4 papers
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…
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…
Decoupled-Value Attention for Prior-Data Fitted Networks: GP Inference for Physical Equations
Kaustubh Sharma, Simardeep Singh, Parikshit Pareek
Prior-data fitted networks (PFNs) are a promising alternative to time-consuming Gaussian process (GP) inference for creating fast surrogates of physical systems. PFN reduces the co…
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…