Anirban Samaddar

According to our database, Anirban Samaddar authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary-Variable-Guided Generative Models.

Arkaprabha Ganguli, Anirban Samaddar, Florian Kéruzoré, Nesar Ramachandra, Julie Bessac, Sandeep Madireddy, Emil M. Constantinescu

CoRR, February, 2026

Multi-task Modeling for Engineering Applications with Sparse Data.

Yigitcan Comlek, R. Murali Krishnan, Sandipp Krishnan Ravi, Amin Moghaddas, Rafael Giorjao, Michael Eff, Anirban Samaddar, Nesar Ramachandra, Sandeep Madireddy, Liping Wang

CoRR, January, 2026

2025

Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation.

Jinhao Liang, Yixuan Sun, Anirban Samaddar, Sandeep Madireddy, Ferdinando Fioretto

CoRR, September, 2025

Efficient Flow Matching using Latent Variables.

Anirban Samaddar, Yixuan Sun, Viktor Nilsson, Sandeep Madireddy

CoRR, May, 2025

Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks.

Anirban Samaddar, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R. Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson

Mach. Learn. Sci. Technol., 2025

2024

REMEDI: Corrective Transformations for Improved Neural Entropy Estimation.

Viktor Nilsson, Anirban Samaddar, Sandeep Madireddy, Pierre Nyquist

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck.

Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash, Taps Maiti, Gustavo de los Campos, Ian Fischer

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck.

Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash

CoRR, 2022