activity
20172026
most citedSelf-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images

46 citations · 60 across the 27 of their papers we have counts for

collaborators

31 papers

cs.GT2026

Envy-free Allocations with Individual Payments

Robert Bredereck, Eva Deltl, Tanmay Inamdar +2

When an envy-free allocation of indivisible goods does not exist, monetary transfers can restore envy-freeness. Existing work on fair division with subsidies, however, typically as…

cs.GT2026

Envy-Free Allocation of Indivisible Goods under Leontief Preferences

Tanmay Inamdar, Pallavi Jain, Pranjal Pandey

Envy-freeness is a fundamental notion of fairness in the allocation of indivisible goods. In this paper, we study envy-free allocation under Leontief preferences, which model perfe…

cs.GT2026

Reaching Fairness by Reallocating Goods

Robert Bredereck, Eva Deltl, Tanmay Inamdar +3

Fair allocation of indivisible goods has largely been studied under the assumption that no prior allocation exists. Motivated by practical settings with pre-existing (and possibly…

cs.CV2026

Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations

Jonas Klotz, Cassio F. Dantas, Pallavi Jain +2

Sparse autoencoders (SAEs) are increasingly used to extract interpretable concepts from vision and vision language models, yet existing evaluation methods largely rely on proxy met…

cs.GT2026

Bribery's Influence on Ranked Aggregation

Pallavi Jain, Anshul Thakur

Kemeny Consensus is a well-known rank aggregation method in social choice theory. In this method, given a set of rankings, the goal is to find a ranking that minimizes the tota…

cs.CV2026

Data-Centric Benchmark for Label Noise Estimation and Ranking in Remote Sensing Binary Building Segmentation

Keiller Nogueira, Codrut-Andrei Diaconu, Dávid Kerekes +9

High-quality pixel-level annotations are essential for the semantic segmentation of remote sensing imagery. However, such labels are expensive to obtain and often affected by noise…