3 papers
cs.LG2026
Mechanistic Evidence for Spectral Structures in Prior-Data Fitted Networks
Kaustubh Sharma, Srijan Tiwari, Ojasva Nema +1
Prior-Data Fitted Networks (PFNs) enable amortized Bayesian inference in a single forward pass, yet their internal representations remain opaque. It is unknown whether PFNs encode…
cs.LG2026
Structural Disentanglement in Bilinear MLPs via Architectural Inductive Bias
Ojasva Nema, Kaustubh Sharma, Aditya Chauhan +1
Selective unlearning and long-horizon extrapolation remain fragile in modern neural networks, even when tasks have underlying algebraic structure. In this work, we argue that these…
cs.CV2025
IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation
Amritanshu Tiwari, Cherish Puniani, Kaustubh Sharma +1
Recent advances in text-to-image diffusion models, particularly Stable Diffusion, have enabled the generation of highly detailed and semantically rich images. However, personalizin…