datafication. CHI 2022: 322:1-322:16 - [c56]Aman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra, Pratyush Kumar:
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. EMNLP 2022: 5363-5394 - [c55]Gokul NC, Manideep Ladi, Sumit Negi, Prem Selvaraj, Pratyush Kumar, Mitesh M. Khapra:
Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets. NeurIPS 2022 - [i33]Aman Kumar, Himani Shrotriya, Prachi Sahu, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Amogh Mishra, Mitesh M. Khapra, Pratyush Kumar:
IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. CoRR abs/2203.05437 (2022) - [i32]Emil Biju, Anirudh Sriram, Pratyush Kumar, Mitesh M. Khapra:
Input-specific Attention Subnetworks for Adversarial Detection. CoRR abs/2203.12298 (2022) - [i31]Emil Biju, Anirudh Sriram, Mitesh M. Khapra, Pratyush Kumar:
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages. CoRR abs/2203.14049 (2022) - [i30]Yash Madhani, Sushane Parthan, Priyanka Bedekar, Ruchi Khapra, Vivek Seshadri, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Aksharantar: Towards building open transliteration tools for the next billion users. CoRR abs/2205.03018 (2022) - [i29]Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages. CoRR abs/2208.11761 (2022) - [i28]Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. CoRR abs/2208.12666 (2022) - [i27]Vinod Ganesan, Anwesh Bhattacharya, Pratyush Kumar, Divya Gupta, Rahul Sharma, Nishanth Chandran:
Efficient ML Models for Practical Secure Inference. CoRR abs/2209.00411 (2022) - [i26]Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar:
Towards Building Text-To-Speech Systems for the Next Billion Users. CoRR abs/2211.09536 (2022) - [i25]Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar:
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages. CoRR abs/2212.05409 (2022) - [i24]Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan:
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. CoRR abs/2212.10168 (2022) - [i23]Ananya B. Sai, Vignesh Nagarajan, Tanay Dixit, Raj Dabre, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages. CoRR abs/2212.10180 (2022) - 2021
- [j9]Pratyush Kumar, James B. Rawlings, Stephen J. Wright:
Industrial, large-scale model predictive control with structured neural networks. Comput. Chem. Eng. 150: 107291 (2021) - [c54]Pritha Ganguly, Nitesh S. Methani, Mitesh M. Khapra, Pratyush Kumar:
A Systematic Evaluation of Object Detection Networks for Scientific Plots. AAAI 2021: 1379-1387 - [c53]Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT. AAAI 2021: 13613-13621 - [c52]Aebel Joe Shibu, Sadhana S, Shilpa N, Pratyush Kumar:
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning. AIMLSystems 2021: 16:1-16:7 - [c51]Surya Selvam, Vinod Ganesan, Pratyush Kumar:
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays. DATE 2021: 651-656 - [i22]Pratyush Kumar, Aishwarya Das, Debayan Gupta:
Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem. CoRR abs/2101.08486 (2021) - [i21]Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT. CoRR abs/2101.09115 (2021) - [i20]Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, Mayank Jobanputra, Raghavan AK, Ajitesh Sharma, Sujit Sahoo, Harshita Diddee, Mahalakshmi J, Divyanshu Kakwani, Navneet Kumar, Aswin Pradeep, Deepak Kumar, Vivek Raghavan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Shantadevi Khapra:
