Arnab Kumar Mondal
11 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (25) π Conference Polyglot (6) π Interdisciplinary Bridge
π
Cross-Pollinator
(13)
π
Keyword Champion
(2)
π
Triple Crown
π
Century Club
(11)
π₯
Unstoppable
(5)
Conferences
ICLR (3)
NIPS (3)
ICML (2)
AISTATS (1)
CVPR (1)
UAI (1)
Top co-authors
Research topics
Keywords
representation learning
(4)
latent space
(3)
equivariant representation
(2)
image classification
(1)
graph laplacian
(1)
transfer learning
(1)
vision transformer
(1)
embedding space
(1)
model robustness
(1)
self-supervised learning
(1)
model architecture
(1)
visual representation
(1)
class imbalance
(1)
power-law distribution
(1)
spectral decomposition
(1)
visual representation learning
(1)
generative model
(1)
state space model
(1)
disentangled representation
(1)
feature extraction
(1)
Papers
Spectral State Space Model for Rotation-Invariant Visual Representation Learning
CVPR 2025
Surprising Effectiveness of pretraining Ternary Language Model at Scale
ICLR 2025
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
ICLR 2024
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
ICLR 2023
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders
AISTATS 2023
Equivariant Adaptation of Large Pretrained Models
NIPS 2023
Equivariance with Learned Canonicalization Functions
ICML 2023
$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay
NIPS 2022
Structuring Representations Using Group Invariants
NIPS 2022
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
ICML 2022
FlexAE: flexibly learning latent priors for wasserstein auto-encoders
UAI 2021