Arnab Kumar Mondal

53 papers A* 11A 5B 1Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PLGC: Pseudo-Labeled Graph Condensation. CoRR Jay Nandy, Arnab Kumar Mondal, Anuj Rathore, Mahesh Chandran
2025	J	`jnl`	Rendering-Aware Reinforcement Learning for Vector Graphics Generation. CoRR Juan A. Rodríguez, Haotian Zhang, Abhay Puri, Aarash Feizi, Rishav Pramanik, Pascal Wichmann, Arnab Kumar Mondal, Mohammad Reza Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2025	A*	`conf`	Spectral State Space Model for Rotation-Invariant Visual Representation Learning. CVPR Sahar Dastani, Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim, Farzad Beizaee, Milad Cheraghalikhani, Arnab Kumar Mondal, Herve Lombaert, Christian Desrosiers
2025	J	`jnl`	Spectral State Space Model for Rotation-Invariant Visual Representation Learning. CoRR Sahar Dastani, Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim, Farzad Beizaee, Milad Cheraghalikhani, Arnab Kumar Mondal, Herve Lombaert, Christian Desrosiers
2025	A*	`conf`	Surprising Effectiveness of pretraining Ternary Language Model at Scale. ICLR Ayush Kaushal, Tejas Vaidhya, Arnab Kumar Mondal, Tejas Pandey, Aaryan Bhagat, Irina Rish
2025	J	`jnl`	Symmetry-Aware Generative Modeling through Learned Canonicalization. CoRR Kusha Sareen, Daniel Levy, Arnab Kumar Mondal, Sékou-Oumar Kaba, Tara Akhound-Sadegh, Siamak Ravanbakhsh
2024	A*	`conf`	Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. ICLR Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh
2024	A*	`conf`	HumMUSS: Human Motion Understanding Using State Space Models. CVPR Arnab Kumar Mondal, Stefano Alletto, Denis Tomè
2024	J	`jnl`	HumMUSS: Human Motion Understanding using State Space Models. CoRR Arnab Kumar Mondal, Stefano Alletto, Denis Tomè
2024	J	`jnl`	Improved Canonicalization for Model Agnostic Equivariance. CoRR Siba Smarak Panigrahi, Arnab Kumar Mondal
2024	J	`jnl`	Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers. CoRR Sanket Gandhi, Atul, Samanyu Mahajan, Vishal Sharma, Rushil Gupta, Arnab Kumar Mondal, Parag Singla
2024	J	`jnl`	SoLAD: Sampling Over Latent Adapter for Few Shot Generation. IEEE Signal Process. Lett. Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh A. P.
2024	—	`conf`	Stochastic Experience-Replay for Graph Continual Learning. LoG Arnab Kumar Mondal, Jay Nandy, Manohar Kaul, Mahesh Chandran
2024	J	`jnl`	Teacher-Guided Graph Contrastive Learning. Trans. Mach. Learn. Res. Jay Nandy, Arnab Kumar Mondal, Manohar Kaul, Prathosh AP
2024	J	`jnl`	Unravelling sleep patterns: Supervised contrastive learning with self-attention for sleep stage classification. Appl. Soft Comput. Chandra Bhushan Kumar, Arnab Kumar Mondal, Manvir Bhatia, Bijaya Ketan Panigrahi, Tapan Kumar Gandhi
2023	J	`jnl`	Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations. IEEE ACM Trans. Comput. Biol. Bioinform. Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP
2023	J	`jnl`	Deep Latent Space Clustering for Detection of Stealthy False Data Injection Attacks Against AC State Estimation in Power Systems. IEEE Trans. Smart Grid Arnab Bhattacharjee, Arnab Kumar Mondal, Ashu Verma, Sukumar Mishra, Tapan Kumar Saha
2023	J	`jnl`	Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. CoRR Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh
2023	A*	`conf`	Equivariance with Learned Canonicalization Functions. ICML Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh
2023	A*	`conf`	Equivariant Adaptation of Large Pretrained Models. NeurIPS Arnab Kumar Mondal, Siba Smarak Panigrahi, Oumar Kaba, Sai Mudumba, Siamak Ravanbakhsh
2023	J	`jnl`	Equivariant Adaptation of Large Pretrained Models. CoRR Arnab Kumar Mondal, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Sai Rajeswar, Siamak Ravanbakhsh
2023	A*	`conf`	Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. ICLR Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP
2023	—	`conf`	Hyperbolic Deep Reinforcement Learning for Continuous Control. Tiny Papers @ ICLR Omar Salemohamed, Edoardo Cetin, Sai Rajeswar, Arnab Kumar Mondal
2023	A*	`conf`	Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. EMNLP Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Dinesh Garg, Parag Singla