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages. CoRR abs/2104.05596 (2021) - [i19]Surya Selvam, Vinod Ganesan, Pratyush Kumar:
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays. CoRR abs/2105.13434 (2021) - [i18]Sumanth Doddapaneni, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
A Primer on Pretrained Multilingual Language Models. CoRR abs/2107.00676 (2021) - [i17]Aebel Joe Shibu, Sadhana S, Shilpa N, Pratyush Kumar:
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning. CoRR abs/2108.03978 (2021) - [i16]Vinod Ganesan, Pratyush Kumar:
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge. CoRR abs/2108.11441 (2021) - [i15]Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar:
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. CoRR abs/2109.02903 (2021) - [i14]Aakriti Budhraja, Madhura Pande, Pratyush Kumar, Mitesh M. Khapra:
On the Prunability of Attention Heads in Multilingual BERT. CoRR abs/2109.12683 (2021) - [i13]Muktabh Mayank Srivastava, Pratyush Kumar:
Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants. CoRR abs/2110.03783 (2021) - [i12]Vinod Ganesan, Gowtham Ramesh, Pratyush Kumar:
SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions. CoRR abs/2110.04711 (2021) - [i11]Prem Selvaraj, Gokul N. C., Pratyush Kumar, Mitesh M. Khapra:
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages. CoRR abs/2110.05877 (2021) - [i10]Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Towards Building ASR Systems for the Next Billion Users. CoRR abs/2111.03945 (2021) - 2020
- [j8]Hai Q. Dinh, Abhay Kumar Singh, Pratyush Kumar, Songsak Sriboonchitta:
Cyclic codes over the ring GR(pe, m)[u]∕〈uk〉. Discret. Math. 343(1): 111543 (2020) - [c50]Emil Biju, Anirudh Sriram, Mitesh M. Khapra, Pratyush Kumar:
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages. COLING 2020: 999-1010 - [c49]Vinod Ganesan, Sanchari Sen, Pratyush Kumar, Neel Gala, Kamakoti Veezhinathan, Anand Raghunathan:
Sparsity-Aware Caches to Accelerate Deep Neural Networks. DATE 2020: 85-90 - [c48]Aakriti Budhraja, Madhura Pande, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
On the weak link between importance and prunability of attention heads. EMNLP (1) 2020: 3230-3235 - [c47]Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar:
iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages. EMNLP (Findings) 2020: 4948-4961 - [c46]Vinod Ganesan, Surya Selvam, Sanchari Sen, Pratyush Kumar, Anand Raghunathan:
A Case for Generalizable DNN Cost Models for Mobile Devices. IISWC 2020: 169-180 - [c45]Advaith Sridhar, Rohith Gandhi Ganesan, Pratyush Kumar, Mitesh M. Khapra:
INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition. ACM Multimedia 2020: 1366-1375 - [c44]Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar:
PlotQA: Reasoning over Scientific Plots. WACV 2020: 1516-1525 - [i9]Pratyush Kumar, Muktabh Mayank Srivastava:
Compact retail shelf segmentation for mobile deployment. CoRR abs/2004.13094 (2020) - [i8]Anoop Kunchukuttan, Divyanshu Kakwani, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar:
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages. CoRR abs/2005.00085 (2020) - [i7]Pritha Ganguly, Nitesh Methani, Mitesh M. Khapra, Pratyush Kumar:
A Systematic Evaluation of Object Detection Networks for Scientific Plots. CoRR abs/2007.02240 (2020) - [i6]Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
