Divyat Mahajan

8 papers · 2020–2025 · 5 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (15) 🔥 Unstoppable · Bronze 🚀 Conference Pioneer

Venues

ICML (4) CLeaR (1) ICLR (1) NeurIPS (1) WACV (1)

Top co-authors

Ioannis Mitliagkas (5) Kartik Ahuja (3) Simon Lacoste-Julien (2) Vasilis Syrgkanis (2) Sébastien Lachapelle (2) Yoshua Bengio (2) Quentin Bertrand (1) Amit Sharma (1) Charles Arnal (1) Shruti Tople (1)

Research topics

Machine Learning (8) Core Methods (5) Learning Types · Machine Learning (4) Application Areas (3) Artificial Intelligence (2) Deep Learning (2) Core AI (2) Learning Types · Deep Learning (1) Models (1) Optimization & Theory (1)

Keywords

representation learning (3) independent component analysis (2) causal inference (2) image generation (1) model selection (1) domain generalization (1) sparse learning (1) supervised learning (1) group lasso (1) adversarial domain adaptation (1) compositional generalization (1) sparse feature learning (1) distribution shift (1) generative model (1) latent representation (1) latent variable (1) disentangled representation (1) structural causal model (1) object-centric learning (1) causal representation learning (1)

Papers

Compositional Risk Minimization ICML 2025 Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation ICLR 2024 Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation NeurIPS 2023 Interventional Causal Representation Learning ICML 2023 Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning ICML 2023 Towards efficient representation identification in supervised learning CLeaR 2022 Domain Generalization using Causal Matching ICML 2021 A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation WACV 2020