3 papers
cs.AI2026
Learning What to Forget: Distributional Unlearning for LLM Representation Spaces
Pinaki Mohanty, Haoran Tang, Maggie Makar +1
Machine learning systems increasingly face the need to remove the influence of entire data domains, such as toxic language, harmful behavior, or topical content, rather than isolat…
cs.LG2026
Slithering Through Gaps: Capturing Discrete Isolated Modes via Logistic Bridging
Pinaki Mohanty, Ruqi Zhang
High-dimensional and complex discrete distributions often exhibit multimodal behavior due to inherent discontinuities, posing significant challenges for sampling. Gradient-based di…
cs.LG2025
Entropy-Guided Sampling of Flat Modes in Discrete Spaces
Pinaki Mohanty, Riddhiman Bhattacharya, Ruqi Zhang
Sampling from flat modes in discrete spaces is a crucial yet underexplored problem. Flat modes represent robust solutions and have broad applications in combinatorial optimization…