On the Importance of Local Information in Transformer Based Models. CoRR abs/2008.05828 (2020)
2010 – 2019
- 2019
- [j7]Rehan Ahmed, Bernhard Buchli, Stefan Draskovic, Lukas Sigrist, Pratyush Kumar, Lothar Thiele:
Optimal Power Management with Guaranteed Minimum Energy Utilization for Solar Energy Harvesting Systems. ACM Trans. Embed. Comput. Syst. 18(4): 30:1-30:26 (2019) - [c43]Mohit Jain, Rohun Tripathi, Ishita Bhansali, Pratyush Kumar:
Automatic Generation and Evaluation of Usable and Secure Audio reCAPTCHA. ASSETS 2019: 355-366 - [c42]Naveen E, Pratyush Kumar:
Checkpointing in Practice for Memory-Efficient Training on the Edge. HPCC/SmartCity/DSS 2019: 2759-2766 - [i5]Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar:
Data Interpretation over Plots. CoRR abs/1909.00997 (2019) - 2018
- [j6]Hai Q. Dinh, Abhay Kumar Singh, Pratyush Kumar, Songsak Sriboonchitta:
On the structure of cyclic codes over the ring Z2s[u]∕〈uk〉. Discret. Math. 341(8): 2243-2275 (2018) - [j5]Mohit Jain, Pratyush Kumar, Ishita Bhansali, Q. Vera Liao, Khai N. Truong, Shwetak N. Patel:
FarmChat: A Conversational Agent to Answer Farmer Queries. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 170:1-170:22 (2018) - [c41]Mohit Jain, Pratyush Kumar, Ramachandra Kota, Shwetak N. Patel:
Evaluating and Informing the Design of Chatbots. Conference on Designing Interactive Systems 2018: 895-906 - [c40]Mohit Jain, Ramachandra Kota, Pratyush Kumar, Shwetak N. Patel:
Convey: Exploring the Use of a Context View for Chatbots. CHI 2018: 468 - [c39]Anup Agarwal, Mohit Jain, Pratyush Kumar, Shwetak N. Patel:
Opportunistic Sensing with MIC Arrays on Smart Speakers for Distal Interaction and Exercise Tracking. ICASSP 2018: 6403-6407 - [c38]Kumar Saurav, Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya:
Algorithm to control power production from solar photovoltaic panels. ISGT 2018: 1-5 - [c37]Pratyush Kumar, Muktabh Mayank Srivastava:
Example Mining for Incremental Learning in Medical Imaging. SSCI 2018: 48-51 - [i4]Pratyush Kumar, Muktabh Mayank Srivastava:
Example Mining for Incremental Learning in Medical Imaging. CoRR abs/1807.08942 (2018) - 2017
- [j4]Marco Zimmerling, Luca Mottola, Pratyush Kumar, Federico Ferrari, Lothar Thiele:
Adaptive Real-Time Communication for Wireless Cyber-Physical Systems. ACM Trans. Cyber Phys. Syst. 1(2): 8:1-8:29 (2017) - [c36]Kumar Saurav, Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya:
Algorithm to Control Power Production from Solar Panels. e-Energy 2017: 254-255 - [c35]Pratyush Kumar, Vijay Arya, Daniel A. Bowden, Larry Kohrmann:
Leveraging DERs to improve the inference of distribution network topology. SmartGridComm 2017: 52-57 - [i3]Muktabh Mayank Srivastava, Pratyush Kumar, Lalit Pradhan, Srikrishna Varadarajan:
Detection of Tooth caries in Bitewing Radiographs using Deep Learning. CoRR abs/1711.07312 (2017) - 2016
- [c34]Sambaran Bandyopadhyay, Ramasuri Narayanam, Pratyush Kumar, Sarvapali D. Ramchurn, Vijay Arya, Iskandarbin Petra:
An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid. AAAI 2016: 3800-3806 - [c33]Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya:
Planning Curtailment of Renewable Generation in Power Grids. ICAPS 2016: 353-357 - [c32]Pratyush Kumar:
