Arnab Kumar Mondal
- Equivariance with Learned Canonicalization Functions
2022/11/11 by Sékou-Oumar Kaba, Arnab Kumar Mondal, Kaba, Sékou-Oumar +7 · 20 citations
Materials Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Morphological variations and asymmetry
- Spectra: Surprising Effectiveness of Pretraining Ternary Language Models at Scale
2024/07/17 by Ayush Kaushal, Kaushal, Ayush, Tejas Vaidhya +9 · 1 voice · 4 citations
Computer Science · #68T30 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.6 #I.2.7 #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
- Equivariant Adaptation of Large Pretrained Models
2023/10/02 by Arnab Kumar Mondal, Mondal, Arnab Kumar, Siba Smarak Panigrahi +7 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Machine Learning in Materials Science #Neural Networks and Applications
- Improved Canonicalization for Model Agnostic Equivariance
2024/05/23 by Siba Smarak Panigrahi, Panigrahi, Siba Smarak, Arnab Kumar Mondal +1 · 4 citations
Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
- HumMUSS: Human Motion Understanding using State Space Models
2024/04/16 by Arnab Kumar Mondal, Mondal, Arnab Kumar, Stefano Alletto +3 · 3 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Time Series Analysis and Forecasting
- Group Equivariant Deep Reinforcement Learning
2020/07/01 by Arnab Kumar Mondal, Pratheeksha Nair, Mondal, Arnab Kumar +3 · 1 citation
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics
- Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
2024/07/03 by Sanket Gandhi, Atul Atul, Gandhi, Sanket +11 · 1 citation
Computer Science · #Advanced Vision and Imaging #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition
- Investigating Power laws in Deep Representation Learning
2022/02/11 by Arna Ghosh, Ghosh, Arna, Arnab Kumar Mondal +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)