|
3 | 3 |
|
4 | 4 | @string{aps = {American Physical Society,}}
|
5 | 5 |
|
6 |
| -@book{einstein1920relativity, |
7 |
| - title={Relativity: the Special and General Theory}, |
8 |
| - author={Einstein, Albert}, |
9 |
| - year={1920}, |
10 |
| - publisher={Methuen & Co Ltd}, |
11 |
| - html={relativity.html} |
| 6 | +@article{khurana2024hierarchical, |
| 7 | + title={Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution}, |
| 8 | + author={Khurana, Mridul and Daw, Arka and Maruf, M and Uyeda, Josef C and Dahdul, Wasila and Charpentier, Caleb and Bak{\i}{\c{s}}, Yasin and Bart Jr, Henry L and Mabee, Paula M and Lapp, Hilmar and others}, |
| 9 | + publisher = {ECCV}, |
| 10 | + year={2024}, |
| 11 | + booktitle = {Proceedings of ECCV}, |
| 12 | + keywords = {Evolution, Diffusion Models, Hierarchical Conditioning, Generative AI, Computer Vision}, |
| 13 | + location = {Milan, Italy}, |
| 14 | + preview = {phylo_diffusion_architecture.jpg}, |
| 15 | + website = {https://imageomics.github.io/phylo-diffusion}, |
| 16 | + arxiv = {2408.00160v1} |
12 | 17 | }
|
13 | 18 |
|
14 |
| -@book{einstein1956investigations, |
15 |
| - bibtex_show={true}, |
16 |
| - title={Investigations on the Theory of the Brownian Movement}, |
17 |
| - author={Einstein, Albert}, |
18 |
| - year={1956}, |
19 |
| - publisher={Courier Corporation}, |
20 |
| - preview={brownian-motion.gif} |
| 19 | +@article{mehrab2024fish, |
| 20 | + title={Fish-Vista: A Multi-Purpose Dataset for Understanding \& Identification of Traits from Images}, |
| 21 | + author={Mehrab, Kazi Sajeed and Maruf, M and Daw, Arka and Manogaran, Harish Babu and Neog, Abhilash and Khurana, Mridul and Altintas, Bahadir and Bakis, Yasin and Campolongo, Elizabeth G and Thompson, Matthew J and others}, |
| 22 | + journal={arXiv preprint arXiv:2407.08027}, |
| 23 | + arxiv = {2407.08027}, |
| 24 | + year={2024} |
21 | 25 | }
|
22 | 26 |
|
23 |
| -@article{einstein1950meaning, |
24 |
| - abbr={AJP}, |
25 |
| - bibtex_show={true}, |
26 |
| - title={The meaning of relativity}, |
27 |
| - author={Einstein, Albert and Taub, AH}, |
28 |
| - journal={American Journal of Physics}, |
29 |
| - volume={18}, |
30 |
| - number={6}, |
31 |
| - pages={403--404}, |
32 |
| - year={1950}, |
33 |
| - publisher={American Association of Physics Teachers} |
| 27 | +@article{sawhney2024motion, |
| 28 | + title={Motion Enhanced Multi-Level Tracker (MEMTrack): A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments}, |
| 29 | + author={Sawhney, Medha and Karmarkar, Bhas and Leaman, Eric J and Daw, Arka and Karpatne, Anuj and Behkam, Bahareh}, |
| 30 | + journal={Advanced Intelligent Systems}, |
| 31 | + volume={6}, |
| 32 | + number={4}, |
| 33 | + pages={2300590}, |
| 34 | + year={2024}, |
| 35 | + publisher={Wiley Online Library} |
34 | 36 | }
|
35 | 37 |
|
36 |
| -@article{PhysRev.47.777, |
37 |
| - abbr={PhysRev}, |
38 |
| - title={Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?}, |
39 |
| - author={Einstein*†, A. and Podolsky*, B. and Rosen*, N.}, |
40 |