A network calculus foundation for smart-grids where demand and supply vary in space and time. e-Energy 2016: 4:1-4:11 - [c31]Nikhil Hooda, Pratyush Kumar, Amar Prakash Azad, Vijay Arya, Mohamad Iskandar Petra:
Combining data with physics to monitor solar panels. e-Energy (Posters) 2016: 7:1-7:2 - [c30]Nikhil Hooda, Amar P. Azad, Pratyush Kumar, Kumar Saurav, Vijay Arya, M. Iskandar Petra:
PV power predictors for condition monitoring. SmartGridComm 2016: 212-217 - [i2]Sukhamoy Pattanayak, Abhay Kumar Singh, Pratyush Kumar:
On Quantum Codes Obtained From Cyclic Codes Over $\mathbb{F}_2+u\mathbb{F}_2+u^2\mathbb{F}_2$. CoRR abs/1601.02328 (2016) - 2015
- [c29]Andreas Tretter, Pratyush Kumar, Lothar Thiele:
Interleaved multi-bank scratchpad memories: a probabilistic description of access conflicts. DAC 2015: 22:1-22:6 - [c28]Pengcheng Huang, Pratyush Kumar, Georgia Giannopoulou, Lothar Thiele:
Run and be safe: mixed-criticality scheduling with temporary processor speedup. DATE 2015: 1329-1334 - [c27]Bernhard Buchli, Pratyush Kumar, Lothar Thiele:
Optimal Power Management with Guaranteed Minimum Energy Utilization for Solar Energy Harvesting Systems. DCOSS 2015: 147-158 - [c26]Lothar Thiele, Pratyush Kumar:
Can real-time systems be chaotic? EMSOFT 2015: 21-30 - [c25]Harshad Khadilkar, Pratyush Kumar, Subendhu Rongali, Sampath Dechu, Pg Mohammad Iskandarbin Pg Hj Petra:
A socially aware incentive strategy for encouraging residential solar uptake in Brunei. SmartGridComm 2015: 545-550 - [i1]Sukhamoy Pattanayak, Abhay Kumar Singh, Pratyush Kumar:
DNA Cyclic Codes Over The Ring $ \F_2[u, v]/\langle u^2-1, v^3-v, uv-vu \rangle$. CoRR abs/1511.03937 (2015) - 2014
- [b1]Pratyush Kumar:
Hard real-time guarantees in cyber-physical systems. ETH Zurich, Zürich, Switzerland, 2014 - [j3]Pratyush Kumar, Lothar Thiele:
Worst-case guarantees on a processor with temperature-based feedback control of speed. ACM Trans. Embed. Comput. Syst. 13(4s): 122:1-122:26 (2014) - [c24]Neil Dhruva, Pratyush Kumar, Georgia Giannopoulou, Lothar Thiele:
Computing a language-based guarantee for timing properties of cyber-physical systems. DATE 2014: 1-6 - [c23]Pratyush Kumar, Hoeseok Yang, Iuliana Bacivarov, Lothar Thiele:
COOLIP: Simple yet effective job allocation for distributed thermally-throttled processors. DATE 2014: 1-4 - [c22]Pengcheng Huang, Pratyush Kumar, Georgia Giannopoulou, Lothar Thiele:
Energy efficient DVFS scheduling for mixed-criticality systems. EMSOFT 2014: 11:1-11:10 - [c21]Pratyush Kumar, Lothar Thiele:
P-YDS algorithm: An optimal extension of YDS algorithm to minimize expected energy for real-time jobs. EMSOFT 2014: 12:1-12:10 - [c20]Andreas Tretter, Harshavardhan Pandit, Pratyush Kumar, Lothar Thiele:
Deterministic memory sharing in Kahn process networks: Ultrasound imaging as a case study. ESTIMedia 2014: 80-89 - [c19]Andres Gomez, Lars Schor, Pratyush Kumar, Lothar Thiele:
SF3P: a framework to explore and prototype hierarchical compositions of real-time schedulers. RSP 2014: 2-8 - 2013
- [j2]Pratyush Kumar, Lothar Thiele:
Behavioural composition constructively built server algorithms. SIGBED Rev. 10(3): 43-48 (2013) - [c18]Pratyush Kumar, Devesh B. Chokshi, Lothar Thiele:
A satisfiability approach to speed assignment for distributed real-time systems. DATE 2013: 749-754 - [c17]Pengcheng Huang, Pratyush Kumar, Nikolay Stoimenov, Lothar Thiele:
Interference Constraint Graph - A new specification for mixed-criticality systems. ETFA 2013: 1-8 - [c16]François Santy, Gurulingesh Raravi, Geoffrey Nelissen, Vincent Nélis, Pratyush Kumar, Joël Goossens, Eduardo Tovar:
Two protocols to reduce the criticality level of multiprocessor mixed-criticality systems. RTNS 2013: 183-192 - 2012
- [c15]Pratyush Kumar, Dip Goswami, Samarjit Chakraborty, Anuradha Annaswamy, Kai Lampka, Lothar Thiele:
A hybrid approach to cyber-physical systems verification. DAC 2012: 688-696 - [c14]Pratyush Kumar, Nikolay Stoimenov, Lothar Thiele:
An Algorithm for Online Reconfiguration of Resource Reservations for Hard Real-Time Systems. ECRTS 2012: 245-254 - [c13]Pratyush Kumar, Lothar Thiele:
Timing Analysis on a Processor with Temperature-Controlled Speed Scaling. IEEE Real-Time and Embedded Technology and Applications Symposium 2012: 77-86 - [c12]Pratyush Kumar, Lothar Thiele:
Quantifying the Effect of Rare Timing Events with Settling-Time and Overshoot. RTSS 2012: 149-160 - 2011
- [c11]Pratyush Kumar, Lothar Thiele:
Thermally optimal stop-go scheduling of task graphs with real-time constraints. ASP-DAC 2011: 123-128 - [c10]Pratyush Kumar, David Atienza:
Run-time adaptable on-chip thermal triggers. ASP-DAC 2011: 255-260 - [c9]Pratyush Kumar, Lothar Thiele:
System-level power and timing variability characterization to compute thermal guarantees. CODES+ISSS 2011: 179-188 - [c8]Pratyush Kumar, Lothar Thiele:
Cool shapers: shaping real-time tasks for improved thermal guarantees. DAC 2011: 468-473 - [c7]Pratyush Kumar, Lothar Thiele:
End-to-End Delay Minimization in Thermally Constrained Distributed Systems. ECRTS 2011: 81-91 - [c6]Pratyush Kumar, Jian-Jia Chen, Lothar Thiele:
Demand bound server: generalized resource reservation for hard real-time systems. EMSOFT 2011: 233-242 - [c5]Christian Fabre, Iuliana Bacivarov, Ananda Basu, Martino Ruggiero, David Atienza, Eric Flamand, Jean-Pierre Krimm, Julien Mottin, Lars Schor, Pratyush Kumar, Hoeseok Yang, Devesh B. Chokshi, Lothar Thiele, Saddek Bensalem, Marius Bozga, Luca Benini, Mohamed M. Sabry, Yusuf Leblebici, Giovanni De Micheli, Diego Melpignano:
PRO3D, Programming for Future 3D Manycore Architectures: Project's Interim Status. FMCO 2011: 277-293 - [c4]Pratyush Kumar, Jian-Jia Chen, Lothar Thiele, Andreas Schranzhofer, Giorgio C. Buttazzo:
Real-Time Analysis of Servers for General Job Arrivals. RTCSA (1) 2011: 251-258 - 2010
- [c3]Pratyush Kumar, David Atienza:
Neural network based on-chip thermal simulator. ISCAS 2010: 1599-1602
2000 – 2009
- 2009
- [c2]Pratyush Kumar, Madhav P. Desai:
Learning based address mapping for improving the performance of memory subsystems. MASCOTS 2009: 1-9 - 2008
- [j1]Pearl Pu, Li Chen, Pratyush Kumar:
Evaluating product search and recommender systems for E-commerce environments. Electron. Commer. Res. 8(1-2): 1-27 (2008) - 2004
- [c1]Pearl Huan Z. Pu, Pratyush Kumar:
Evaluating example-based search tools. EC 2004: 208-217
Coauthor Index
[c76] [c75] [i44] [i43] [i41] [j13] [c74] [c73] [c72] [c71] [c67] [c66] [c65] [c63] [c62] [i38] [i37] [i36] [c61] [c60] [c59] [c58] [c56] [c55] [i33] [i32] [i31] [i30] [i29] [i28] [i26] [i25] [i24] [i23] [c54] [c53] [i21] [i18] [i15] [i14] [i11] [i10] [c50] [c48] [c47] [c45] [c44] [i8] [i7] [i6] [i5]
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