Ehsan Hajiramezanali

46 papers A* 13A 1Misc 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions. CoRR Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao
2026	J	`jnl`	DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning. CoRR Chi-Min Chan, Ehsan Hajiramezanali, Xiner Li, Edward De Brouwer, Carl Edwards, Wei Xue, Sirui Han, Yike Guo, Gabriele Scalia
2026	A*	`conf`	RAG-Enhanced Collaborative LLM Agents for Drug Discovery. AAAI Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia
2025	A*	`conf`	Adding Conditional Control to Diffusion Models with Reinforcement Learning. ICLR Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Sun-Yuan Kung, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali
2025	J	`jnl`	Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design. CoRR Xingyu Su, Xiner Li, Masatoshi Uehara, Sunwoo Kim, Yulai Zhao, Gabriele Scalia, Ehsan Hajiramezanali, Tommaso Biancalani, Degui Zhi, Shuiwang Ji
2025	J	`jnl`	RAG-Enhanced Collaborative LLM Agents for Drug Discovery. CoRR Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Chanyoung Park, Gabriele Scalia
2024	J	`jnl`	Adding Conditional Control to Diffusion Models with Reinforcement Learning. CoRR Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali
2024	A*	`conf`	Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models. NeurIPS Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models. CoRR Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Cell Morphology-Guided Small Molecule Generation with GFlowNets. CoRR Stephen Zhewen Lu, Ziqing Lu, Ehsan Hajiramezanali, Tommaso Biancalani, Yoshua Bengio, Gabriele Scalia, Michal Koziarski
2024	A	`conf`	Conformalized Deep Splines for Optimal and Efficient Prediction Sets. AISTATS Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia
2024	A*	`conf`	Feedback Efficient Online Fine-Tuning of Diffusion Models. ICML Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Feedback Efficient Online Fine-Tuning of Diffusion Models. CoRR Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control. CoRR Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Tommaso Biancalani, Sergey Levine
2024	A*	`conf`	GFlowNet Assisted Biological Sequence Editing. NeurIPS Pouya M. Ghari, Alex M. Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, Ehsan Hajiramezanali
2024	J	`jnl`	MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction. CoRR Carl Edwards, Ziqing Lu, Ehsan Hajiramezanali, Tommaso Biancalani, Heng Ji, Gabriele Scalia
2024	J	`jnl`	Score-based Explainability for Graph Representations. Trans. Mach. Learn. Res. Ehsan Hajiramezanali, Sepideh Maleki, Max W. Shen, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia
2024	—	`conf`	Toward the Identifiability of Comparative Deep Generative Models. CLeaR Romain Lopez, Jan-Christian Hütter, Ehsan Hajiramezanali, Jonathan K. Pritchard, Aviv Regev
2024	J	`jnl`	Toward the Identifiability of Comparative Deep Generative Models. CoRR Romain Lopez, Jan-Christian Hütter, Ehsan Hajiramezanali, Jonathan K. Pritchard, Aviv Regev
2023	J	`jnl`	Conformalized Deep Splines for Optimal and Efficient Prediction Sets. CoRR Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia
2023	—	`conf`	Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction. MLCB You Wu, Omid Bazgir, Yongju Lee, Tommaso Biancalani, James Lu, Ehsan Hajiramezanali
2023	A*	`conf`	Towards Understanding and Improving GFlowNet Training. ICML Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani
2023	J	`jnl`	Towards Understanding and Improving GFlowNet Training. CoRR Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani
2022	J	`jnl`	Conditional Diffusion with Less Explicit Guidance via Model Predictive Control. CoRR Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas
2022	A*	`conf`	MoReL: Multi-omics Relational Learning. ICLR Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian
2022	J	`jnl`	MoReL: Multi-omics Relational Learning. CoRR Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian
2022	J	`jnl`	Parameter Averaging for Robust Explainability. CoRR Talip Ucar, Ehsan Hajiramezanali
2022	J	`jnl`	Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19. Ethics Inf. Technol. Saleh Afroogh, Amir Esmalian, Ali Mostafavi, Ali Akbari, Kambiz Rasoulkhani, Shahriar Esmaeili, Ehsan Hajiramezanali
2021	J	`jnl`	Bayesian Graph Contrastive Learning. CoRR Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan
2021	A*	`conf`	SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning. NeurIPS Talip Ucar, Ehsan Hajiramezanali, Lindsay Edwards
2021	J	`jnl`	SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning. CoRR Talip Ucar, Ehsan Hajiramezanali, Lindsay Edwards
2021	J	`jnl`	Tracing app technology: An ethical review in the COVID-19 era and directions for post-COVID-19. CoRR Saleh Afroogh, Amir Esmalian, Ali Mostafavi, Ali Akbari, Kambiz Rasoulkhani, Shahriar Esmaeili, Ehsan Hajiramezanali
2020	A*	`conf`	BayReL: Bayesian Relational Learning for Multi-omics Data Integration. NeurIPS Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	J	`jnl`	BayReL: Bayesian Relational Learning for Multi-omics Data Integration. CoRR Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Xiaoning Qian
2020	A*	`conf`	Bayesian Graph Neural Networks with Adaptive Connection Sampling. ICML Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	J	`jnl`	Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	Misc	`conf`	Semi-Implicit Stochastic Recurrent Neural Networks. ICASSP Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	A Novel Maneuvering Target Tracking Approach by Stochastic Volatility GARCH Model. CoRR Ehsan Hajiramezanali, Seyyed Hamed Fouladi, Hamidreza Amindavar
2019	A*	`conf`	Semi-Implicit Graph Variational Auto-Encoders. NeurIPS Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Semi-Implicit Graph Variational Auto-Encoders. CoRR Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Semi-Implicit Stochastic Recurrent Neural Networks. CoRR Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
2019	A*	`conf`	Variational Graph Recurrent Neural Networks. NeurIPS Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Variational Graph Recurrent Neural Networks. CoRR Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
2018	A*	`conf`	Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data. NeurIPS Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Alireza Karbalayghareh, Mingyuan Zhou, Xiaoning Qian
2018	J	`jnl`	Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data. CoRR Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Alireza Karbalayghareh, Mingyuan Zhou, Xiaoning Qian
2018	—	`conf`	Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. BCB Ehsan Hajiramezanali, Mahdi Imani, Ulisses M. Braga-Neto, Xiaoning Qian, Edward R. Dougherty