| - abstract={In a complete theory there is an element corresponding to each element of reality. A sufficient condition for the reality of a physical quantity is the possibility of predicting it with certainty, without disturbing the system. In quantum mechanics in the case of two physical quantities described by non-commuting operators, the knowledge of one precludes the knowledge of the other. Then either (1) the description of reality given by the wave function in quantum mechanics is not complete or (2) these two quantities cannot have simultaneous reality. Consideration of the problem of making predictions concerning a system on the basis of measurements made on another system that had previously interacted with it leads to the result that if (1) is false then (2) is also false. One is thus led to conclude that the description of reality as given by a wave function is not complete.}, |
41 |
| - journal={Phys. Rev.}, |
42 |
| - location={New Jersey}, |
43 |
| - volume={47}, |
44 |
| - issue={10}, |
45 |
| - pages={777--780}, |
46 |
| - numpages={0}, |
47 |
| - year={1935}, |
48 |
| - month={May}, |
49 |
| - publisher=aps, |
50 |
| - doi={10.1103/PhysRev.47.777}, |
51 |
| - url={http://link.aps.org/doi/10.1103/PhysRev.47.777}, |
52 |
| - html={https://journals.aps.org/pr/abstract/10.1103/PhysRev.47.777}, |
53 |
| - pdf={example_pdf.pdf}, |
54 |
| - altmetric={248277}, |
55 |
| - dimensions={true}, |
56 |
| - google_scholar_id={qyhmnyLat1gC}, |
57 |
| - video={https://www.youtube-nocookie.com/embed/aqz-KE-bpKQ}, |
58 |
| - additional_info={. *More Information* can be [found here](https://github.com/alshedivat/al-folio/)}, |
59 |
| - annotation={* Example use of superscripts<br>† Albert Einstein}, |
60 |
| - selected={true}, |
61 |
| - inspirehep_id = {3255} |
| 38 | +@article{elhamod2023neuro, |
| 39 | + title={Neuro-Visualizer: An Auto-encoder-based Loss Landscape Visualization Method}, |
| 40 | + author={Elhamod, Mohannad and Karpatne, Anuj}, |
| 41 | + journal={ICML 2024}, |
| 42 | + arxiv = {2309.14601}, |
| 43 | + year={2023} |
62 | 44 | }
|
63 | 45 |
|
64 |
| -@article{einstein1905molekularkinetischen, |
65 |
| - title={{\"U}ber die von der molekularkinetischen Theorie der W{\"a}rme geforderte Bewegung von in ruhenden Fl{\"u}ssigkeiten suspendierten Teilchen}, |
66 |
| - author={Einstein, A.}, |
67 |
| - journal={Annalen der physik}, |
68 |
| - volume={322}, |
69 |
| - number={8}, |
70 |
| - pages={549--560}, |
71 |
| - year={1905}, |
72 |
| - publisher={Wiley Online Library} |
| 46 | +@article{maruf2023beyond, |
| 47 | + title={Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation}, |
| 48 | + author={Maruf, M and Daw, Arka and Dutta, Amartya and Bu, Jie and Karpatne, Anuj}, |
| 49 | + journal={arXiv preprint arXiv:2308.11052}, |
| 50 | + year={2023} |
73 | 51 | }
|
74 | 52 |
|
75 |
| -@article{einstein1905movement, |
76 |
| - abbr={Ann. Phys.}, |
77 |
| - title={Un the movement of small particles suspended in statiunary liquids required by the molecular-kinetic theory 0f heat}, |
78 |
| - author={Einstein, A.}, |
79 |
| - journal={Ann. Phys.}, |
80 |
| - volume={17}, |
81 |
| - pages={549--560}, |
82 |
| - year={1905} |
| 53 | +@inproceedings{elhamod2023discovering, |
| 54 | + title={Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks}, |
| 55 | + author={Elhamod, Mohannad and Khurana, Mridul and Manogaran, Harish Babu and Uyeda, Josef C and Balk, Meghan A and Dahdul, Wasila and Bakis, Yasin and Bart Jr, Henry L and Mabee, Paula M and Lapp, Hilmar and others}, |
| 56 | + booktitle={Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining}, |
| 57 | + pages={3966--3978}, |
| 58 | + year={2023} |
83 | 59 | }
|
84 | 60 |
