Mondal, Arnab Kumar

18 publications

NeurIPS 2025 Rendering-Aware Reinforcement Learning for Vector Graphics Generation Juan A. Rodriguez, Haotian Zhang, Abhay Puri, Rishav Pramanik, Aarash Feizi, Pascal Wichmann, Arnab Kumar Mondal, Mohammad Reza Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vazquez, Christopher Pal, Marco Pedersoli

CVPR 2025 Spectral State Space Model for Rotation-Invariant Visual Representation Learning 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

LoG 2025 Stochastic Experience-Replay for Graph Continual Learning Arnab Kumar Mondal, Jay Nandy, Manohar Kaul, Mahesh Chandran

ICLR 2025 Surprising Effectiveness of Pretraining Ternary Language Model at Scale Ayush Kaushal, Tejas Vaidhya, Arnab Kumar Mondal, Tejas Pandey, Aaryan Bhagat, Irina Rish

ICLR 2024 Efficient Dynamics Modeling in Interactive Environments with Koopman Theory Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh

NeurIPSW 2024 Symmetry-Aware Generative Modeling Through Learned Canonicalization Kusha Sareen, Daniel Levy, Arnab Kumar Mondal, Sékou-Oumar Kaba, Tara Akhound-Sadegh, Siamak Ravanbakhsh

TMLR 2024 Teacher-Guided Graph Contrastive Learning Jay Nandy, Arnab Kumar Mondal, Manohar Kaul, Prathosh Ap

ICML 2023 Equivariance with Learned Canonicalization Functions Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh

NeurIPS 2023 Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal, Siba Smarak Panigrahi, Oumar Kaba, Sai Rajeswar Mudumba, Siamak Ravanbakhsh

ICLR 2023 Few-Shot Cross-Domain Image Generation via Inference-Time Latent-Code Learning Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh Ap

AISTATS 2023 Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh Ap

NeurIPS 2022 $\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by Measuring Eigenspectrum Decay Kumar K Agrawal, Arnab Kumar Mondal, Arna Ghosh, Blake Richards

ICML 2022 EqR: Equivariant Representations for Data-Efficient Reinforcement Learning Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi, Siamak Ravanbakhsh

NeurIPSW 2022 Equivariance with Learned Canonicalization Functions Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh

NeurIPSW 2022 Few Shot Generative Domain Adaptation via Inference-Stage Latent Learning in GANs Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh Ap

NeurIPSW 2022 Image Manipulation via Neuro-Symbolic Networks Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg

NeurIPS 2022 Structuring Representations Using Group Invariants Mehran Shakerinava, Arnab Kumar Mondal, Siamak Ravanbakhsh

UAI 2021 FlexAE: Flexibly Learning Latent Priors for Wasserstein Auto-Encoders Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Ap Prathosh