2023	J	`jnl`	Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. CoRR Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg
2023	A	`conf`	Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. AISTATS Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP
2023	J	`jnl`	SSDMM-VAE: variational multi-modal disentangled representation learning. Appl. Intell. Arnab Kumar Mondal, Ajay Sailopal, Parag Singla, Prathosh AP
2023	J	`jnl`	Self-Supervised Representation Learning-Based OSA Detection Method Using Single-Channel ECG Signals. IEEE Trans. Instrum. Meas. Chandra Bhushan Kumar, Arnab Kumar Mondal, Manvir Bhatia, Bijaya Ketan Panigrahi, Tapan Kumar Gandhi
2022	A*	`conf`	$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay. NeurIPS Kumar Krishna Agrawal, Arnab Kumar Mondal, Arna Ghosh, Blake A. Richards
2022	J	`jnl`	COVID-19 prognosis using limited chest X-ray images. Appl. Soft Comput. Arnab Kumar Mondal
2022	A*	`conf`	EqR: Equivariant Representations for Data-Efficient Reinforcement Learning. ICML Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi, Siamak Ravanbakhsh
2022	J	`jnl`	Equivariance with Learned Canonicalization Functions. CoRR Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh
2022	J	`jnl`	ImAiR : Airwriting Recognition framework using Image Representation of IMU Signals. CoRR Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.
2022	J	`jnl`	Investigating Power laws in Deep Representation Learning. CoRR Arna Ghosh, Arnab Kumar Mondal, Kumar Krishna Agrawal, Blake A. Richards
2022	A*	`conf`	Structuring Representations Using Group Invariants. NeurIPS Mehran Shakerinava, Arnab Kumar Mondal, Siamak Ravanbakhsh
2022	J	`jnl`	Transformation Coding: Simple Objectives for Equivariant Representations. CoRR Mehran Shakerinava, Arnab Kumar Mondal, Siamak Ravanbakhsh
2022	J	`jnl`	scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
2021	A	`conf`	FlexAE: flexibly learning latent priors for wasserstein auto-encoders. UAI Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh
2021	A	`conf`	Mini-batch Similarity Graphs for Robust Image Classification. BMVC Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi
2021	J	`jnl`	Mini-batch graphs for robust image classification. CoRR Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi
2021	J	`jnl`	SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition. CoRR Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar, Prathosh A. P.
2021	J	`jnl`	ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data. CoRR Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
2020	A	`conf`	C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. UAI Arnab Kumar Mondal, Arnab Bhattacharjee, Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan, Prathosh A. P.
2020	J	`jnl`	C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. CoRR Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Sreeram Kannan, Himanshu Asnani, Prathosh AP
2020	J	`jnl`	Group Equivariant Deep Reinforcement Learning. CoRR Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi
2020	A	`conf`	MaskAAE: Latent space optimization for Adversarial Auto-Encoders. UAI Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P.
2020	J	`jnl`	RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns. CoRR Arnab Kumar Mondal, Prathosh A. P.
2020	J	`jnl`	To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs. CoRR Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP
2019	J	`jnl`	Revisiting CycleGAN for semi-supervised segmentation. CoRR Arnab Kumar Mondal, Aniket Agarwal, Jose Dolz, Christian Desrosiers
2019	J	`jnl`	Towards Latent Space Optimality for Auto-Encoder Based Generative Models. CoRR Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh A. P.
2018	J	`jnl`	Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning. CoRR Arnab Kumar Mondal, Jose Dolz, Christian Desrosiers
2011	—	`conf`	An Improved Multi-Objective Algorithm Based on Decomposition with Fuzzy Dominance for Deployment of Wireless Sensor Networks. SEMCCO (1) Soumyadip Sengupta, Md. Nasir, Arnab Kumar Mondal, Swagatam Das
2011	B	`conf`	An improved Multiobjective Evolutionary Algorithm based on decomposition with fuzzy dominance. IEEE Congress on Evolutionary Computation Mohammed Nasir, Arnab Kumar Mondal, Soumyadip Sengupta, Swagatam Das, Ajith Abraham