Pandeva, Teodora

8 publications

ICLR 2026 Forward-Learned Discrete Diffusion: Learning How to Noise to Denoise Faster Grigory Bartosh, Teodora Pandeva, Sushrut Karmalkar, Javier Zazo

ICLR 2026 Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing Iskander Azangulov, Teodora Pandeva, Niranjani Prasad, Javier Zazo, Sushrut Karmalkar

CLeaR 2025 Robust Multi-View Co-Expression Network Inference Teodora Pandeva, Martijs Johannes Jonker, Leendert Hamoen, Joris Mooij, Patrick Forré

AISTATS 2024 Deep Anytime-Valid Hypothesis Testing Teodora Pandeva, Patrick Forré, Aaditya Ramdas, Shubhanshu Shekhar

TMLR 2024 E-Valuating Classifier Two-Sample Tests Teodora Pandeva, Tim Bakker, Christian A. Naesseth, Patrick Forré

NeurIPSW 2024 Robust Multi-View Co-Expression Network Inference Teodora Pandeva, Martijs Johannes Jonker, Leendert Hamoen, Joris Mooij, Patrick Forré

ICLRW 2023 Multi-View Independent Component Analysis for Omics Data Integration Teodora Pandeva, Patrick Forré

UAI 2023 Multi-View Independent Component Analysis with Shared and Individual Sources Teodora Pandeva, Patrick Forré