|
85 |
| -@article{einstein1905electrodynamics, |
86 |
| - title={On the electrodynamics of moving bodies}, |
87 |
| - author={Einstein, A.}, |
88 |
| - year={1905} |
| 61 | +@inproceedings{sawhney2023detecting, |
| 62 | + title={Detecting and Tracking Hard-to-Detect Bacteria in Dense Porous Backgrounds}, |
| 63 | + author={Sawhney, Medha and Karmarkar, Bhas and Leaman, Eric J and Daw, Arka and Karpatne, Anuj and Behkam, Bahareh}, |
| 64 | + year={2023}, |
| 65 | + organization={CVPR Workshop on CV4Animals 2023} |
89 | 66 | }
|
90 | 67 |
|
91 |
| -@Article{einstein1905photoelectriceffect, |
92 |
| - bibtex_show={true}, |
93 |
| - abbr={Ann. Phys.}, |
94 |
| - title="{{\"U}ber einen die Erzeugung und Verwandlung des Lichtes betreffenden heuristischen Gesichtspunkt}", |
95 |
| - author={Albert Einstein}, |
96 |
| - abstract={This is the abstract text.}, |
97 |
| - journal={Ann. Phys.}, |
98 |
| - volume={322}, |
99 |
| - number={6}, |
100 |
| - pages={132--148}, |
101 |
| - year={1905}, |
102 |
| - doi={10.1002/andp.19053220607}, |
103 |
| - award={Albert Einstein receveid the **Nobel Prize in Physics** 1921 *for his services to Theoretical Physics, and especially for his discovery of the law of the photoelectric effect*}, |
104 |
| - award_name={Nobel Prize} |
| 68 | +@article{bu2023let, |
| 69 | + title={Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation}, |
| 70 | + author={Bu, Jie and Mehrab, Kazi Sajeed and Karpatne, Anuj}, |
| 71 | + journal={arXiv preprint arXiv:2305.15562}, |
| 72 | + year={2023} |
105 | 73 | }
|
106 | 74 |
|
107 |
| -@book{przibram1967letters, |
108 |
| - bibtex_show={true}, |
109 |
| - title={Letters on wave mechanics}, |
110 |
| - author={Einstein, Albert and Schrödinger, Erwin and Planck, Max and Lorentz, Hendrik Antoon and Przibram, Karl}, |
111 |
| - year={1967}, |
112 |
| - publisher={Vision}, |
113 |
| - preview={wave-mechanics.gif}, |
114 |
| - abbr={Vision} |
| 75 | +@INPROCEEDINGS{10020603, |
| 76 | + author={Daw, Arka and Yeo, Kyongmin and Karpatne, Anuj and Klein, Levente}, |
| 77 | + booktitle={2022 IEEE International Conference on Big Data (Big Data)}, |
| 78 | + title={Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring}, |
| 79 | + year={2022}, |
| 80 | + volume={}, |
| 81 | + number={}, |
| 82 | + pages={4835-4841}, |
| 83 | + keywords={Methane;Pollution;Stacking;Big Data;Multitasking;Mathematical models;Greenhouse gases;Climate change;Environmental monitoring;Physics-informed Machine Learning;Uncertainty Quantification;Climate and Sustainability}, |
| 84 | + doi={10.1109/BigData55660.2022.10020603} |
115 | 85 | }
|
| 86 | + |
| 87 | +@article{elhamod2022cophy, |
| 88 | + title={CoPhy-PGNN: Learning physics-guided neural networks with competing loss functions for solving eigenvalue problems}, |
| 89 | + author={Elhamod, Mohannad and Bu, Jie and Singh, Christopher and Redell, Matthew and Ghosh, Abantika and Podolskiy, Viktor and Lee, Wei-Cheng and Karpatne, Anuj}, |
| 90 | + journal={ACM Transactions on Intelligent Systems and Technology}, |
| 91 | + volume={13}, |
| 92 | + number={6}, |
| 93 | + pages={1--23}, |
| 94 | + year={2022}, |
| 95 | + publisher={ACM New York, NY} |
| 96 | +} |
| 97 | + |
| 98 | + |
| 99 | + |
| 100 | + |
| 101 | + |
| 102 | + |
| 103 | + |
| 104 | + |
| 105 | + |
| 106 | + |
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