Konstantinos N. Plataniotis

Full Professor@University of Toronto ·加拿大·OpenReview

研究方向

statistical machine learning · active inference · data distillation · low rank approximation · quantization · compression · color image processing · semantic inference · adaptive systems · discriminant learning · medical imaging · histopathology

6.7

DreamPhase: Offline Imagination and Uncertainty-Guided Planning for Large-Language-Model Agents

ICLR 2026Poster

三作

6.5

CL-DPS: A Contrastive Learning Approach to Blind Nonlinear Inverse Problem Solving via Diffusion Posterior Sampling

ICLR 2026Poster

通讯

6.0

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging

ICLR 2026Poster

通讯

5.3

Echoes of the Visual Past: Test-Time Prompt Tuning with Multi-Scale Visual Memory

ICLR 2026Rejected

5.0

Echoes of the Visual Past: Test-Time Prompt Tuning with Multi-Scale Visual Memory

NeurIPS 2025Rejected

5.5

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

合作者 (20)

Shayan Mohajer Hamidi

3 篇

Guang Li

2 篇

Konstantinos N. Plataniotis

DreamPhase: Offline Imagination and Uncertainty-Guided Planning for Large-Language-Model Agents

CL-DPS: A Contrastive Learning Approach to Blind Nonlinear Inverse Problem Solving via Diffusion Posterior Sampling

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging

Echoes of the Visual Past: Test-Time Prompt Tuning with Multi-Scale Visual Memory

DD-Ranking: Rethinking the Evaluation of Dataset Distillation

FL-GAP: GRAPH-BASED ADAPTIVE PERSONALIZA- TION FOR FEDERATED DEEPFAKE DETECTION

Generative Prompting with Diffusion for Lifelong Continual Adaptation

Understanding Judge Calibration in Multi-Turn Debates

Echoes of the Visual Past: Test-Time Prompt Tuning with Multi-Scale Visual Memory

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity