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Publication search results
found 144 matches
- 2024
- Sourav Kumar Sahu
, Swati Kumari, Debomita Ghosh
, Soham Dutta
:
Estimation of Photovoltaic Hosting Capacity Due to the Presence of Diverse Harmonics in an Active Distribution Network. IEEE Access 12: 47868-47879 (2024) - Sohamkumar Chauhan, Damodar Reddy Edla, Vijayasree Boddu, M. Jayanthi Rao, Ramalingaswamy Cheruku
, Soumya Ranjan Nayak, Sheshikala Martha, Kamppa Lavanya, Tsedenya Debebe Nigat:
Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images. BMC Medical Imaging 24(1): 1 (2024) - Soham Bandyopadhyay
, Monalisa Sarma, Debasis Samanta:
Statistical Analysis of Renal Risk Factors and Prediction of Chronic Kidney Disease. SN Comput. Sci. 5(4): 434 (2024) - Abhijit Mishra, Mingda Li, Soham Deo:
SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference. AAAI 2024: 21403-21411 - Debayan Mukherjee
, Atreya Bandyopadhyay
, Soham Datta
, Indrajit Bhattacharya
:
Semantic Annotation of Relational Schemas Using a Probabilistic Generative Model. COMAD/CODS 2024: 127-135 - Soham Deo, Divya Hinge, Omkar Sandip Chavan, Yaxuan Olivia Wang, Mohamed Wiem Mkaouer:
Analyzing Developer-ChatGPT Conversations for Software Refactoring: An Exploratory Study. MSR 2024: 207-211 - Soham Deshmukh, Dareen Alharthi, Benjamin Elizalde, Hannes Gamper, Mahmoud Al Ismail, Rita Singh, Bhiksha Raj, Huaming Wang:
PAM: Prompting Audio-Language Models for Audio Quality Assessment. CoRR abs/2402.00282 (2024) - Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane:
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR abs/2402.02441 (2024) - Soham Deshmukh, Rita Singh, Bhiksha Raj:
Domain Adaptation for Contrastive Audio-Language Models. CoRR abs/2402.09585 (2024) - Soham De, Samuel L. Smith, Anushan Fernando, Aleksandar Botev, George-Cristian Muraru, Albert Gu, Ruba Haroun, Leonard Berrada, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, Arnaud Doucet, David Budden, Yee Whye Teh, Razvan Pascanu, Nando de Freitas, Caglar Gulcehre:
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models. CoRR abs/2402.19427 (2024) - Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz GUStavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas:
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR abs/2404.07839 (2024) - 2023
- Debanjan Konar
, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya
, Attila Cangi, Vaneet Aggarwal:
A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. Appl. Soft Comput. 136: 110099 (2023) - Apoorva Shukla, Pradip Kumar Sadhu, Soham Dutta
, Sourav Kumar Sahu
, Bishwajit Dey:
An island detection approach in 6G paradigm for an active distribution network - A future perspective for next generation smart grids. Comput. Electr. Eng. 111(Part A): 108932 (2023) - Deepraj Chowdhury, Soham Banerjee, Madhushree Sannigrahi, Arka Chakraborty, Anik Das
, Ajoy Dey, Ashutosh Dhar Dwivedi
:
Federated learning based Covid-19 detection. Expert Syst. J. Knowl. Eng. 40(5) (2023) - Pierre Decoodt
, Tan Jun Liang
, Soham Bopardikar
, Hemavathi Santhanam, Alfaxad Eyembe
, Begonya Garcia-Zapirain
, Daniel Sierra-Sosa
:
Hybrid Classical-Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays. J. Imaging 9(7): 128 (2023) - Soham Chattopadhyay
, Arijit Dey
, Pawan Kumar Singh
, Ali Ahmadian
, Ram Sarkar
:
A feature selection model for speech emotion recognition using clustering-based population generation with hybrid of equilibrium optimizer and atom search optimization algorithm. Multim. Tools Appl. 82(7): 9693-9726 (2023) - Siyu Yuan, Jiangjie Chen, Ziquan Fu, Xuyang Ge, Soham Shah, Charles Robert Jankowski, Yanghua Xiao, Deqing Yang:
Distilling Script Knowledge from Large Language Models for Constrained Language Planning. ACL (1) 2023: 4303-4325 - Thomas Krendl Gilbert
, Nathan Lambert
, Sarah Dean
, Tom Zick
, Aaron J. Snoswell
, Soham Mehta
:
Reward Reports for Reinforcement Learning. AIES 2023: 84-130 - Redha Gouicem, Dennis Sprokholt, Jasper Ruehl, Rodrigo C. O. Rocha, Tom Spink
, Soham Chakraborty, Pramod Bhatotia:
Risotto: A Dynamic Binary Translator for Weak Memory Model Architectures. ASPLOS (1) 2023: 107-122 - Soham Bandyopadhyay, Monalisa Sarma, Debasis Samanta:
Cardiac Risk Factors Identification with Hybrid Statistical Approach and Prediction of Cardiovascular Disease with Machine Learning. OCIT 2023: 41-46 - Ananya Samanta, Soham Bandyopadhyay, Debasis Samanta:
Statistical Analyses for Key Risk Factor Identification and Prediction of Chronic Kidney Disease. EMBC 2023: 1-4 - Benjamin Elizalde, Soham Deshmukh, Mahmoud Al Ismail, Huaming Wang:
CLAP Learning Audio Concepts from Natural Language Supervision. ICASSP 2023: 1-5 - Daniel Tompkins, Dimitra Emmanouilidou, Soham Deshmukh, Benjamin Elizalde:
Multi-View Learning for Speech Emotion Recognition with Categorical Emotion, Categorical Sentiment, and Dimensional Scores. ICASSP 2023: 1-5 - Nitin Choudhury, Deepjyoti Deka, Aryan Tewari, Soham Gaur, Satyajit Sarmah, Vangmayee Sharda, Sitesh Gautam:
Malicious Traffic Classification Using Convolutional Neural Network. ICCCNT 2023: 1-7 - Subhadeep Kumar Parai, Tripty Singhadeo, Soham Gain, Amlan Dutta, Arnab Palui, Debraj Chatterjee:
Face Recognition through Landmarks to Find Accurate Distance Between Two Landmarks Using Pythagorean Algorithm. ICCCNT 2023: 1-5 - Antonio Orvieto, Samuel L. Smith, Albert Gu, Anushan Fernando, Çaglar Gülçehre, Razvan Pascanu, Soham De:
Resurrecting Recurrent Neural Networks for Long Sequences. ICML 2023: 26670-26698 - Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, Soham Bhandary, Siddhratha Bhattacharyya, Attila Cangi:
Deep Spiking Quantum Neural Network for Noisy Image Classification. IJCNN 2023: 1-10 - Soham Deshmukh, Benjamin Elizalde, Huaming Wang:
Audio Retrieval with WavText5K and CLAP Training. INTERSPEECH 2023: 2948-2952 - Soham Deshmukh, Benjamin Elizalde, Rita Singh, Huaming Wang:
Pengi: An Audio Language Model for Audio Tasks. NeurIPS 2023 - Debanjan Konar, Erol Gelenbe, Soham Bhandary, Aditya Das Sarma, Attila Cangi:
Random Quantum Neural Networks for Noisy Image Recognition. QCE 2023: 276-277
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