1. Blutinger, J.D., Meijers, Y., Lipson, H. (2019). Selective laser broiling of Atlantic salmon. Food Research International​.
2. ​Kwatkowski, R., Lipson, H. (2019). Task-agnostic self-modeling machines. Science Robotics.
3. Stute, F., Mici, J., Chamberlain, L., Lipson, H. (2018). Digital wood: 3D internal color texture mapping. 3D Printing and Additive Manufacturing, 5 (4), 285-291.
4. Blutinger, J.D., Meijers, Y., Chen, P.Y., Zheng, C., Grinspun, E., & Lipson, H. (2018). Characterization of CO2 laser browning of dough. Innovative Food Science & Emerging Technologies.
5. Hertafeld, E., Zhang, C., Jin, Z., Jakub, A., Russell, K., Lakehal, Y., Andreyeva, K., Bangalore, S.N., Mezquita, J., Blutinger, J.D., Lipson, H. (2018). Multi-material three-dimensional food printing with simultaneous infrared cooking. 3D Printing and Additive Manufacturing.
6. Chen, P.Y., Blutinger, J.D., Meijers, Y., Zheng, C., Grinspun, E., & Lipson, H. (2019). Visual modeling of laser-induced dough browning. Journal of Food Engineering, 243, 9-21.
7. Blutinger, J.D., Meijers, Y., Chen, P.Y., Zheng, C., Grinspun, E., & Lipson, H. (2018). Characterization of dough baked via blue laser. Journal of Food Engineering, 232, 56-64.
8. Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network, O Chang, Y Yao, D Williams-King, H Lipson, arXiv preprint arXiv:1905.09453, 2019
9. Predicting the accuracy of neural networks from final and intermediate layer outputs, C DeChant, S Han, H Lipson
10. Agent Embeddings: A Latent Representation for Pole-Balancing Networks.. O Chang, R Kwiatkowski, S Chen, H Lipson, Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
11. Parallel electrostatic grippers for layered assembly, J Mici, JW Ko, J West, J Jaquith, H Lipson Additive Manufacturing 27, 451-460, 2019
12. Robots on the run, H Lipson Nature, 2019
13. Particle robotics based on statistical mechanics of loosely coupled components S Li, R Batra, D Brown, HD Chang, N Ranganathan, C Hoberman, D Rus, H. Lipson, Nature 567 (7748), 361, 2019 (supporting materials)
14. Conductive Fabric Heaters for Heat-Activated Soft Actuators, M Cartolano, B Xia, A Miriyev, H Lipson Actuators 8 (1), 9, 2019
15. Characterization of CO2 laser browning of dough, JD Blutinger, Y Meijers, PY Chen, C Zheng, E Grinspun, H Lipson, Innovative Food Science & Emerging Technologies 52, 145-157, 2019
16. Multi-material three-dimensional food printing with simultaneous infrared cooking, E Hertafeld, C Zhang, Z Jin, A Jakub, K Russell, Y Lakehal, K Andreyeva, H Lipson,  3D Printing and Additive Manufacturing 6 (1), 13-19, 2019
17. Seven Myths in Machine Learning Research, O Chang, H Lipson arXiv preprint arXiv:1902.06789, 2019
18. Visual modeling of laser-induced dough browning, PY Chen, JD Blutinger, Y Meijers, C Zheng, E Grinspun, H Lipson Journal of food engineering 243, 9-21, 2019
19. Task-agnostic self-modeling machines R Kwiatkowski, H Lipson Science Robotics 4 (26), eaau9354, 2019
20. Digital Wood: 3D Internal Color Texture Mapping F Stute, J Mici, L Chamberlain, H Lipson, 3D Printing and Additive Manufacturing 5 (4), 285-291, 2018,
21. Image set for deep learning: field images of maize annotated with disease symptoms T Wiesner-Hanks, EL Stewart, N Kaczmar, C DeChant, H Wu, RJ Nelson,  BMC research notes 11 (1), 440, 2018
22. Balanced and Deterministic Weight-Sharing Helps Network Performance, O Chang, H Lipson International Conference on Artificial Neural Networks, 41-50, 2018
23. Characterization of dough baked via blue laser, JD Blutinger, Y Meijers, PY Chen, C Zheng, E Grinspun, H Lipson Journal of food engineering 232, 56-64, 2018
24. Autostacker: A compositional evolutionary learning system, B Chen, H Wu, W Mo, I Chattopadhyay, H Lipson, Proceedings of the Genetic and Evolutionary Computation Conference, 402-409, 2018
25. Neural network quine, O Chang, H Lipson, Artificial Life Conference Proceedings, 234-241, 2018
26. Scalable co-optimization of morphology and control in embodied machines, N Cheney, J Bongard, V SunSpiral, H Lipson, Journal of The Royal Society Interface 15 (143), 20170937, 2018
27. Rejuvenation of soft material–actuator, A Miriyev, C Trujillo, G Caires, H Lipson MRS Communications 8 (2), 556-561, 2018
28. Functional properties of silicone/ethanol soft-actuator composites, A Miriyev, G Caires, H Lipson Materials & Design 145, 232-242, 2018
