Eshika Saxena

4 papers · 2022–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10)

Venues

AAAI (1) ACL (1) ICML (1) NeurIPS (1)

Top co-authors

Himabindu Lakkaraju (1) Nicola Cancedda (1) Martin Pawelczyk (1) Chenxi Whitehouse (1) Chirag Agarwal (1) Marinka Zitnik (1) Emily Wenger (1) Bhaktipriya Radharapu (1) Kristin E. Lauter (1) Isha Puri (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Application Areas (2) Core AI (2) Computer Vision (1) Deep Learning (1) Healthcare & Medicine (1) Clinical (1) Core Methods (1) Domain-Specific (1) Learning Types (1) Optimization & Theory (1)

Keywords

benchmark evaluation (1) medical imaging (1) confidence calibration (1) explainable ai (1) feature attribution (1) deep learning (1) uncertainty estimation (1) modular arithmetic (1) post-hoc explanation (1) brier score (1) linear probe (1) vessel segmentation (1) loss regularization (1) preoperative planning (1) breast reconstruction (1) post-quantum cryptography (1) custom data distributions (1) learning with errors (lwe) (1) ml-based attacks (1)

Papers

Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation ACL 2026 Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic ICML 2025 Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers AAAI 2022 OpenXAI: Towards a Transparent Evaluation of Model Explanations NeurIPS 2022