Sattwik Basu — accepted AI-conference papers

2026

Contrastive Diffusion Guidance for Spatial Inverse Problems

Sattwik Basu, Chaitanya Amballa, Zhongweiyang Xu, Jorge Vančo Sampedro, Srihari Nelakuditi, Romit Roy Choudhury

ICLR 2026poster

We consider the inverse problem of reconstructing the spatial layout of a place, a home floorplan for example, from a user’s movements inside that layout. Direct inversion is ill-posed since many floorplans can explain the same movement trajectories. We adopt a diffusion-based posterior sampler to…

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2025

Can NeRFs "See" without Cameras?

Chaitanya Amballa, Yu-Lin Wei, Sattwik Basu, Zhijian Yang, Mehmet Ergezer, Romit Roy Choudhury

NeurIPS 2025poster

Neural Radiance Fields (NeRFs) have been remarkably successful at synthesizing novel views of 3D scenes by optimizing a volumetric scene function. This scene function models how optical rays bring color information from a 3D object to the camera pixels. Radio frequency (RF) or audio signals can also…

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2025

Estimating Multi-chirp Parameters using Curvature-guided Langevin Monte Carlo

Sattwik Basu, Debottam Dutta, Yu-Lin Wei, Romit Roy Choudhury

ICASSP 2025accepted

This paper considers the problem of estimating chirp parameters from a noisy mixture of chirps. While a rich body of work exists in this area, challenges remain when extending these techniques to chirps of higher order polynomials. We formulate this as a non-convex optimization problem and propose a…

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