29. All-soft material system for strong soft actuators, RA Bilodeau, A Miriyev, H Lipson, R Kramer-Bottiglio 2018 IEEE International Conference on Soft Robotics (RoboSoft), 288-294, 2018
30. The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ... arXiv preprint arXiv:1803.03453, 2018
31. Autostacker: an Automatic Evolutionary Hierarchical Machine Learning System B Chen, W Mo, I Chattopadhyay, H Lipson
32. Soft material for soft actuators, A Miriyev, K Stack, H Lipson Nature communications 8 (1), 596, 2017
33. Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning C DeChant, T Wiesner-Hanks, S Chen, EL Stewart, J Yosinski, MA Gore, .H Lipson Phytopathology 107 (11), 1426-1432, 2017
34. 1D printing of recyclable robots, D Cellucci, R MacCurdy, H Lipson, S Risi IEEE Robotics and Automation Letters 2 (4), 1964-1971, 2017
35. The JamHand: Dexterous manipulation with minimal actuation, J Amend, H Lipson Soft robotics 4 (1), 70-80, 2017
36. On the evolutionary origin of symbolic communication, P Grouchy, GMT D’Eleuterio, MH Christiansen, H Lipson Scientific reports 6, 34615, 2016
37. Electrically actuated hydraulic solids, JI Lipton, S Angle, RE Banai, E Peretz, H Lipson Advanced Engineering Materials 18 (10), 1710-1715, 2016
38. Driverless: intelligent cars and the road ahead, H Lipson, M Kurman Mit Press, 2016
39. Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design, I Labutov, F Schalekamp, K Luu, H Lipson, C Studer Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
40. 3D printing variable stiffness foams using viscous thread instability JI Lipton, H Lipson Scientific reports 6, 29996, 2016
41. Material properties affect evolutions ability to exploit morphological computation in growing soft-bodied creatures J Bongard, C Laschi, H Lipson, N Cheney, F Corucci Artificial Life Conference Proceedings 13, 234-241, 2016
42. On the difficulty of co-optimizing morphology and control in evolved virtual creatures H Lipson, V Sunspiral, J Bongard, N Cheney
43. Artificial Life Conference Proceedings 13, 226-233, 2016 Topological evolution for embodied cellular automata N Cheney, H Lipson Theoretical Computer Science 633, 19-27, 2016
44. Convergent Learning: Do different neural networks learn the same representations? Y Li, J Yosinski, J Clune, H Lipson, JE Hopcroft Iclr, 2016
45. Haptic edge detection through shear J Platkiewicz, H Lipson, V Hayward Scientific reports 6, 23551, 2016
46. Evolving swimming soft-bodied creatures F Corucci, N Cheney, H Lipson, C Laschi, J Bongard ALIFE XV, The Fifteenth International Conference on the Synthesis and …, 2016
47. Web as a textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web. I Labutov, H Lipson International Educational Data Mining Society, 2016
48. Soldercubes: a self-soldering self-reconfiguring modular robot system J Neubert, H Lipson Autonomous Robots 40 (1), 139-158, 2016
49. Demonstrations of additive manufacturing for the hospitality industry J Lipton, J Witzleben, V Green, C Ryan, H Lipson 3D Printing and Additive Manufacturing 2 (4), 204-208, 2015
50. A hybrid evolutionary algorithm for the symbolic modeling of multiple-time-scale dynamical systems TW Cornforth, H Lipson Evolutionary Intelligence 8 (4), 149-164, 2015
51. Evolving soft robots in tight spaces N Cheney, J Bongard, H Lipson, Proceedings of the 2015 annual conference on Genetic and Evolutionary …, 2015
52. Understanding neural networks through deep visualization, J Yosinski, J Clune, A Nguyen, T Fuchs, H Lipson arXiv preprint arXiv:1506.06579, 2015
53. A grand challenge for additive manufacturing: Can we print a robot that will walk out of the printer? H Lipson
54. Additive manufacturing for the food industry JI Lipton, M Cutler, F Nigl, D Cohen, H Lipson, Trends in Food Science & Technology 43 (1), 114-123, 2015
55. Data smashing: uncovering lurking order in data I Chattopadhyay, H Lipson Journal of The Royal Society Interface 11 (101), 20140826, 2014 3D Printing and Additive Manufacturing 1 (4), 177-177, 2014
56. AMF tutorial: Colors and textures (Part 2) H Lipson 3D Printing and Additive Manufacturing 1 (4), 181-184, 2014
57. Bitblox: Printable digital materials for electromechanical machines R MacCurdy, A McNicoll, H Lipson The International Journal of Robotics Research 33 (10), 1342-1360, 2014
58. Self-soldering connectors for modular robots J Neubert, A Rost, H Lipson, IEEE Transactions on Robotics 30 (6), 1344-1357, 2014
