Marttinen, Pekka

1. Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
   2024/05/30 by Alexander V. Nikitin, Nikitin, Alexander, Jannik Kossen +5 · 28 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
2. Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
   2024/05/24 by Nicola Dainese, Matteo Merler, Dainese, Nicola +5 · 8 citations
   Computer Science · #Natural Language Processing Techniques #Software Engineering Research #Speech and dialogue systems
3. Improving Medical Multi-modal Contrastive Learning with Expert Annotations
   2024/03/15 by Yogesh Kumar, Pekka Marttinen, Kumar, Yogesh +1 · 6 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
4. Deep Learning for Depression Recognition with Audiovisual Cues: A Review
   2021/05/27 by Lang He, He, Lang, Mingyue Niu +21 · 3 citations
   Psychology · #Audio and Speech Processing (eess.AS) #Digital Mental Health Interventions #Emotion and Mood Recognition #FOS: Computer and information sciences #FOS: Electrical engineering #Mental Health via Writing #Signal Processing (eess.SP) #Sound (cs.SD) #electronic engineering #information engineering
5. Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics
   2024/05/30 by Alakuijala, Minttu, McLean, Reginald, Woungang, Isaac +4 · 4 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
6. Deconfounded Representation Similarity for Comparison of Neural Networks
   2022/01/31 by Tianyu Cui, Yogesh Kumar, Cui, Tianyu +5 · 2 citations
   Computer Science · Materials Science · #Domain Adaptation and Few-Shot Learning #Topic Modeling #Machine Learning in Materials Science
7. Errors-in-variables Modeling of Personalized Treatment-Response Trajectories
   2019/06/10 by Guangyi Zhang, Reza Ashrafi, Zhang, Guangyi +7 · 1 citation
   Computer Science · Engineering · Mathematics · #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
8. Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations
   2019/05/03 by Järvenpää, Marko, Gutmann, Michael, Vehtari, Aki +1 · 1 citation
   #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
9. Efficient Knowledge Injection in LLMs via Self-Distillation
   2024/12/19 by Kujanpää, Kalle, Marttinen, Pekka, Valpola, Harri +1 · 3 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Beyond the LUMIR challenge: The pathway to foundational registration models
    2025/05/30 by Chen, Junyu, Wei, Shuwen, Honkamaa, Joel +33 · 7 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
11. ViPlan: A Benchmark for Visual Planning with Symbolic Predicates and Vision-Language Models
    2025/05/19 by Matteo Merler, Merler, Matteo, Nicola Dainese +13 · 3 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Robotic Path Planning Algorithms
12. Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
    2023/06/16 by Çağlar Hızlı, Hızlı, Çağlar, St. John +9 · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
13. Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
    2025/02/03 by Minttu Alakuijala, Alakuijala, Minttu, Ya Gao +11 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics