4 papers
A Missing Latent, Not a Missing Simulator: Radius-Augmented Inference for Real JWST Retrieval
Angshuman Chakravertty, P V V Raj
Amortized simulation-based inference (SBI), which is trained on radiative-transfer simulators, recovers exoplanet atmospheres accurately on synthetic James Webb Space Telescope (JW…
Argus: A Real-EKS Study of When Predicting Spot Interruptions Beats Simple Checkpointing
Angshuman Chakravertty, MD Rayyan
Elastic Compute Cloud (EC2) Spot is 60% to 90% cheaper than On-Demand but can be reclaimed on just a 2-minute notice; for expensive multi-node training this loss can be severe, wit…
VESTIGE: A Knowledge-Guided Masking Strategy for Corruption-Aware Fine-Tuning of Genomic Transformers, Validated on Ancient DNA Reconstruction
Angshuman Chakravertty, Rahul Maheshwari
Standard masked-language-model fine-tuning applies a uniform masking probability across every token position, assuming reconstruction difficulty is position-agnostic. When the degr…
Benchmarking LLMs for Verilog Design Flows
Angshuman Chakravertty, Rahul Koshti, Buddhi Prakash Sharma +1
Large language models (LLMs) show promise in code generation, but their capabilities to produce correct, synthesizable hardware description language (HDL) code still remain to be p…