Arnab Kumar Mondal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
8
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | ICLR | Surprising Effectiveness of pretraining Ternary Language Model at Scale. | Ayush Kaushal, Tejas Vaidhya, Arnab Kumar Mondal, Tejas Pandey, Aaryan Bhagat, Irina Rish |
| 2024 | CVPR | HumMUSS: Human Motion Understanding Using State Space Models. | Arnab Kumar Mondal, Stefano Alletto, Denis Tom |
| 2024 | ICLR | Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. | Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh |
| 2023 | AISTATS | Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. | Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP |
| 2023 | EMNLP | Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. | Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Dinesh Garg, Parag Singla |
| 2023 | ICLR | Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. | Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP |
| 2023 | ICLR | Hyperbolic Deep Reinforcement Learning for Continuous Control. | Omar Salemohamed, Edoardo Cetin, Sai Rajeswar, Arnab Kumar Mondal |
| 2023 | ICML | Equivariance with Learned Canonicalization Functions. | Skou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh |
| 2022 | ICML | EqR: Equivariant Representations for Data-Efficient Reinforcement Learning. | Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi, Siamak Ravanbakhsh |
| 2021 | BMVC | Mini-batch Similarity Graphs for Robust Image Classification. | Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi |
| 2021 | UAI | FlexAE: flexibly learning latent priors for wasserstein auto-encoders. | Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh |
| 2020 | UAI | C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. | Arnab Kumar Mondal, Arnab Bhattacharjee, Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan, Prathosh A. P. |
| 2020 | UAI | MaskAAE: Latent space optimization for Adversarial Auto-Encoders. | Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P. |
| 2011 | CEC | An improved Multiobjective Evolutionary Algorithm based on decomposition with fuzzy dominance. | Mohammed Nasir, Arnab Kumar Mondal, Soumyadip Sengupta, Swagatam Das, Ajith Abraham |