59. 3D printable wax-silicone actuators JI Lipton, S Angle, H Lipson 2014 Annual International Solid Freeform Fabrication Symposium, 4-6, 2014
60. Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding N Cheney, R MacCurdy, J Clune, H Lipson ACM SIGEVOlution 7 (1), 11-23, 2014
61. Reverse-Engineering Nonlinear Analog Circuits with Evolutionary Computation TW Cornforth, H Lipson International Conference on Unconventional Computation and Natural …, 2014
62. Automated vibrational design and natural frequency tuning of multi-material structures N Cheney, E Ritz, H Lipson Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
63. Evolving autonomous agent controllers as analytical mathematical models P Grouchy, G D'Eleuterio Artificial Life Conference Proceedings 14, 681-688, 2014
64. Steps toward a modular library for turning any evolutionary domain into an online interactive platform P Szerlip, K Stanley Artificial Life Conference Proceedings 14, 900-907, 2014
65. Evolved electrophysiological soft robots N Cheney, J Clune, H Lipson Artificial Life Conference Proceedings 14, 222-229, 2014
66. Summary of “The Evolutionary Origins of Modularity” J Clune, JB Mouret, H Lipson Artificial Life Conference Proceedings 14, 41-42, 2014
67. Distilling Evidence of Long-Range Direction-Specific Causal Cross-Talk in Molecular Evolution of Retro-Viral Genomes I Chattopadhyay, H Lipson
68. Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 Data smashing I Chattopadhyay, H Lipson
69. Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 Generating code-switched text for lexical learning I Labutov, H Lipson
70. AMF tutorial: The basics (Part 1) H Lipson 3D Printing and Additive Manufacturing 1 (2), 85-87, 2014
71. Evolved machines shed light on robustness and resilience J Bongard, H Lipson Proceedings of the IEEE 102 (5), 899-914, 2014
72. Computing entropy rate of symbol sources & a distribution-free limit theorem I Chattopadhyay, H Lipson 2014 48th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2014
73. Dynamic simulation of soft multimaterial 3d-printed objects J Hiller, H Lipson Soft robotics 1 (1), 88-101, 2014
74. At the crossroads: interdisciplinary paths to soft robots MB Trimmer, PRH Ewoldt, M Kovac, H Lipson, N Lu, M Shahinpoor, ... Soft Robotics 1 (1), 63-69, 2014
75. Challenges and opportunities for design, simulation, and fabrication of soft robots H Lipson Soft Robotics 1 (1), 21-27, 2014
76. Hybrid printing of photopolymers and electromechanical assemblies R MacCurdy, H Lipson 25th Annual Solid Freeform Fabrication Symposium. Austin (TX), 2014
77. Solid Freeform Fabrication of Soft Tissue Simulators for Needle Injection JI Lipton, AP Tow, I Burbank, A Vazquez, H Lipson Solid Freeform Fabrication Symposium, 2014
78. How transferable are features in deep neural networks? J Yosinski, J Clune, Y Bengio, H Lipson Advances in neural information processing systems, 3320-3328, 2014
79. Peer-Mediated Testing I Labutov, K Luu, T Joachims, H Lipson Data Mining for Educational Assessment and Feedback (ASSESS 2014), 2014
80. Particle shape effects on the stress response of granular packings AG Athanassiadis, MZ Miskin, P Kaplan, N Rodenberg, SH Lee, J Merritt, ... Soft Matter 10 (1), 48-59, 2014
81. Advancing children’s engineering through desktop manufacturing G Bull, J Chiu, R Berry, H Lipson, C Xie Handbook of research on educational communications and technology, 675-688, 2014
82. Optimal experiment design for coevolutionary active learning D Le Ly, H Lipson IEEE Transactions on Evolutionary Computation 18 (3), 394-404, 2013
83. Inverse Gillespie for inferring stochastic reaction mechanisms from intermittent samples I Chattopadhyay, A Kuchina, GM Süel, H Lipson Proceedings of the National Academy of Sciences 110 (32), 12990-12995, 2013
84. Re-embedding words I Labutov, H Lipson Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
85. Ribosomal robots: Evolved designs inspired by protein folding S Risi, D Cellucci, H Lipson Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
86. Structure-reconfiguring robots: Autonomous truss reconfiguration and manipulation F Nigl, S Li, JE Blum, H Lipson IEEE Robotics & Automation Magazine 20 (3), 60-71, 2013
87. Upload any object and evolve it: Injecting complex geometric patterns into CPPNs for further evolution J Clune, A Chen, H Lipson 2013 IEEE Congress on Evolutionary Computation, 3395-3402, 2013