collaborators

6 papers

cs.LG2026

The Query Knows What to Forget: A Second Erase Direction for Linear Attention

Dhruman Gupta, Aritra Das, Debayan Gupta

Linear attention keeps a state of fixed size. At long context, many stored items share this state, and interference between them degrades retrieval. Gated DeltaNet-2 (GDN-2), like…

cs.AI2026

Linearized 2-Simplicial Attention

Aritra Das, Dhruman Gupta, Debayan Gupta

We present a linearized form of 2-simplicial attention by rewriting the trilinear score as an inner product between a composite query and a key, so that the sum over one token axis…

cs.LG2026

AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret

Saptarishi Dhanuka, Sarvesh Iyer, Manmeet Singh +5

Recent advances in machine learning have produced probabilistic weather forecasting models comparable to state-of-the-art numerical weather predictors. But no model consistently do…

cs.LG2026

Generating DDPM-based Samples from Tilted Distributions

Himadri Mandal, Dhruman Gupta, Rushil Gupta +5

Given independent samples from a -dimensional probability distribution, our aim is to generate diffusion-based samples from a distribution obtained by tilting the original,…

cs.LG2026

Joint 3D Gravity and Magnetic Inversion via Rectified Flow and Ginzburg-Landau Guidance

Dhruman Gupta, Yashas Shende, Aritra Das +2

Subsurface ore detection is of paramount importance given the rising depletion of shallow mineral resources in recent years. It is crucial to explore approaches that go beyond the…

math.ST2025

Fundamental limits for weighted empirical approximations of tilted distributions

Sarvesh Ravichandran Iyer, Himadri Mandal, Dhruman Gupta +5

Consider the task of generating samples from a tilted distribution of a random vector whose underlying distribution is unknown, but samples from it are available. This finds applic…