Baturay Saglam

According to our database, Baturay Saglam authored at least 33 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Self-Improving In-Context Learning.

Baturay Saglam, Dionysis Kalogerias

CoRR, May, 2026

Test-Time Safety Alignment.

Baturay Saglam, Dionysis Kalogerias

CoRR, April, 2026

Test-Time Detoxification without Training or Learning Anything.

Baturay Saglam, Dionysis Kalogerias

CoRR, February, 2026

Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report.

Zhuoran Yang, Ed Li, Jianliang He, Aman Priyanshu, Baturay Saglam, Paul Kassianik, Sajana Weerawardhena, Anu Vellore, Blaine Nelson, Neusha Javidnia, Arthur Goldblatt, Fraser Burch, Avi Zohary, Assaf Eisenman, Mahdi Sabbaghi, Supriti Vijay, Rahim Dharssi, Dhruv Kedia, Kojin Oshiba, Yaron Singer, Amin Karbasi

CoRR, January, 2026

2025

Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models.

Supriti Vijay, Aman Priyanshu, Anu Vellore, Baturay Saglam, Amin Karbasi

CoRR, November, 2025

Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents.

Jane H. Lee, Baturay Saglam, Spyridon Pougkakiotis, Amin Karbasi, Dionysis Kalogerias

CoRR, October, 2025

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report.

Sajana Weerawardhena, Paul Kassianik, Blaine Nelson, Baturay Saglam, Anu Vellore, Aman Priyanshu, Supriti Vijay, Massimo Aufiero, Arthur Goldblatt, Fraser Burch, Ed Li, Jianliang He, Dhruv Kedia, Kojin Oshiba, Zhouran Yang, Yaron Singer, Amin Karbasi

CoRR, August, 2025

Large Language Models Encode Semantics in Low-Dimensional Linear Subspaces.

Baturay Saglam, Paul Kassianik, Blaine Nelson, Sajana Weerawardhena, Yaron Singer, Amin Karbasi

CoRR, July, 2025

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report.

Paul Kassianik, Baturay Saglam, Alexander Chen, Blaine Nelson, Anu Vellore, Massimo Aufiero, Fraser Burch, Dhruv Kedia, Avi Zohary, Sajana Weerawardhena, Aman Priyanshu, Adam Swanda, Amy Chang, Hyrum S. Anderson, Kojin Oshiba, Omar Santos, Yaron Singer, Amin Karbasi

CoRR, April, 2025

Learning Task Representations from In-Context Learning.

Baturay Saglam, Zhuoran Yang, Dionysis Kalogerias, Amin Karbasi

CoRR, February, 2025

Large Language Models Encode Semantics and Alignment in Linearly Separable Representations.

Baturay Saglam, Paul Kassianik, Blaine Nelson, Sajana Weerawardhena, Yaron Singer, Amin Karbasi

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Learning Task Representations from In-Context Learning.

Baturay Saglam, Xinyang Hu, Zhuoran Yang, Dionysis Kalogerias, Amin Karbasi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Parameter-Free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients.

Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman Serdar Kozat

Neural Process. Lett., April, 2024

Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction Approach.

Baturay Saglam, Dogan Can Çiçek, Furkan Burak Mutlu, Suleyman S. Kozat

Trans. Mach. Learn. Res., 2024

Compatible Gradient Approximations for Actor-Critic Algorithms.

Baturay Saglam, Dionysis Kalogerias

CoRR, 2024

Actor Prioritized Experience Replay (Abstract Reprint).

Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman S. Kozat

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep intrinsically motivated exploration in continuous control.

Baturay Saglam, Suleyman S. Kozat

Mach. Learn., December, 2023

Actor Prioritized Experience Replay.

Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman S. Kozat

J. Artif. Intell. Res., 2023

Denoising Diffusion Adversarial Models for Unconditional Medical Image Generation.

Onat Dalmaz, Baturay Saglam, Gökberk Elmas, Muhammad Usama Mirza, Tolga Çukur

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

User Feedback-based Online Learning for Intent Classification.

Kaan Gönç, Baturay Saglam, Onat Dalmaz, Tolga Çukur, Suleyman Serdar Kozat, Hamdi Dibeklioglu

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-Aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI.

Baturay Saglam, Doga Gürgünoglu, Suleyman S. Kozat

Proceedings of the IEEE International Conference on Communications, 2023

2022

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning.

Baturay Saglam, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat

CoRR, 2022

Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms.

Baturay Saglam, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat

CoRR, 2022

An Optimistic Approach to the Temporal Difference Error in Off-Policy Actor-Critic Algorithms.

Baturay Saglam, Furkan B. Mutlu, Suleyman S. Kozat

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An Intrinsic Motivation Based Artificial Goal Generation in On-Policy Continuous Control.

Baturay Saglam, Furkan B. Mutlu, Kaan Gonc, Onat Dalmaz, Suleyman S. Kozat

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Unified Intrinsically Motivated Exploration for Off-Policy Learning in Continuous Action Spaces.

Baturay Saglam, Furkan B. Mutlu, Onat Dalmaz, Suleyman S. Kozat

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Improving the Performance of Batch-Constrained Reinforcement Learning in Continuous Action Domains via Generative Adversarial Networks.

Baturay Saglam, Onat Dalmaz, Kaan Gonc, Suleyman S. Kozat

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Face Inpainting with Pre-trained Image Transformers.

Kaan Gonc, Baturay Saglam, Suleyman S. Kozat, Hamdi Dibeklioglu

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Bottleneck Sharing Generative Adversarial Networks for Unified Multi-Contrast MR Image Synthesis.

Onat Dalmaz, Baturay Saglam, Kaan Gönç, Salman Ul Hassan Dar, Tolga Çukur

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021

Parameter-Free Deterministic Reduction of the Estimation Bias in Continuous Control.

Baturay Saglam, Enes Duran, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat

CoRR, 2021

Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods.

Baturay Saglam, Enes Duran, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay.

Dogan Can Çiçek, Enes Duran, Baturay Saglam, Furkan B. Mutlu, Suleyman S. Kozat

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

AWD3: Dynamic Reduction of the Estimation Bias.

Dogan Can Çiçek, Enes Duran, Baturay Saglam, Kagan Kaya, Furkan B. Mutlu, Suleyman S. Kozat

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021