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Saeid Amiri
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2020 – today
- 2024
- [i11]Saeid Amiri, Parisa Zehtabi, Danial Dervovic, Michael Cashmore:
Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization. CoRR abs/2403.09925 (2024) - [i10]Xiaohan Zhang, Zainab Altaweel, Yohei Hayamizu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang:
DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning. CoRR abs/2406.17659 (2024) - 2023
- [j11]Xiaohan Zhang
, Saeid Amiri, Jivko Sinapov, Jesse Thomason, Peter Stone, Shiqi Zhang:
Multimodal embodied attribute learning by robots for object-centric action policies. Auton. Robots 47(5): 505-528 (2023) - [j10]Yan Ding, Xiaohan Zhang, Saeid Amiri, Nieqing Cao, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang:
Integrating action knowledge and LLMs for task planning and situation handling in open worlds. Auton. Robots 47(8): 981-997 (2023) - [c6]Cheng Cui, Saeid Amiri, Yan Ding, Xingyue Zhan, Shiqi Zhang:
Learning to reason about contextual knowledge for planning under uncertainty. UAI 2023: 465-475 - [i9]Xiaohan Zhang, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang:
Grounding Classical Task Planners via Vision-Language Models. CoRR abs/2304.08587 (2023) - [i8]Yan Ding, Xiaohan Zhang, Saeid Amiri, Nieqing Cao, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang:
Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds. CoRR abs/2305.17590 (2023) - 2022
- [j9]Saeid Amiri
, Kishan Chandan
, Shiqi Zhang
:
Reasoning With Scene Graphs for Robot Planning Under Partial Observability. IEEE Robotics Autom. Lett. 7(2): 5560-5567 (2022) - [d1]Saeid Amiri:
SARP. IEEE DataPort, 2022 - [i7]Saeid Amiri, Kishan Chandan, Shiqi Zhang:
Reasoning with Scene Graphs for Robot Planning under Partial Observability. CoRR abs/2202.10432 (2022) - [i6]Yan Ding, Xiaohan Zhang, Saeid Amiri, Nieqing Cao, Hao Yang, Chad Esselink, Shiqi Zhang:
Robot Task Planning and Situation Handling in Open Worlds. CoRR abs/2210.01287 (2022) - 2021
- [j8]S. Ejaz Ahmed, Saeid Amiri, Kjell A. Doksum:
Ensemble Linear Subspace Analysis of High-Dimensional Data. Entropy 23(3): 324 (2021) - [j7]James-A. Goulet, Luong Ha Nguyen, Saeid Amiri:
Tractable Approximate Gaussian Inference for Bayesian Neural Networks. J. Mach. Learn. Res. 22: 251:1-251:23 (2021) - [c5]Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang:
Guiding Robot Exploration in Reinforcement Learning via Automated Planning. ICAPS 2021: 625-633 - 2020
- [c4]Saeid Amiri, Mohammad Shokrolah Shirazi, Shiqi Zhang:
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty. AAAI 2020: 2726-2733 - [i5]James-A. Goulet, Luong Ha Nguyen, Saeid Amiri:
Tractable Approximate Gaussian Inference for Bayesian Neural Networks. CoRR abs/2004.09281 (2020) - [i4]Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Shiqi Zhang, Keiki Takadama:
Guided Dyna-Q for Mobile Robot Exploration and Navigation. CoRR abs/2004.11456 (2020)
2010 – 2019
- 2019
- [c3]Saeid Amiri, Sujay Bajracharya, Cihangir Goktolga, Jesse Thomason, Shiqi Zhang:
Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog. IROS 2019: 744-750 - [i3]Saeid Amiri, Mohammad Shokrolah Shirazi, Shiqi Zhang:
Robot Sequential Decision Making using LSTM-based Learning and Logical-probabilistic Reasoning. CoRR abs/1901.05322 (2019) - [i2]Saeid Amiri, Sujay Bajracharya, Cihangir Goktolga, Jesse Thomason, Shiqi Zhang:
Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog. CoRR abs/1907.03390 (2019) - 2018
- [c2]Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone:
Robot Behavioral Exploration and Multi-modal Perception using Dynamically Constructed Controllers. AAAI Spring Symposia 2018 - [c1]Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone:
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. IJCAI 2018: 4638-4645 - 2017
- [j6]Saeid Amiri
, Reza Modarres, Silvelyn Zwanzig:
Tests of perfect judgment ranking using pseudo-samples. Comput. Stat. 32(4): 1309-1322 (2017) - 2016
- [j5]Bertrand S. Clarke, Saeid Amiri, Jennifer Clarke
:
EnsCat: clustering of categorical data via ensembling. BMC Bioinform. 17: 380 (2016) - 2015
- [i1]Saeid Amiri, Bertrand S. Clarke, Jennifer Clarke
, Hoyt A. Koepke:
A General Hybrid Clustering Technique. CoRR abs/1503.01183 (2015) - 2011
- [j4]Saeid Amiri, Dietrich von Rosen:
On the efficiency of bootstrap method into the analysis contingency table. Comput. Methods Programs Biomed. 104(2): 182-187 (2011) - [j3]Morteza Maghrebi, Ali Abbasi
, Saeid Amiri, Reza Monsefi
, Ahad Harati
:
A collective and abridged lexical query for delineation of nanotechnology publications. Scientometrics 86(1): 15-25 (2011) - 2010
- [j2]Saeid Amiri, Silvelyn Zwanzig
:
An Improvement of the Nonparametric Bootstrap Test for the Comparison of the Coefficient of Variations. Commun. Stat. Simul. Comput. 39(9): 1726-1734 (2010)
2000 – 2009
- 2009
- [j1]Hossein Hassani, Mohammad Zokaei, Dietrich von Rosen, Saeid Amiri, Mansoureh Ghodsi:
Does noise reduction matter for curve fitting in growth curve models? Comput. Methods Programs Biomed. 96(3): 173-181 (2009)
Coauthor Index
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last updated on 2024-07-23 21:01 CEST by the dblp team
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