activity
20152026
most citedThe MLP Distribution: A Modified Lognormal Power-Law Model for the Stellar Initial Mass Function

36 citations · 237 across the 33 of their papers we have counts for

collaborators

33 papers

cs.NE2026

An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling

Anif N. Shikder, Ramit Dey, Sayantan Auddy +6

We establish a mathematical correspondence between state space models, a state-of-the-art architecture for capturing long-range dependencies in data, and an exactly solvable nonlin…

cs.RO2026

Combined Constrained Sampling and Reinforcement Learning for Robotic Manipulation

Marc Toussaint, Cornelius V. Braun, Armand Jordana +5

Training non-prehensile manipulation policies in contact-rich settings is a core challenge in robotics. While Reinforcement Learning (RL) has demonstrated its strength in such sett…

astro-ph.EP2025

Inferring Planet and Disk Parameters from Protoplanetary Disk Images Using a Variational Autoencoder

Sayed Shafaat Mahmud, Sayantan Auddy, Neal Turner +1

Dust-continuum observations of many protoplanetary disks reveal rings and gaps that are widely interpreted as evidence of ongoing planet formation. Here we present the first framew…

astro-ph.EP2025

VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars

Sayed Shafaat Mahmud, Sayantan Auddy, Neal Turner +1

We present \textbf{VADER} (Variational Autoencoder for Disks Embedded with Rings), for inferring both planet mass and global disk properties from high-resolution ALMA dust continuu…

cs.RO2025

CrazyMARL: Decentralized Direct Motor Control Policies for Cooperative Aerial Transport of Cable-Suspended Payloads

Viktor Lorentz, Khaled Wahba, Sayantan Auddy +2

Collaborative transportation of cable-suspended payloads by teams of UAVs has the potential to enhance payload capacity, adapt to different payload shapes, and provide built-in com…

cs.LG2025

Trajectory First: A Curriculum for Discovering Diverse Policies

Cornelius V. Braun, Sayantan Auddy, Marc Toussaint

Being able to solve a task in diverse ways makes agents more robust to task variations and less prone to local optima. In this context, constrained diversity optimization has becom…